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description Publicationkeyboard_double_arrow_right Article , Other literature type 2022 HungaryPublisher:Springer Science and Business Media LLC Safwan Mohammed; Karam Alsafadi; Glory O. Enaruvbe; Bashar Bashir; Ahmed Elbeltagi; Adrienn Széles; Abdullah Alsalman; Endre Harsányi;pmid: 35614172
pmc: PMC9132936
AbstractThis study examined the physical properties of agricultural drought (i.e., intensity, duration, and severity) in Hungary from 1961 to 2010 based on the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The study analyzed the interaction between drought and crop yield for maize and wheat using standardized yield residual series (SYRS), and the crop-drought resilient factor (CDRF). The results of both SPI and SPEI (-3, -6) showed that the western part of Hungary has significantly more prone to agricultural drought than the eastern part of the country. Drought frequency analysis reveals that the eastern, northern, and central parts of Hungary were the most affected regions. Drought analysis also showed that drought was particularly severe in Hungary during 1970–1973, 1990–1995, 2000–2003, and 2007. The yield of maize was more adversely affected than wheat especially in the western and southern regions of Hungary (1961–2010). In general, maize and wheat yields were severely non-resilient (CDRF < 0.8) in the central and western part of the country. The results suggest that drought events are a threat to the attainment of the second Sustainable Development Goals (SDG-2). Therefore, to ensure food security in Hungary and in other parts of the world, drought resistant crop varieties need to be developed to mitigate the adverse effects of climate change on agricultural production.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-022-12799-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 69 citations 69 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-022-12799-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 HungaryPublisher:Springer Science and Business Media LLC Safwan Mohammed; Karam Alsafadi; Glory O. Enaruvbe; Bashar Bashir; Ahmed Elbeltagi; Adrienn Széles; Abdullah Alsalman; Endre Harsányi;pmid: 35614172
pmc: PMC9132936
AbstractThis study examined the physical properties of agricultural drought (i.e., intensity, duration, and severity) in Hungary from 1961 to 2010 based on the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The study analyzed the interaction between drought and crop yield for maize and wheat using standardized yield residual series (SYRS), and the crop-drought resilient factor (CDRF). The results of both SPI and SPEI (-3, -6) showed that the western part of Hungary has significantly more prone to agricultural drought than the eastern part of the country. Drought frequency analysis reveals that the eastern, northern, and central parts of Hungary were the most affected regions. Drought analysis also showed that drought was particularly severe in Hungary during 1970–1973, 1990–1995, 2000–2003, and 2007. The yield of maize was more adversely affected than wheat especially in the western and southern regions of Hungary (1961–2010). In general, maize and wheat yields were severely non-resilient (CDRF < 0.8) in the central and western part of the country. The results suggest that drought events are a threat to the attainment of the second Sustainable Development Goals (SDG-2). Therefore, to ensure food security in Hungary and in other parts of the world, drought resistant crop varieties need to be developed to mitigate the adverse effects of climate change on agricultural production.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-022-12799-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 69 citations 69 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-022-12799-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Funded by:FCT | PD/BD/114558/2016FCT| PD/BD/114558/2016Tarate Suryakant Bajirao; Pravendra Kumar; Manish Kumar; Ahmed Elbeltagi; Alban Kuriqi;doi: 10.3390/su13020542
Estimating sediment flow rate from a drainage area plays an essential role in better watershed planning and management. In this study, the validity of simple and wavelet-coupled Artificial Intelligence (AI) models was analyzed for daily Suspended Sediment (SSC) estimation of highly dynamic Koyna River basin of India. Simple AI models such as the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were developed by supplying the original time series data as an input without pre-processing through a Wavelet (W) transform. The hybrid wavelet-coupled W-ANN and W-ANFIS models were developed by supplying the decomposed time series sub-signals using Discrete Wavelet Transform (DWT). In total, three mother wavelets, namely Haar, Daubechies, and Coiflets were employed to decompose original time series data into different multi-frequency sub-signals at an appropriate decomposition level. Quantitative and qualitative performance evaluation criteria were used to select the best model for daily SSC estimation. The reliability of the developed models was also assessed using uncertainty analysis. Finally, it was revealed that the data pre-processing using wavelet transform improves the model’s predictive efficiency and reliability significantly. In this study, it was observed that the performance of the Coiflet wavelet-coupled ANFIS model is superior to other models and can be applied for daily SSC estimation of the highly dynamic rivers. As per sensitivity analysis, previous one-day SSC (St-1) is the most crucial input variable for daily SSC estimation of the Koyna River basin.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/2/542/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13020542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 33 citations 33 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/2/542/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13020542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Funded by:FCT | PD/BD/114558/2016FCT| PD/BD/114558/2016Tarate Suryakant Bajirao; Pravendra Kumar; Manish Kumar; Ahmed Elbeltagi; Alban Kuriqi;doi: 10.3390/su13020542
Estimating sediment flow rate from a drainage area plays an essential role in better watershed planning and management. In this study, the validity of simple and wavelet-coupled Artificial Intelligence (AI) models was analyzed for daily Suspended Sediment (SSC) estimation of highly dynamic Koyna River basin of India. Simple AI models such as the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were developed by supplying the original time series data as an input without pre-processing through a Wavelet (W) transform. The hybrid wavelet-coupled W-ANN and W-ANFIS models were developed by supplying the decomposed time series sub-signals using Discrete Wavelet Transform (DWT). In total, three mother wavelets, namely Haar, Daubechies, and Coiflets were employed to decompose original time series data into different multi-frequency sub-signals at an appropriate decomposition level. Quantitative and qualitative performance evaluation criteria were used to select the best model for daily SSC estimation. The reliability of the developed models was also assessed using uncertainty analysis. Finally, it was revealed that the data pre-processing using wavelet transform improves the model’s predictive efficiency and reliability significantly. In this study, it was observed that the performance of the Coiflet wavelet-coupled ANFIS model is superior to other models and can be applied for daily SSC estimation of the highly dynamic rivers. As per sensitivity analysis, previous one-day SSC (St-1) is the most crucial input variable for daily SSC estimation of the Koyna River basin.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/2/542/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13020542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 33 citations 33 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/2/542/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13020542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC Shubham Jain; Aman Srivastava; Leena Khadke; Uday Chatterjee; Ahmed Elbeltagi;pmid: 39322930
Deserts and semi-arid environments are habitats to rare species, rich cultural heritage, and essential ecological processes. Approximately 46% of the world's surface area is covered by drylands (arid, semi-arid, and dry sub-humid areas), where 3 billion people live and unfortunately witness water insecurity and desertification implications. In this context, the present study argued that reduced dryland ecosystem services and decreased ecosystem health have resulted from the individual and compounding impacts of desertification, water scarcity, and climate change. At 1.5 °C, 2 °C, and 3 °C of global warming, under the shared socio-economic pathway SSP2, the number of people living in drylands who will be affected by various effects on water, energy, and land sectors is projected to reach 951 million, 1152 million, and 1285 million, respectively. Due to combinations of land use change, rainfall variations, fire suppression, and CO2 fertilization, as well as unsustainable management, widespread woody encroachment has occurred in many shrublands and savannas in Africa, Australia, North America, and South America. This has altered biodiversity and reduces ecosystem services, such as water availability and grazing potential. The north side of the Mediterranean, southern Africa, and North and South America are projected to have the most semiarid expansion. Contrarily, drylands are expected to shrink in India, northern China, eastern equatorial Africa, and the southern Sahara. Growing research evidence highlights the adoption of policy frameworks deriving the solutions from soil land management (SLM), indigenous and local knowledge (ILK), early warning systems coupled with adaptation and mitigation responses, and targets of sustainable development goals (SDGs).
Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-024-34916-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu16 citations 16 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-024-34916-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC Shubham Jain; Aman Srivastava; Leena Khadke; Uday Chatterjee; Ahmed Elbeltagi;pmid: 39322930
Deserts and semi-arid environments are habitats to rare species, rich cultural heritage, and essential ecological processes. Approximately 46% of the world's surface area is covered by drylands (arid, semi-arid, and dry sub-humid areas), where 3 billion people live and unfortunately witness water insecurity and desertification implications. In this context, the present study argued that reduced dryland ecosystem services and decreased ecosystem health have resulted from the individual and compounding impacts of desertification, water scarcity, and climate change. At 1.5 °C, 2 °C, and 3 °C of global warming, under the shared socio-economic pathway SSP2, the number of people living in drylands who will be affected by various effects on water, energy, and land sectors is projected to reach 951 million, 1152 million, and 1285 million, respectively. Due to combinations of land use change, rainfall variations, fire suppression, and CO2 fertilization, as well as unsustainable management, widespread woody encroachment has occurred in many shrublands and savannas in Africa, Australia, North America, and South America. This has altered biodiversity and reduces ecosystem services, such as water availability and grazing potential. The north side of the Mediterranean, southern Africa, and North and South America are projected to have the most semiarid expansion. Contrarily, drylands are expected to shrink in India, northern China, eastern equatorial Africa, and the southern Sahara. Growing research evidence highlights the adoption of policy frameworks deriving the solutions from soil land management (SLM), indigenous and local knowledge (ILK), early warning systems coupled with adaptation and mitigation responses, and targets of sustainable development goals (SDGs).
Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-024-34916-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu16 citations 16 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-024-34916-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:IWA Publishing Jitendra Rajput; Nand Lal Kushwaha; Aman Srivastava; Chaitanya B. Pande; Triptimayee Suna; D.R. Sena; Deepak Singh; Arabinda Mishra; Pulak Sahoo; Ahmed Elbeltagi;ABSTRACT Accurate prediction of pan evaporation and mean temperature is crucial for effective water resources management, influencing the hydrological cycle and impacting water availability. This study focused on New Delhi's semi-arid climate, data spanning 31 years (1990–2020) were used to predict these variables using advanced algorithms such as Bagging, Random Subspace (RSS), M5P, and REPTree. The models were rigorously evaluated using 10 performance metrics, including correlation coefficient, mean absolute error (MAE), and Nash–Sutcliffe Efficiency (NSE) model coefficient. The Bagging model emerged as the best model with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90, and 22.0, respectively, during model testing phase for pan evaporation prediction. In predicting mean temperature, the Bagging model reported the best results with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90 and 22.0, respectively, during the model testing phase. These findings offer valuable insights for enhancing relative humidity prediction models in diverse climatic conditions. The Bagging model's robust performance underscores its potential application in water resource management.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2166/wpt.2024.144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2166/wpt.2024.144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:IWA Publishing Jitendra Rajput; Nand Lal Kushwaha; Aman Srivastava; Chaitanya B. Pande; Triptimayee Suna; D.R. Sena; Deepak Singh; Arabinda Mishra; Pulak Sahoo; Ahmed Elbeltagi;ABSTRACT Accurate prediction of pan evaporation and mean temperature is crucial for effective water resources management, influencing the hydrological cycle and impacting water availability. This study focused on New Delhi's semi-arid climate, data spanning 31 years (1990–2020) were used to predict these variables using advanced algorithms such as Bagging, Random Subspace (RSS), M5P, and REPTree. The models were rigorously evaluated using 10 performance metrics, including correlation coefficient, mean absolute error (MAE), and Nash–Sutcliffe Efficiency (NSE) model coefficient. The Bagging model emerged as the best model with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90, and 22.0, respectively, during model testing phase for pan evaporation prediction. In predicting mean temperature, the Bagging model reported the best results with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90 and 22.0, respectively, during the model testing phase. These findings offer valuable insights for enhancing relative humidity prediction models in diverse climatic conditions. The Bagging model's robust performance underscores its potential application in water resource management.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2166/wpt.2024.144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2166/wpt.2024.144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 AustraliaPublisher:Elsevier BV Ankur Srivastava; Behrouz Mehdinejadiani; Anurag Malik; Muhammad Rizwan Aslam; Ahmed Elbeltagi; Ahmed Elbeltagi; Jinsong Deng; Amandeep Singh Bhatia;Spatial-temporal information of different water resources is essential to rationally manage, sustainably develop, and optimally utilize water. This study focused on simulating future water footprint (WF) of two agronomically important crops (i.e., wheat and maize) using deep neural networks (DNN) method in Nile delta. DNN model was calibrated and validated by using 2006-2014 and 2015-2017 datasets. Moreover, future data (2022-2040) were obtained from three Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5, and incorporated into DNN prediction set. The findings showed that determination-coefficient between historical-predicted crop evapotranspiration (ETc) varied from 0.92 to 0.97 for two crops. The yield prediction values of wheat-maize deviated within the ranges of -3.21% to 3.47% and -4.93% to 5.88%, respectively. Based on the ensemble of RCP, precipitation was forecasted to decease by 667.40% and 261.73% in winter and summer in western as compared to eastern, respectively, which will ultimately be dropped to 105.02% and 60.87%, respectively parallel to historical. Therefore, the substantial fluctuations in precipitation caused an obvious decrease in green WF of wheat (i.e., 24.96% and 37.44%) in western and eastern, respectively. Additionally, for maize, it induced a 103.93% decrease in western and an 8.96% increase in eastern. Furthermore, increasing ETc by 8.46% and 12.45% gave rise to substantially increasing (i.e., 8.96% and 17.21%) in western for wheat-maize compared to the east, respectively. Likewise, grey wheat-maize WF findings reveals that there was an increase of 3.07% and 5.02% in western as compared to -14.51% and 12.37% in eastern. Hence, our results highly recommend the optimal use of the eastern delta to save blue-water by 16.58% and 40.25% of total requirements for wheat-maize in contrast to others. Overall, the current research framework and results derived from the adopted methodology will help in optimal planning of future water under climate change in the agricultural sector.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2020.140770&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 AustraliaPublisher:Elsevier BV Ankur Srivastava; Behrouz Mehdinejadiani; Anurag Malik; Muhammad Rizwan Aslam; Ahmed Elbeltagi; Ahmed Elbeltagi; Jinsong Deng; Amandeep Singh Bhatia;Spatial-temporal information of different water resources is essential to rationally manage, sustainably develop, and optimally utilize water. This study focused on simulating future water footprint (WF) of two agronomically important crops (i.e., wheat and maize) using deep neural networks (DNN) method in Nile delta. DNN model was calibrated and validated by using 2006-2014 and 2015-2017 datasets. Moreover, future data (2022-2040) were obtained from three Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5, and incorporated into DNN prediction set. The findings showed that determination-coefficient between historical-predicted crop evapotranspiration (ETc) varied from 0.92 to 0.97 for two crops. The yield prediction values of wheat-maize deviated within the ranges of -3.21% to 3.47% and -4.93% to 5.88%, respectively. Based on the ensemble of RCP, precipitation was forecasted to decease by 667.40% and 261.73% in winter and summer in western as compared to eastern, respectively, which will ultimately be dropped to 105.02% and 60.87%, respectively parallel to historical. Therefore, the substantial fluctuations in precipitation caused an obvious decrease in green WF of wheat (i.e., 24.96% and 37.44%) in western and eastern, respectively. Additionally, for maize, it induced a 103.93% decrease in western and an 8.96% increase in eastern. Furthermore, increasing ETc by 8.46% and 12.45% gave rise to substantially increasing (i.e., 8.96% and 17.21%) in western for wheat-maize compared to the east, respectively. Likewise, grey wheat-maize WF findings reveals that there was an increase of 3.07% and 5.02% in western as compared to -14.51% and 12.37% in eastern. Hence, our results highly recommend the optimal use of the eastern delta to save blue-water by 16.58% and 40.25% of total requirements for wheat-maize in contrast to others. Overall, the current research framework and results derived from the adopted methodology will help in optimal planning of future water under climate change in the agricultural sector.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2020.140770&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Authors: Mohamed Galal Eltarabily; Ismail Abd-Elaty; Ahmed Elbeltagi; Martina Zeleňáková; +1 AuthorsMohamed Galal Eltarabily; Ismail Abd-Elaty; Ahmed Elbeltagi; Martina Zeleňáková; Ismail Fathy;doi: 10.3390/w15030572
Climate change (CC) directly affects crops’ growth stages or level of maturity, solar radiation, humidity, temperature, and wind speed, and thus crop evapotranspiration (ETc). Increased crop ETc shifts the fraction of discharge from groundwater aquifers, while long-term shifts in discharge can change the groundwater level and, subsequently, aquifer storage. The long-term effect of CC on the groundwater flow under different values of ETc was assessed for the Nile Delta aquifer (NDA) in Egypt. To quantify such impacts, numerical modeling using MODFLOW was set up to simulate the groundwater flow and differences in groundwater levels in the long term in the years 2030, 2050, and 2070. The model was initially calibrated against the hydraulic conductivity of the aquifer layers of the groundwater levels in the year 2008 from 60 observation wells throughout the study area. Then, it was validated with the current groundwater levels using an independent set of data (23 points), obtaining a very good agreement between the calculated and observed heads. The results showed that the combination of solar radiation, vapor pressure deficit, and humidity (H) are the best variables for predicting ETc in Nile Delta zones (north, middle, and south). ETc among the whole Nile Delta will increase by 11.2, 15.0, and 19.0% for the years 2030, 2050, and 2070, respectively. Zone budget analysis revealed that the increase of ETc will decrease the inflow and the groundwater head difference (GWHD). Recharge of the aquifer will be decreased by 19.74, 27.16, and 36.84% in 2030, 2050, and 2070, respectively. The GWHD will record 0.95 m, 1.05 m, and 1.40 m in 2030, 2050, and 2070, respectively when considering the increase of ETc. This reduction will lead to a slight decline in the storage of the Nile Delta groundwater aquifer. Our findings support the decision of the designers and the policymakers to guarantee a long-term sustainable management plan of the groundwater for the NDA and deltas with similar climate conditions.
Water arrow_drop_down WaterOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2073-4441/15/3/572/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/w15030572&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Water arrow_drop_down WaterOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2073-4441/15/3/572/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/w15030572&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Authors: Mohamed Galal Eltarabily; Ismail Abd-Elaty; Ahmed Elbeltagi; Martina Zeleňáková; +1 AuthorsMohamed Galal Eltarabily; Ismail Abd-Elaty; Ahmed Elbeltagi; Martina Zeleňáková; Ismail Fathy;doi: 10.3390/w15030572
Climate change (CC) directly affects crops’ growth stages or level of maturity, solar radiation, humidity, temperature, and wind speed, and thus crop evapotranspiration (ETc). Increased crop ETc shifts the fraction of discharge from groundwater aquifers, while long-term shifts in discharge can change the groundwater level and, subsequently, aquifer storage. The long-term effect of CC on the groundwater flow under different values of ETc was assessed for the Nile Delta aquifer (NDA) in Egypt. To quantify such impacts, numerical modeling using MODFLOW was set up to simulate the groundwater flow and differences in groundwater levels in the long term in the years 2030, 2050, and 2070. The model was initially calibrated against the hydraulic conductivity of the aquifer layers of the groundwater levels in the year 2008 from 60 observation wells throughout the study area. Then, it was validated with the current groundwater levels using an independent set of data (23 points), obtaining a very good agreement between the calculated and observed heads. The results showed that the combination of solar radiation, vapor pressure deficit, and humidity (H) are the best variables for predicting ETc in Nile Delta zones (north, middle, and south). ETc among the whole Nile Delta will increase by 11.2, 15.0, and 19.0% for the years 2030, 2050, and 2070, respectively. Zone budget analysis revealed that the increase of ETc will decrease the inflow and the groundwater head difference (GWHD). Recharge of the aquifer will be decreased by 19.74, 27.16, and 36.84% in 2030, 2050, and 2070, respectively. The GWHD will record 0.95 m, 1.05 m, and 1.40 m in 2030, 2050, and 2070, respectively when considering the increase of ETc. This reduction will lead to a slight decline in the storage of the Nile Delta groundwater aquifer. Our findings support the decision of the designers and the policymakers to guarantee a long-term sustainable management plan of the groundwater for the NDA and deltas with similar climate conditions.
Water arrow_drop_down WaterOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2073-4441/15/3/572/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/w15030572&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Water arrow_drop_down WaterOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2073-4441/15/3/572/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/w15030572&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Zhixin Zhao; Aidi Huo; Qi Liu; Jianbing Peng; Ahmed Elbeltagi; Mohamed EL-Sayed Abuarab; Mohamed Said Desouky Abu-Hashim;doi: 10.3390/su151410785
Studying the relationship between human activities and soil erosion on a regional scale is of great significance for macro-decision-making in soil erosion prevention and control. The entropy weight method and RUSLE model are used to analyze the spatiotemporal variation in human activity intensity (HAI) and soil erosion in the Weihe River Basin (WRB) from 2005 to 2020. Through geographic detectors and a four-quadrant model, the impact of various driving factors and the coupling degree of the human–land relationship are studied. The results showed: (1) During the past 15 years, the moderate, high, strong, and severe erosion areas in the WRB decreased by 9.88%, 35.89%, 45.17%, and 70.05%, respectively. The ratio of the historical sand transport modulus to the RUSLE model result is 0.83, indicating that the results obtained by the RUSLE model can be used for further analysis. (2) Slight and weak degrees account for 80% in the northwest region. The high and strong regions are mainly distributed in the Shaanxi section, accounting for 3% of the total basin. (3) The coupling between human activities and soil erosion is constantly strengthening, and the joint effect of pop and crop is the main reason for the slowdown and spatial differences in soil erosion. This indicates that the ecological environment became stable. These findings contribute by acting as references for soil and water conservation and management in the WRB to promote a harmonious relationship between humans and the environment.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151410785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151410785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Zhixin Zhao; Aidi Huo; Qi Liu; Jianbing Peng; Ahmed Elbeltagi; Mohamed EL-Sayed Abuarab; Mohamed Said Desouky Abu-Hashim;doi: 10.3390/su151410785
Studying the relationship between human activities and soil erosion on a regional scale is of great significance for macro-decision-making in soil erosion prevention and control. The entropy weight method and RUSLE model are used to analyze the spatiotemporal variation in human activity intensity (HAI) and soil erosion in the Weihe River Basin (WRB) from 2005 to 2020. Through geographic detectors and a four-quadrant model, the impact of various driving factors and the coupling degree of the human–land relationship are studied. The results showed: (1) During the past 15 years, the moderate, high, strong, and severe erosion areas in the WRB decreased by 9.88%, 35.89%, 45.17%, and 70.05%, respectively. The ratio of the historical sand transport modulus to the RUSLE model result is 0.83, indicating that the results obtained by the RUSLE model can be used for further analysis. (2) Slight and weak degrees account for 80% in the northwest region. The high and strong regions are mainly distributed in the Shaanxi section, accounting for 3% of the total basin. (3) The coupling between human activities and soil erosion is constantly strengthening, and the joint effect of pop and crop is the main reason for the slowdown and spatial differences in soil erosion. This indicates that the ecological environment became stable. These findings contribute by acting as references for soil and water conservation and management in the WRB to promote a harmonious relationship between humans and the environment.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151410785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151410785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2021 SwedenPublisher:Informa UK Limited Muhammad Shafeeque; Arfan Arshad; Ahmed Elbeltagi; Abid Sarwar; Quoc Bao Pham; Shahbaz Nasir Khan; Adil Dilawar; Nadhir Al‐Ansari;Les mesures strictes de confinement ont non seulement contribué à freiner la propagation de l'infection à COVID-19, mais ont également amélioré les conditions environnementales dans le monde entier. L'objectif principal de la présente étude était d'étudier les co-bénéfices du confinement de la COVID-19 sur l'atmosphère et le système écologique aquatique dans le cadre d'activités anthropiques restreintes en Asie du Sud. Les données de télédétection (a) des émissions de NO2 de l'instrument de surveillance de l'ozone (OMI), (b) de la profondeur optique des aérosols (AOD) du spectroradiomètre d'imagerie à résolution modérée (MODIS) et (c) de la chlorophylle (Chl-a) et des données de turbidité de MODIS-Aqua Level-3 au cours de janvier-octobre (2020) ont été analysées pour évaluer les changements dans la pollution de l'air et de l'eau par rapport aux cinq dernières années (2015–2019). Les interactions entre la pollution de l'air et de l'eau ont également été étudiées en utilisant le ruissellement terrestre et les précipitations en 2019 et 2020 à une échelle mensuelle pour enquêter sur les événements anormaux, qui pourraient affecter la charge d'azote dans les régions côtières. Les résultats ont révélé une baisse considérable de la pollution de l'air et de l'eau (réduction de 30 à 40 % des émissions de NO2, de 45 % de l'AOD, de 50 % de la concentration de chl-a sur les côtes et de 29 % de la turbidité) en Asie du Sud. Le taux de réduction des émissions de NO2 a été le plus élevé à Lahore (32 %), New Delhi (31 %), Ahmadabad (29 %), Karachi (26 %), Hyderabad (24 %) et Chennai (17 %) pendant la période de confinement strict d'avril à juin 2020. Une corrélation positive entre l'AOD et les émissions de NO2 (0,23-0,50) implique qu'une diminution de l'AOD est attribuée à une réduction du NO2. Il a été observé que pendant le confinement strict, la turbidité a diminué de 29 %, 11 %, 16 % et 17 % le long des régions côtières de Karachi, Mumbai, Calcutta et Dhaka, respectivement, tandis qu'une augmentation de 5 à 6 % de la turbidité a été observée sur les Madras au cours de la même période. Les résultats soulignent l'importance de la réduction des émissions d'azote en raison de l'arrêt de la consommation de combustibles fossiles et de leurs relations avec la réduction de la pollution de l'air et de l'eau. Il est conclu que l'environnement atmosphérique et hydrosphérique peut être amélioré en mettant en œuvre des restrictions intelligentes sur la consommation de combustibles fossiles avec un effet minimum sur la socio-économie dans la région. Des contraintes intelligentes sur l'utilisation des combustibles fossiles sont recommandées pour contrôler la pollution de l'air et de l'eau même après la reprise des activités sociales et économiques. Las estrictas medidas de confinamiento no solo contribuyeron a frenar la propagación de la infección por COVID-19, sino que también mejoraron las condiciones ambientales en todo el mundo. El objetivo principal del estudio actual fue investigar los beneficios colaterales del confinamiento por COVID-19 en la atmósfera y el sistema ecológico acuático bajo actividades antropogénicas restringidas en el sur de Asia. Los datos de teledetección (a) emisiones de NO2 del Instrumento de Monitoreo de Ozono (OMI), (b) Profundidad Óptica de Aerosol (AOD) del Espectrorradiómetro de Imágenes de Resolución Moderada (MODIS) y (c) clorofila (Chl-a) y datos de turbidez de MODIS-Aqua Nivel-3 durante enero-octubre (2020) se analizaron para evaluar los cambios en la contaminación del aire y el agua en comparación con los últimos cinco años (2015–2019). Las interacciones entre la contaminación del aire y del agua también se investigaron utilizando la escorrentía y las precipitaciones terrestres en 2019 y 2020 a escala mensual para investigar los eventos anómalos, que podrían afectar la carga de N en las regiones costeras. Los resultados revelaron una caída considerable en la contaminación del aire y el agua (reducción del 30–40% en las emisiones de NO2, 45% en AOD, disminución del 50% en la concentración costera de Chl-a y disminución del 29% en la turbidez) en el sur de Asia. La tasa de reducción de las emisiones de NO2 fue la más alta para Lahore (32%), Nueva Delhi (31%), Ahmadabad (29%), Karachi (26%), Hyderabad (24%) y Chennai (17%) durante el estricto período de confinamiento de abril a junio de 2020. Una correlación positiva entre AOD y las emisiones de NO2 (0.23-0.50) implica que una disminución en AOD se atribuye a una reducción en NO2. Se observó que durante el confinamiento estricto, la turbidez ha disminuido en un 29%, 11%, 16% y 17% a lo largo de las regiones costeras de Karachi, Mumbai, Calcuta y Dhaka, respectivamente, mientras que se observó un aumento del 5–6% en la turbidez en Madras durante el mismo período. Los hallazgos enfatizan la importancia de reducir las emisiones de N debido a la interrupción del consumo de combustibles fósiles y sus relaciones con la reducción de la contaminación del aire y el agua. Se concluye que el ambiente atmosférico e hidrosférico puede mejorarse mediante la implementación de restricciones inteligentes en el consumo de combustibles fósiles con un efecto mínimo en la socioeconómica de la región. Se recomiendan restricciones inteligentes en el uso de combustibles fósiles para controlar la contaminación del aire y del agua incluso después de que las actividades sociales y económicas reanuden el escenario habitual. The strict lockdown measures not only contributed to curbing the spread of COVID-19 infection, but also improved the environmental conditions worldwide. The main goal of the current study was to investigate the co-benefits of COVID-19 lockdown on the atmosphere and aquatic ecological system under restricted anthropogenic activities in South Asia. The remote sensing data (a) NO2 emissions from the Ozone Monitoring Instrument (OMI), (b) Aerosol Optical Depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS), and (c) chlorophyll (Chl-a) and turbidity data from MODIS-Aqua Level-3 during Jan–Oct (2020) were analyzed to assess the changes in air and water pollution compared to the last five years (2015–2019). The interactions between the air and water pollution were also investigated using overland runoff and precipitation in 2019 and 2020 at a monthly scale to investigate the anomalous events, which could affect the N loading to coastal regions. The results revealed a considerable drop in the air and water pollution (30–40% reduction in NO2 emissions, 45% in AOD, 50% decline in coastal Chl-a concentration, and 29% decline in turbidity) over South Asia. The rate of reduction in NO2 emissions was found the highest for Lahore (32%), New Delhi (31%), Ahmadabad (29%), Karachi (26%), Hyderabad (24%), and Chennai (17%) during the strict lockdown period from Apr–Jun, 2020. A positive correlation between AOD and NO2 emissions (0.23–0.50) implies that a decrease in AOD is attributed to a reduction in NO2. It was observed that during strict lockdown, the turbidity has decreased by 29%, 11%, 16%, and 17% along the coastal regions of Karachi, Mumbai, Calcutta, and Dhaka, respectively, while a 5–6% increase in turbidity was seen over the Madras during the same period. The findings stress the importance of reduced N emissions due to halted fossil fuel consumption and their relationships with the reduced air and water pollution. It is concluded that the atmospheric and hydrospheric environment can be improved by implementing smart restrictions on fossil fuel consumption with a minimum effect on socioeconomics in the region. Smart constraints on fossil fuel usage are recommended to control air and water pollution even after the social and economic activities resume business-as-usual scenario. لم تساهم إجراءات الإغلاق الصارمة في الحد من انتشار عدوى COVID -19 فحسب، بل أدت أيضًا إلى تحسين الظروف البيئية في جميع أنحاء العالم. كان الهدف الرئيسي من الدراسة الحالية هو التحقيق في الفوائد المشتركة لإغلاق COVID -19 على الغلاف الجوي والنظام البيئي المائي في ظل الأنشطة البشرية المقيدة في جنوب آسيا. تم تحليل بيانات الاستشعار عن بعد (أ) انبعاثات ثاني أكسيد النيتروجين من جهاز مراقبة الأوزون (OMI)، (ب) العمق البصري للهباء الجوي (AOD) من مقياس الطيف التصويري متوسط الدقة (MODIS)، و (ج) بيانات الكلوروفيل (Chl - a) والتعكر من MODIS - Aqua Level -3 خلال الفترة من يناير إلى أكتوبر (2020) لتقييم التغيرات في تلوث الهواء والماء مقارنة بالسنوات الخمس الماضية (2015–2019). كما تم التحقيق في التفاعلات بين تلوث الهواء والمياه باستخدام الجريان السطحي وهطول الأمطار في عامي 2019 و 2020 على نطاق شهري للتحقيق في الأحداث الشاذة، والتي يمكن أن تؤثر على تحميل N إلى المناطق الساحلية. كشفت النتائج عن انخفاض كبير في تلوث الهواء والماء (انخفاض بنسبة 30-40 ٪ في انبعاثات ثاني أكسيد النيتروجين، و 45 ٪ في AOD، وانخفاض بنسبة 50 ٪ في تركيز Chl - a الساحلي، وانخفاض بنسبة 29 ٪ في التعكر) فوق جنوب آسيا. وجد أن معدل الانخفاض في انبعاثات ثاني أكسيد النيتروجين هو الأعلى في لاهور (32 ٪) ونيودلهي (31 ٪) وأحمد أباد (29 ٪) وكراتشي (26 ٪) وحيدر أباد (24 ٪) وتشيناي (17 ٪) خلال فترة الإغلاق الصارمة من أبريل إلى يونيو 2020. تشير العلاقة الإيجابية بين انبعاثات أكسيد النيتروجين وثاني أكسيد النيتروجين (0.23-0.50) إلى أن انخفاض أكسيد النيتروجين يعزى إلى انخفاض ثاني أكسيد النيتروجين. لوحظ أنه خلال الإغلاق الصارم، انخفض التعكر بنسبة 29 ٪ و 11 ٪ و 16 ٪ و 17 ٪ على طول المناطق الساحلية في كراتشي ومومباي وكلكتا ودكا، على التوالي، في حين لوحظت زيادة بنسبة 5-6 ٪ في التعكر فوق مدراس خلال نفس الفترة. وتشدد النتائج على أهمية خفض انبعاثات النيتروجين بسبب وقف استهلاك الوقود الأحفوري وعلاقاتها بانخفاض تلوث الهواء والماء. وخلص إلى أنه يمكن تحسين البيئة الجوية والمائية من خلال تنفيذ قيود ذكية على استهلاك الوقود الأحفوري بأقل تأثير على الاقتصاد الاجتماعي في المنطقة. يوصى بالقيود الذكية على استخدام الوقود الأحفوري للسيطرة على تلوث الهواء والماء حتى بعد استئناف الأنشطة الاجتماعية والاقتصادية لسيناريو العمل كالمعتاد.
Geomatics, Natural H... arrow_drop_down Geomatics, Natural Hazards & RiskArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer Luleå Tekniska UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2021 SwedenPublisher:Informa UK Limited Muhammad Shafeeque; Arfan Arshad; Ahmed Elbeltagi; Abid Sarwar; Quoc Bao Pham; Shahbaz Nasir Khan; Adil Dilawar; Nadhir Al‐Ansari;Les mesures strictes de confinement ont non seulement contribué à freiner la propagation de l'infection à COVID-19, mais ont également amélioré les conditions environnementales dans le monde entier. L'objectif principal de la présente étude était d'étudier les co-bénéfices du confinement de la COVID-19 sur l'atmosphère et le système écologique aquatique dans le cadre d'activités anthropiques restreintes en Asie du Sud. Les données de télédétection (a) des émissions de NO2 de l'instrument de surveillance de l'ozone (OMI), (b) de la profondeur optique des aérosols (AOD) du spectroradiomètre d'imagerie à résolution modérée (MODIS) et (c) de la chlorophylle (Chl-a) et des données de turbidité de MODIS-Aqua Level-3 au cours de janvier-octobre (2020) ont été analysées pour évaluer les changements dans la pollution de l'air et de l'eau par rapport aux cinq dernières années (2015–2019). Les interactions entre la pollution de l'air et de l'eau ont également été étudiées en utilisant le ruissellement terrestre et les précipitations en 2019 et 2020 à une échelle mensuelle pour enquêter sur les événements anormaux, qui pourraient affecter la charge d'azote dans les régions côtières. Les résultats ont révélé une baisse considérable de la pollution de l'air et de l'eau (réduction de 30 à 40 % des émissions de NO2, de 45 % de l'AOD, de 50 % de la concentration de chl-a sur les côtes et de 29 % de la turbidité) en Asie du Sud. Le taux de réduction des émissions de NO2 a été le plus élevé à Lahore (32 %), New Delhi (31 %), Ahmadabad (29 %), Karachi (26 %), Hyderabad (24 %) et Chennai (17 %) pendant la période de confinement strict d'avril à juin 2020. Une corrélation positive entre l'AOD et les émissions de NO2 (0,23-0,50) implique qu'une diminution de l'AOD est attribuée à une réduction du NO2. Il a été observé que pendant le confinement strict, la turbidité a diminué de 29 %, 11 %, 16 % et 17 % le long des régions côtières de Karachi, Mumbai, Calcutta et Dhaka, respectivement, tandis qu'une augmentation de 5 à 6 % de la turbidité a été observée sur les Madras au cours de la même période. Les résultats soulignent l'importance de la réduction des émissions d'azote en raison de l'arrêt de la consommation de combustibles fossiles et de leurs relations avec la réduction de la pollution de l'air et de l'eau. Il est conclu que l'environnement atmosphérique et hydrosphérique peut être amélioré en mettant en œuvre des restrictions intelligentes sur la consommation de combustibles fossiles avec un effet minimum sur la socio-économie dans la région. Des contraintes intelligentes sur l'utilisation des combustibles fossiles sont recommandées pour contrôler la pollution de l'air et de l'eau même après la reprise des activités sociales et économiques. Las estrictas medidas de confinamiento no solo contribuyeron a frenar la propagación de la infección por COVID-19, sino que también mejoraron las condiciones ambientales en todo el mundo. El objetivo principal del estudio actual fue investigar los beneficios colaterales del confinamiento por COVID-19 en la atmósfera y el sistema ecológico acuático bajo actividades antropogénicas restringidas en el sur de Asia. Los datos de teledetección (a) emisiones de NO2 del Instrumento de Monitoreo de Ozono (OMI), (b) Profundidad Óptica de Aerosol (AOD) del Espectrorradiómetro de Imágenes de Resolución Moderada (MODIS) y (c) clorofila (Chl-a) y datos de turbidez de MODIS-Aqua Nivel-3 durante enero-octubre (2020) se analizaron para evaluar los cambios en la contaminación del aire y el agua en comparación con los últimos cinco años (2015–2019). Las interacciones entre la contaminación del aire y del agua también se investigaron utilizando la escorrentía y las precipitaciones terrestres en 2019 y 2020 a escala mensual para investigar los eventos anómalos, que podrían afectar la carga de N en las regiones costeras. Los resultados revelaron una caída considerable en la contaminación del aire y el agua (reducción del 30–40% en las emisiones de NO2, 45% en AOD, disminución del 50% en la concentración costera de Chl-a y disminución del 29% en la turbidez) en el sur de Asia. La tasa de reducción de las emisiones de NO2 fue la más alta para Lahore (32%), Nueva Delhi (31%), Ahmadabad (29%), Karachi (26%), Hyderabad (24%) y Chennai (17%) durante el estricto período de confinamiento de abril a junio de 2020. Una correlación positiva entre AOD y las emisiones de NO2 (0.23-0.50) implica que una disminución en AOD se atribuye a una reducción en NO2. Se observó que durante el confinamiento estricto, la turbidez ha disminuido en un 29%, 11%, 16% y 17% a lo largo de las regiones costeras de Karachi, Mumbai, Calcuta y Dhaka, respectivamente, mientras que se observó un aumento del 5–6% en la turbidez en Madras durante el mismo período. Los hallazgos enfatizan la importancia de reducir las emisiones de N debido a la interrupción del consumo de combustibles fósiles y sus relaciones con la reducción de la contaminación del aire y el agua. Se concluye que el ambiente atmosférico e hidrosférico puede mejorarse mediante la implementación de restricciones inteligentes en el consumo de combustibles fósiles con un efecto mínimo en la socioeconómica de la región. Se recomiendan restricciones inteligentes en el uso de combustibles fósiles para controlar la contaminación del aire y del agua incluso después de que las actividades sociales y económicas reanuden el escenario habitual. The strict lockdown measures not only contributed to curbing the spread of COVID-19 infection, but also improved the environmental conditions worldwide. The main goal of the current study was to investigate the co-benefits of COVID-19 lockdown on the atmosphere and aquatic ecological system under restricted anthropogenic activities in South Asia. The remote sensing data (a) NO2 emissions from the Ozone Monitoring Instrument (OMI), (b) Aerosol Optical Depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS), and (c) chlorophyll (Chl-a) and turbidity data from MODIS-Aqua Level-3 during Jan–Oct (2020) were analyzed to assess the changes in air and water pollution compared to the last five years (2015–2019). The interactions between the air and water pollution were also investigated using overland runoff and precipitation in 2019 and 2020 at a monthly scale to investigate the anomalous events, which could affect the N loading to coastal regions. The results revealed a considerable drop in the air and water pollution (30–40% reduction in NO2 emissions, 45% in AOD, 50% decline in coastal Chl-a concentration, and 29% decline in turbidity) over South Asia. The rate of reduction in NO2 emissions was found the highest for Lahore (32%), New Delhi (31%), Ahmadabad (29%), Karachi (26%), Hyderabad (24%), and Chennai (17%) during the strict lockdown period from Apr–Jun, 2020. A positive correlation between AOD and NO2 emissions (0.23–0.50) implies that a decrease in AOD is attributed to a reduction in NO2. It was observed that during strict lockdown, the turbidity has decreased by 29%, 11%, 16%, and 17% along the coastal regions of Karachi, Mumbai, Calcutta, and Dhaka, respectively, while a 5–6% increase in turbidity was seen over the Madras during the same period. The findings stress the importance of reduced N emissions due to halted fossil fuel consumption and their relationships with the reduced air and water pollution. It is concluded that the atmospheric and hydrospheric environment can be improved by implementing smart restrictions on fossil fuel consumption with a minimum effect on socioeconomics in the region. Smart constraints on fossil fuel usage are recommended to control air and water pollution even after the social and economic activities resume business-as-usual scenario. لم تساهم إجراءات الإغلاق الصارمة في الحد من انتشار عدوى COVID -19 فحسب، بل أدت أيضًا إلى تحسين الظروف البيئية في جميع أنحاء العالم. كان الهدف الرئيسي من الدراسة الحالية هو التحقيق في الفوائد المشتركة لإغلاق COVID -19 على الغلاف الجوي والنظام البيئي المائي في ظل الأنشطة البشرية المقيدة في جنوب آسيا. تم تحليل بيانات الاستشعار عن بعد (أ) انبعاثات ثاني أكسيد النيتروجين من جهاز مراقبة الأوزون (OMI)، (ب) العمق البصري للهباء الجوي (AOD) من مقياس الطيف التصويري متوسط الدقة (MODIS)، و (ج) بيانات الكلوروفيل (Chl - a) والتعكر من MODIS - Aqua Level -3 خلال الفترة من يناير إلى أكتوبر (2020) لتقييم التغيرات في تلوث الهواء والماء مقارنة بالسنوات الخمس الماضية (2015–2019). كما تم التحقيق في التفاعلات بين تلوث الهواء والمياه باستخدام الجريان السطحي وهطول الأمطار في عامي 2019 و 2020 على نطاق شهري للتحقيق في الأحداث الشاذة، والتي يمكن أن تؤثر على تحميل N إلى المناطق الساحلية. كشفت النتائج عن انخفاض كبير في تلوث الهواء والماء (انخفاض بنسبة 30-40 ٪ في انبعاثات ثاني أكسيد النيتروجين، و 45 ٪ في AOD، وانخفاض بنسبة 50 ٪ في تركيز Chl - a الساحلي، وانخفاض بنسبة 29 ٪ في التعكر) فوق جنوب آسيا. وجد أن معدل الانخفاض في انبعاثات ثاني أكسيد النيتروجين هو الأعلى في لاهور (32 ٪) ونيودلهي (31 ٪) وأحمد أباد (29 ٪) وكراتشي (26 ٪) وحيدر أباد (24 ٪) وتشيناي (17 ٪) خلال فترة الإغلاق الصارمة من أبريل إلى يونيو 2020. تشير العلاقة الإيجابية بين انبعاثات أكسيد النيتروجين وثاني أكسيد النيتروجين (0.23-0.50) إلى أن انخفاض أكسيد النيتروجين يعزى إلى انخفاض ثاني أكسيد النيتروجين. لوحظ أنه خلال الإغلاق الصارم، انخفض التعكر بنسبة 29 ٪ و 11 ٪ و 16 ٪ و 17 ٪ على طول المناطق الساحلية في كراتشي ومومباي وكلكتا ودكا، على التوالي، في حين لوحظت زيادة بنسبة 5-6 ٪ في التعكر فوق مدراس خلال نفس الفترة. وتشدد النتائج على أهمية خفض انبعاثات النيتروجين بسبب وقف استهلاك الوقود الأحفوري وعلاقاتها بانخفاض تلوث الهواء والماء. وخلص إلى أنه يمكن تحسين البيئة الجوية والمائية من خلال تنفيذ قيود ذكية على استهلاك الوقود الأحفوري بأقل تأثير على الاقتصاد الاجتماعي في المنطقة. يوصى بالقيود الذكية على استخدام الوقود الأحفوري للسيطرة على تلوث الهواء والماء حتى بعد استئناف الأنشطة الاجتماعية والاقتصادية لسيناريو العمل كالمعتاد.
Geomatics, Natural H... arrow_drop_down Geomatics, Natural Hazards & RiskArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer Luleå Tekniska UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold Published in a Diamond OA journal 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Geomatics, Natural H... arrow_drop_down Geomatics, Natural Hazards & RiskArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer Luleå Tekniska UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Springer Science and Business Media LLC Authors: Abu Reza Md. Towfiqul Islam; Irtifa Alam Nabila; Md. Hasanuzzaman; Md. Bozlar Rahman; +5 AuthorsAbu Reza Md. Towfiqul Islam; Irtifa Alam Nabila; Md. Hasanuzzaman; Md. Bozlar Rahman; Ahmed Elbeltagi; Javed Mallick; Kuaanan Techato; Subodh Chandra Pal; Md. Mostafizur Rahman;En raison des variations climatiques évidentes et de la contribution significative à la production alimentaire nationale, le Bangladesh est une région d'examen des conséquences climatiques pour la production de riz (Oryza Sativa). Cette étude vise à explorer la variabilité des variables climatiques (par exemple, les variations de la température moyenne, des précipitations, de l'humidité relative et de la durée d'ensoleillement) avec les rendements en riz (par exemple, les variétés de riz Aus, Aman et Boro) dans le nord-ouest du Bangladesh. Le test de Mann–Kendall modifié, l'estimateur de pente de Theil–Sen et la modélisation par régression linéaire multiple (MLR) ont été utilisés pour estimer l'association entre ces facteurs. L'hétéroskédasticité et l'erreur standard constante d'autocorrélation (HAC) et la technique faisable des moindres carrés généralisés (FGLS) ont été adoptées pour mesurer le lien entre le climat et les cultures de riz à l'aide de l'ensemble de données au niveau régional pour 1976–2015. En outre, la variation spatio-temporelle des tendances du rendement du riz avec les variables climatiques a été cartographiée et évaluée par le coefficient de variation. Les résultats montrent que les tendances observées en matière de température et d'humidité ont été bénéfiques pour les rendements Aus et Aman, mais pas pour les rendements Boro. En revanche, les tendances observées en matière de précipitations et d'ensoleillement ont été négatives pour les trois saisons du riz. Les résultats du modèle MLR expliquent 67 %, 92 % et 83 % de la variabilité des rendements en riz Aus, Aman et Boro dans la région étudiée. Les résultats du modèle ont montré que l'humidité et les précipitations ont eu un impact négatif sur les cultures de riz Aus et Aman, tandis que la température et les précipitations ont une influence positive sur le rendement du riz Boro. En ce qui concerne les questions de changement climatique et la sauvegarde de la sécurité alimentaire au niveau régional, les autorités concernées devraient accorder une attention considérable à l'amélioration des variétés à haut rendement tolérantes à la chaleur et à la sécheresse contre les effets climatiques sur les variétés de riz Aus et Aman. Debido a las evidentes variaciones climáticas y a la importante contribución a la producción nacional de alimentos, Bangladesh es una región climáticamente crítica para examinar las consecuencias climáticas para la producción de cultivos de arroz (Oryza Sativa). Este estudio pretende explorar la variabilidad de las variables climáticas (por ejemplo, variaciones en la temperatura media, las precipitaciones, la humedad relativa y la duración del sol) con los rendimientos de arroz (por ejemplo, las variedades de arroz AUS, aman y Boro) en el noroeste de Bangladesh. La prueba de Mann–Kendall modificada, el estimador de pendiente de Theil–Sen y el modelado de regresión lineal múltiple (MLR) se utilizaron para estimar la asociación entre estos factores. Se adoptó la técnica de heterocedasticidad y error estándar constante de autocorrelación (hac) y mínimos cuadrados generalizados factibles (FGLS) para medir el nexo clima-arroz utilizando el conjunto de datos a nivel regional para 1976–2015. Además, se mapeó y evaluó la variación espaciotemporal de las tendencias de rendimiento del arroz con variables climáticas mediante el coeficiente de variación. Los resultados muestran que las tendencias observadas de temperatura y humedad fueron beneficiosas para los rendimientos de AUS y aman, pero no para los rendimientos de Boro. Por el contrario, las tendencias observadas de precipitaciones y sol fueron negativas para las tres temporadas de arroz. Los resultados del modelo MLR explicaron el 67%, 92% y 83% de la variabilidad en los rendimientos de arroz AUS, aman y Boro en la región de estudio. Los resultados del modelo mostraron que la humedad y las precipitaciones han afectado negativamente a los cultivos de arroz AUS y aman, mientras que la temperatura y las precipitaciones influyen positivamente en el rendimiento del arroz Boro. Con respecto a los problemas del cambio climático y la salvaguardia de la seguridad alimentaria a nivel regional, las autoridades competentes deben prestar una atención sustancial a la mejora de las variedades de alto rendimiento tolerantes al calor y la sequía frente a los efectos climáticos en las variedades de arroz AUS y aman. Because of evident climatic variations and significant contribution to national food production, Bangladesh is a climate extreme hotspot region of examination for climatic consequences for rice (Oryza Sativa) crop production. This study intends to explore the variability of climatic variables (e.g., variations in mean temperature, rainfall, relative humidity, and sunshine duration) with rice yields (e.g., Aus, Aman, and Boro rice varieties) in northwest Bangladesh. The modified Mann–Kendall test, Theil–Sen slope estimator, and multiple linear regression (MLR) modeling were used to estimate the association among these factors. Heteroskedasticity and autocorrelation constant standard error (HAC) and feasible generalized least square (FGLS) technique were adopted to measure the climate-rice crop nexus using the regional level dataset for 1976–2015. Furthermore, the spatiotemporal variation of rice yield trends with climatic variables was mapped and assessed by the coefficient of variation. The results show that observed temperature and humidity trends were beneficial for Aus and Aman yields but not Boro yields. In contrast, observed rainfall and sunshine trends were negative for all three rice seasons. The outcomes of the MLR model explained 67%, 92%, and 83% of the variability in Aus, Aman, and Boro rice yields in the study region. The model outcomes showed that humidity and rainfall have negatively affected Aus and Aman rice crops, while temperature and rainfall positively influence Boro rice yield. Regarding the climate change issues and safeguarding food safety at the regional level, the concerned authorities should provide substantial attention to improving heat and drought-tolerance high-yielding varieties against climate effects on Aus and Aman rice varieties. نظرًا للتغيرات المناخية الواضحة والمساهمة الكبيرة في الإنتاج الغذائي الوطني، تعد بنغلاديش منطقة ساخنة شديدة المناخ لفحص الآثار المناخية على إنتاج محاصيل الأرز (أوريزا ساتيفا). تهدف هذه الدراسة إلى استكشاف تقلب المتغيرات المناخية (على سبيل المثال، الاختلافات في متوسط درجة الحرارة وهطول الأمطار والرطوبة النسبية ومدة أشعة الشمس) مع غلة الأرز (على سبيل المثال، أصناف أرز أستراليا وأمان وبورو) في شمال غرب بنغلاديش. تم استخدام اختبار مان- كيندال المعدل، ومقدر ميل ثيل- سين، ونمذجة الانحدار الخطي المتعدد (MLR) لتقدير الارتباط بين هذه العوامل. تم اعتماد المرونة المتغايرة والخطأ المعياري الثابت للارتباط الذاتي (HAC) وتقنية المربعات الأقل عمومية (FGLS) لقياس العلاقة بين محاصيل المناخ والأرز باستخدام مجموعة البيانات على المستوى الإقليمي للفترة 1976–2015. علاوة على ذلك، تم تعيين وتقييم التباين المكاني والزماني لاتجاهات غلة الأرز مع المتغيرات المناخية من خلال معامل التباين. تظهر النتائج أن اتجاهات درجة الحرارة والرطوبة المرصودة كانت مفيدة لمحاصيل Aus و Aman ولكن ليس محاصيل Boro. على النقيض من ذلك، كانت اتجاهات هطول الأمطار وأشعة الشمس المرصودة سلبية لجميع مواسم الأرز الثلاثة. أوضحت نتائج نموذج MLR 67 ٪ و 92 ٪ و 83 ٪ من التباين في غلة أرز AUS و Aman و Boro في منطقة الدراسة. أظهرت نتائج النموذج أن الرطوبة وهطول الأمطار قد أثرت سلبًا على محاصيل الأرز في أستراليا وأمان، في حين أن درجة الحرارة وهطول الأمطار يؤثران بشكل إيجابي على غلة أرز بورو. فيما يتعلق بقضايا تغير المناخ وحماية سلامة الأغذية على المستوى الإقليمي، يجب على السلطات المعنية إيلاء اهتمام كبير لتحسين الأصناف عالية الغلة التي تتحمل الحرارة والجفاف ضد الآثار المناخية على أصناف أرز أستراليا وأمان.
Theoretical and Appl... arrow_drop_down Theoretical and Applied ClimatologyArticle . 2022 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Springer Science and Business Media LLC Authors: Abu Reza Md. Towfiqul Islam; Irtifa Alam Nabila; Md. Hasanuzzaman; Md. Bozlar Rahman; +5 AuthorsAbu Reza Md. Towfiqul Islam; Irtifa Alam Nabila; Md. Hasanuzzaman; Md. Bozlar Rahman; Ahmed Elbeltagi; Javed Mallick; Kuaanan Techato; Subodh Chandra Pal; Md. Mostafizur Rahman;En raison des variations climatiques évidentes et de la contribution significative à la production alimentaire nationale, le Bangladesh est une région d'examen des conséquences climatiques pour la production de riz (Oryza Sativa). Cette étude vise à explorer la variabilité des variables climatiques (par exemple, les variations de la température moyenne, des précipitations, de l'humidité relative et de la durée d'ensoleillement) avec les rendements en riz (par exemple, les variétés de riz Aus, Aman et Boro) dans le nord-ouest du Bangladesh. Le test de Mann–Kendall modifié, l'estimateur de pente de Theil–Sen et la modélisation par régression linéaire multiple (MLR) ont été utilisés pour estimer l'association entre ces facteurs. L'hétéroskédasticité et l'erreur standard constante d'autocorrélation (HAC) et la technique faisable des moindres carrés généralisés (FGLS) ont été adoptées pour mesurer le lien entre le climat et les cultures de riz à l'aide de l'ensemble de données au niveau régional pour 1976–2015. En outre, la variation spatio-temporelle des tendances du rendement du riz avec les variables climatiques a été cartographiée et évaluée par le coefficient de variation. Les résultats montrent que les tendances observées en matière de température et d'humidité ont été bénéfiques pour les rendements Aus et Aman, mais pas pour les rendements Boro. En revanche, les tendances observées en matière de précipitations et d'ensoleillement ont été négatives pour les trois saisons du riz. Les résultats du modèle MLR expliquent 67 %, 92 % et 83 % de la variabilité des rendements en riz Aus, Aman et Boro dans la région étudiée. Les résultats du modèle ont montré que l'humidité et les précipitations ont eu un impact négatif sur les cultures de riz Aus et Aman, tandis que la température et les précipitations ont une influence positive sur le rendement du riz Boro. En ce qui concerne les questions de changement climatique et la sauvegarde de la sécurité alimentaire au niveau régional, les autorités concernées devraient accorder une attention considérable à l'amélioration des variétés à haut rendement tolérantes à la chaleur et à la sécheresse contre les effets climatiques sur les variétés de riz Aus et Aman. Debido a las evidentes variaciones climáticas y a la importante contribución a la producción nacional de alimentos, Bangladesh es una región climáticamente crítica para examinar las consecuencias climáticas para la producción de cultivos de arroz (Oryza Sativa). Este estudio pretende explorar la variabilidad de las variables climáticas (por ejemplo, variaciones en la temperatura media, las precipitaciones, la humedad relativa y la duración del sol) con los rendimientos de arroz (por ejemplo, las variedades de arroz AUS, aman y Boro) en el noroeste de Bangladesh. La prueba de Mann–Kendall modificada, el estimador de pendiente de Theil–Sen y el modelado de regresión lineal múltiple (MLR) se utilizaron para estimar la asociación entre estos factores. Se adoptó la técnica de heterocedasticidad y error estándar constante de autocorrelación (hac) y mínimos cuadrados generalizados factibles (FGLS) para medir el nexo clima-arroz utilizando el conjunto de datos a nivel regional para 1976–2015. Además, se mapeó y evaluó la variación espaciotemporal de las tendencias de rendimiento del arroz con variables climáticas mediante el coeficiente de variación. Los resultados muestran que las tendencias observadas de temperatura y humedad fueron beneficiosas para los rendimientos de AUS y aman, pero no para los rendimientos de Boro. Por el contrario, las tendencias observadas de precipitaciones y sol fueron negativas para las tres temporadas de arroz. Los resultados del modelo MLR explicaron el 67%, 92% y 83% de la variabilidad en los rendimientos de arroz AUS, aman y Boro en la región de estudio. Los resultados del modelo mostraron que la humedad y las precipitaciones han afectado negativamente a los cultivos de arroz AUS y aman, mientras que la temperatura y las precipitaciones influyen positivamente en el rendimiento del arroz Boro. Con respecto a los problemas del cambio climático y la salvaguardia de la seguridad alimentaria a nivel regional, las autoridades competentes deben prestar una atención sustancial a la mejora de las variedades de alto rendimiento tolerantes al calor y la sequía frente a los efectos climáticos en las variedades de arroz AUS y aman. Because of evident climatic variations and significant contribution to national food production, Bangladesh is a climate extreme hotspot region of examination for climatic consequences for rice (Oryza Sativa) crop production. This study intends to explore the variability of climatic variables (e.g., variations in mean temperature, rainfall, relative humidity, and sunshine duration) with rice yields (e.g., Aus, Aman, and Boro rice varieties) in northwest Bangladesh. The modified Mann–Kendall test, Theil–Sen slope estimator, and multiple linear regression (MLR) modeling were used to estimate the association among these factors. Heteroskedasticity and autocorrelation constant standard error (HAC) and feasible generalized least square (FGLS) technique were adopted to measure the climate-rice crop nexus using the regional level dataset for 1976–2015. Furthermore, the spatiotemporal variation of rice yield trends with climatic variables was mapped and assessed by the coefficient of variation. The results show that observed temperature and humidity trends were beneficial for Aus and Aman yields but not Boro yields. In contrast, observed rainfall and sunshine trends were negative for all three rice seasons. The outcomes of the MLR model explained 67%, 92%, and 83% of the variability in Aus, Aman, and Boro rice yields in the study region. The model outcomes showed that humidity and rainfall have negatively affected Aus and Aman rice crops, while temperature and rainfall positively influence Boro rice yield. Regarding the climate change issues and safeguarding food safety at the regional level, the concerned authorities should provide substantial attention to improving heat and drought-tolerance high-yielding varieties against climate effects on Aus and Aman rice varieties. نظرًا للتغيرات المناخية الواضحة والمساهمة الكبيرة في الإنتاج الغذائي الوطني، تعد بنغلاديش منطقة ساخنة شديدة المناخ لفحص الآثار المناخية على إنتاج محاصيل الأرز (أوريزا ساتيفا). تهدف هذه الدراسة إلى استكشاف تقلب المتغيرات المناخية (على سبيل المثال، الاختلافات في متوسط درجة الحرارة وهطول الأمطار والرطوبة النسبية ومدة أشعة الشمس) مع غلة الأرز (على سبيل المثال، أصناف أرز أستراليا وأمان وبورو) في شمال غرب بنغلاديش. تم استخدام اختبار مان- كيندال المعدل، ومقدر ميل ثيل- سين، ونمذجة الانحدار الخطي المتعدد (MLR) لتقدير الارتباط بين هذه العوامل. تم اعتماد المرونة المتغايرة والخطأ المعياري الثابت للارتباط الذاتي (HAC) وتقنية المربعات الأقل عمومية (FGLS) لقياس العلاقة بين محاصيل المناخ والأرز باستخدام مجموعة البيانات على المستوى الإقليمي للفترة 1976–2015. علاوة على ذلك، تم تعيين وتقييم التباين المكاني والزماني لاتجاهات غلة الأرز مع المتغيرات المناخية من خلال معامل التباين. تظهر النتائج أن اتجاهات درجة الحرارة والرطوبة المرصودة كانت مفيدة لمحاصيل Aus و Aman ولكن ليس محاصيل Boro. على النقيض من ذلك، كانت اتجاهات هطول الأمطار وأشعة الشمس المرصودة سلبية لجميع مواسم الأرز الثلاثة. أوضحت نتائج نموذج MLR 67 ٪ و 92 ٪ و 83 ٪ من التباين في غلة أرز AUS و Aman و Boro في منطقة الدراسة. أظهرت نتائج النموذج أن الرطوبة وهطول الأمطار قد أثرت سلبًا على محاصيل الأرز في أستراليا وأمان، في حين أن درجة الحرارة وهطول الأمطار يؤثران بشكل إيجابي على غلة أرز بورو. فيما يتعلق بقضايا تغير المناخ وحماية سلامة الأغذية على المستوى الإقليمي، يجب على السلطات المعنية إيلاء اهتمام كبير لتحسين الأصناف عالية الغلة التي تتحمل الحرارة والجفاف ضد الآثار المناخية على أصناف أرز أستراليا وأمان.
Theoretical and Appl... arrow_drop_down Theoretical and Applied ClimatologyArticle . 2022 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Theoretical and Appl... arrow_drop_down Theoretical and Applied ClimatologyArticle . 2022 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022 SwedenPublisher:MDPI AG Rohitashw Kumar; Saika Manzoor; Dinesh Kumar Vishwakarma; Nadhir Al-Ansari; Nand Lal Kushwaha; Ahmed Elbeltagi; Kallem Sushanth; Vishnu Prasad; Alban Kuriqi;doi: 10.3390/su14031150
Under different climate change scenarios, the current study was planned to simulate runoff due to snowmelt in the Lidder River catchment in the Himalayan region. A basic degree-day model, the Snowmelt-Runoff Model (SRM), was utilized to assess the hydrological consequences of change in the climate. The performance of the SRM model during calibration and validation was assessed using volume difference (Dv) and coefficient of determination (R2). The Dv was found to be 11.7, −10.1, −11.8, 1.96, and 8.6 in 2009–2014, respectively, while the respective R2 was 0.96, 0.92, 0.95, 0.90, and 0.94. The Dv and R2 values indicate that the simulated snowmelt runoff closely agrees with the observed values. The simulated findings were assessed under three different climate change scenarios: (a) an increase in precipitation by +20%, (b) a temperature rise of +2 °C, and (c) a temperature rise of +2 °C with a 20% increase in snow cover. In scenario (b), the simulated results showed that runoff increased by 53% in summer (April–September). In contrast, the projected increased discharge for scenarios (a) and (c) was 37% and 67%, respectively. The SRM efficiently forecasts future water supplies due to snowmelt runoff in high elevation, data-scarce mountain environments.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/3/1150/pdfData sources: Multidisciplinary Digital Publishing InstitutePublikationer Luleå Tekniska UniversitetArticle . 2022 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 47 citations 47 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/3/1150/pdfData sources: Multidisciplinary Digital Publishing InstitutePublikationer Luleå Tekniska UniversitetArticle . 2022 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022 SwedenPublisher:MDPI AG Rohitashw Kumar; Saika Manzoor; Dinesh Kumar Vishwakarma; Nadhir Al-Ansari; Nand Lal Kushwaha; Ahmed Elbeltagi; Kallem Sushanth; Vishnu Prasad; Alban Kuriqi;doi: 10.3390/su14031150
Under different climate change scenarios, the current study was planned to simulate runoff due to snowmelt in the Lidder River catchment in the Himalayan region. A basic degree-day model, the Snowmelt-Runoff Model (SRM), was utilized to assess the hydrological consequences of change in the climate. The performance of the SRM model during calibration and validation was assessed using volume difference (Dv) and coefficient of determination (R2). The Dv was found to be 11.7, −10.1, −11.8, 1.96, and 8.6 in 2009–2014, respectively, while the respective R2 was 0.96, 0.92, 0.95, 0.90, and 0.94. The Dv and R2 values indicate that the simulated snowmelt runoff closely agrees with the observed values. The simulated findings were assessed under three different climate change scenarios: (a) an increase in precipitation by +20%, (b) a temperature rise of +2 °C, and (c) a temperature rise of +2 °C with a 20% increase in snow cover. In scenario (b), the simulated results showed that runoff increased by 53% in summer (April–September). In contrast, the projected increased discharge for scenarios (a) and (c) was 37% and 67%, respectively. The SRM efficiently forecasts future water supplies due to snowmelt runoff in high elevation, data-scarce mountain environments.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/3/1150/pdfData sources: Multidisciplinary Digital Publishing InstitutePublikationer Luleå Tekniska UniversitetArticle . 2022 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 47 citations 47 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/3/1150/pdfData sources: Multidisciplinary Digital Publishing InstitutePublikationer Luleå Tekniska UniversitetArticle . 2022 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2022 HungaryPublisher:Springer Science and Business Media LLC Safwan Mohammed; Karam Alsafadi; Glory O. Enaruvbe; Bashar Bashir; Ahmed Elbeltagi; Adrienn Széles; Abdullah Alsalman; Endre Harsányi;pmid: 35614172
pmc: PMC9132936
AbstractThis study examined the physical properties of agricultural drought (i.e., intensity, duration, and severity) in Hungary from 1961 to 2010 based on the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The study analyzed the interaction between drought and crop yield for maize and wheat using standardized yield residual series (SYRS), and the crop-drought resilient factor (CDRF). The results of both SPI and SPEI (-3, -6) showed that the western part of Hungary has significantly more prone to agricultural drought than the eastern part of the country. Drought frequency analysis reveals that the eastern, northern, and central parts of Hungary were the most affected regions. Drought analysis also showed that drought was particularly severe in Hungary during 1970–1973, 1990–1995, 2000–2003, and 2007. The yield of maize was more adversely affected than wheat especially in the western and southern regions of Hungary (1961–2010). In general, maize and wheat yields were severely non-resilient (CDRF < 0.8) in the central and western part of the country. The results suggest that drought events are a threat to the attainment of the second Sustainable Development Goals (SDG-2). Therefore, to ensure food security in Hungary and in other parts of the world, drought resistant crop varieties need to be developed to mitigate the adverse effects of climate change on agricultural production.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-022-12799-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 69 citations 69 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-022-12799-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 HungaryPublisher:Springer Science and Business Media LLC Safwan Mohammed; Karam Alsafadi; Glory O. Enaruvbe; Bashar Bashir; Ahmed Elbeltagi; Adrienn Széles; Abdullah Alsalman; Endre Harsányi;pmid: 35614172
pmc: PMC9132936
AbstractThis study examined the physical properties of agricultural drought (i.e., intensity, duration, and severity) in Hungary from 1961 to 2010 based on the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). The study analyzed the interaction between drought and crop yield for maize and wheat using standardized yield residual series (SYRS), and the crop-drought resilient factor (CDRF). The results of both SPI and SPEI (-3, -6) showed that the western part of Hungary has significantly more prone to agricultural drought than the eastern part of the country. Drought frequency analysis reveals that the eastern, northern, and central parts of Hungary were the most affected regions. Drought analysis also showed that drought was particularly severe in Hungary during 1970–1973, 1990–1995, 2000–2003, and 2007. The yield of maize was more adversely affected than wheat especially in the western and southern regions of Hungary (1961–2010). In general, maize and wheat yields were severely non-resilient (CDRF < 0.8) in the central and western part of the country. The results suggest that drought events are a threat to the attainment of the second Sustainable Development Goals (SDG-2). Therefore, to ensure food security in Hungary and in other parts of the world, drought resistant crop varieties need to be developed to mitigate the adverse effects of climate change on agricultural production.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-022-12799-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 69 citations 69 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41598-022-12799-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Funded by:FCT | PD/BD/114558/2016FCT| PD/BD/114558/2016Tarate Suryakant Bajirao; Pravendra Kumar; Manish Kumar; Ahmed Elbeltagi; Alban Kuriqi;doi: 10.3390/su13020542
Estimating sediment flow rate from a drainage area plays an essential role in better watershed planning and management. In this study, the validity of simple and wavelet-coupled Artificial Intelligence (AI) models was analyzed for daily Suspended Sediment (SSC) estimation of highly dynamic Koyna River basin of India. Simple AI models such as the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were developed by supplying the original time series data as an input without pre-processing through a Wavelet (W) transform. The hybrid wavelet-coupled W-ANN and W-ANFIS models were developed by supplying the decomposed time series sub-signals using Discrete Wavelet Transform (DWT). In total, three mother wavelets, namely Haar, Daubechies, and Coiflets were employed to decompose original time series data into different multi-frequency sub-signals at an appropriate decomposition level. Quantitative and qualitative performance evaluation criteria were used to select the best model for daily SSC estimation. The reliability of the developed models was also assessed using uncertainty analysis. Finally, it was revealed that the data pre-processing using wavelet transform improves the model’s predictive efficiency and reliability significantly. In this study, it was observed that the performance of the Coiflet wavelet-coupled ANFIS model is superior to other models and can be applied for daily SSC estimation of the highly dynamic rivers. As per sensitivity analysis, previous one-day SSC (St-1) is the most crucial input variable for daily SSC estimation of the Koyna River basin.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/2/542/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13020542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 33 citations 33 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/2/542/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13020542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Funded by:FCT | PD/BD/114558/2016FCT| PD/BD/114558/2016Tarate Suryakant Bajirao; Pravendra Kumar; Manish Kumar; Ahmed Elbeltagi; Alban Kuriqi;doi: 10.3390/su13020542
Estimating sediment flow rate from a drainage area plays an essential role in better watershed planning and management. In this study, the validity of simple and wavelet-coupled Artificial Intelligence (AI) models was analyzed for daily Suspended Sediment (SSC) estimation of highly dynamic Koyna River basin of India. Simple AI models such as the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were developed by supplying the original time series data as an input without pre-processing through a Wavelet (W) transform. The hybrid wavelet-coupled W-ANN and W-ANFIS models were developed by supplying the decomposed time series sub-signals using Discrete Wavelet Transform (DWT). In total, three mother wavelets, namely Haar, Daubechies, and Coiflets were employed to decompose original time series data into different multi-frequency sub-signals at an appropriate decomposition level. Quantitative and qualitative performance evaluation criteria were used to select the best model for daily SSC estimation. The reliability of the developed models was also assessed using uncertainty analysis. Finally, it was revealed that the data pre-processing using wavelet transform improves the model’s predictive efficiency and reliability significantly. In this study, it was observed that the performance of the Coiflet wavelet-coupled ANFIS model is superior to other models and can be applied for daily SSC estimation of the highly dynamic rivers. As per sensitivity analysis, previous one-day SSC (St-1) is the most crucial input variable for daily SSC estimation of the Koyna River basin.
Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/2/542/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13020542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 33 citations 33 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/2071-1050/13/2/542/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su13020542&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC Shubham Jain; Aman Srivastava; Leena Khadke; Uday Chatterjee; Ahmed Elbeltagi;pmid: 39322930
Deserts and semi-arid environments are habitats to rare species, rich cultural heritage, and essential ecological processes. Approximately 46% of the world's surface area is covered by drylands (arid, semi-arid, and dry sub-humid areas), where 3 billion people live and unfortunately witness water insecurity and desertification implications. In this context, the present study argued that reduced dryland ecosystem services and decreased ecosystem health have resulted from the individual and compounding impacts of desertification, water scarcity, and climate change. At 1.5 °C, 2 °C, and 3 °C of global warming, under the shared socio-economic pathway SSP2, the number of people living in drylands who will be affected by various effects on water, energy, and land sectors is projected to reach 951 million, 1152 million, and 1285 million, respectively. Due to combinations of land use change, rainfall variations, fire suppression, and CO2 fertilization, as well as unsustainable management, widespread woody encroachment has occurred in many shrublands and savannas in Africa, Australia, North America, and South America. This has altered biodiversity and reduces ecosystem services, such as water availability and grazing potential. The north side of the Mediterranean, southern Africa, and North and South America are projected to have the most semiarid expansion. Contrarily, drylands are expected to shrink in India, northern China, eastern equatorial Africa, and the southern Sahara. Growing research evidence highlights the adoption of policy frameworks deriving the solutions from soil land management (SLM), indigenous and local knowledge (ILK), early warning systems coupled with adaptation and mitigation responses, and targets of sustainable development goals (SDGs).
Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-024-34916-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu16 citations 16 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-024-34916-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC Shubham Jain; Aman Srivastava; Leena Khadke; Uday Chatterjee; Ahmed Elbeltagi;pmid: 39322930
Deserts and semi-arid environments are habitats to rare species, rich cultural heritage, and essential ecological processes. Approximately 46% of the world's surface area is covered by drylands (arid, semi-arid, and dry sub-humid areas), where 3 billion people live and unfortunately witness water insecurity and desertification implications. In this context, the present study argued that reduced dryland ecosystem services and decreased ecosystem health have resulted from the individual and compounding impacts of desertification, water scarcity, and climate change. At 1.5 °C, 2 °C, and 3 °C of global warming, under the shared socio-economic pathway SSP2, the number of people living in drylands who will be affected by various effects on water, energy, and land sectors is projected to reach 951 million, 1152 million, and 1285 million, respectively. Due to combinations of land use change, rainfall variations, fire suppression, and CO2 fertilization, as well as unsustainable management, widespread woody encroachment has occurred in many shrublands and savannas in Africa, Australia, North America, and South America. This has altered biodiversity and reduces ecosystem services, such as water availability and grazing potential. The north side of the Mediterranean, southern Africa, and North and South America are projected to have the most semiarid expansion. Contrarily, drylands are expected to shrink in India, northern China, eastern equatorial Africa, and the southern Sahara. Growing research evidence highlights the adoption of policy frameworks deriving the solutions from soil land management (SLM), indigenous and local knowledge (ILK), early warning systems coupled with adaptation and mitigation responses, and targets of sustainable development goals (SDGs).
Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-024-34916-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu16 citations 16 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Environmental Scienc... arrow_drop_down Environmental Science and Pollution ResearchArticle . 2024 . Peer-reviewedLicense: Springer Nature TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s11356-024-34916-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:IWA Publishing Jitendra Rajput; Nand Lal Kushwaha; Aman Srivastava; Chaitanya B. Pande; Triptimayee Suna; D.R. Sena; Deepak Singh; Arabinda Mishra; Pulak Sahoo; Ahmed Elbeltagi;ABSTRACT Accurate prediction of pan evaporation and mean temperature is crucial for effective water resources management, influencing the hydrological cycle and impacting water availability. This study focused on New Delhi's semi-arid climate, data spanning 31 years (1990–2020) were used to predict these variables using advanced algorithms such as Bagging, Random Subspace (RSS), M5P, and REPTree. The models were rigorously evaluated using 10 performance metrics, including correlation coefficient, mean absolute error (MAE), and Nash–Sutcliffe Efficiency (NSE) model coefficient. The Bagging model emerged as the best model with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90, and 22.0, respectively, during model testing phase for pan evaporation prediction. In predicting mean temperature, the Bagging model reported the best results with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90 and 22.0, respectively, during the model testing phase. These findings offer valuable insights for enhancing relative humidity prediction models in diverse climatic conditions. The Bagging model's robust performance underscores its potential application in water resource management.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2166/wpt.2024.144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2166/wpt.2024.144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2024Publisher:IWA Publishing Jitendra Rajput; Nand Lal Kushwaha; Aman Srivastava; Chaitanya B. Pande; Triptimayee Suna; D.R. Sena; Deepak Singh; Arabinda Mishra; Pulak Sahoo; Ahmed Elbeltagi;ABSTRACT Accurate prediction of pan evaporation and mean temperature is crucial for effective water resources management, influencing the hydrological cycle and impacting water availability. This study focused on New Delhi's semi-arid climate, data spanning 31 years (1990–2020) were used to predict these variables using advanced algorithms such as Bagging, Random Subspace (RSS), M5P, and REPTree. The models were rigorously evaluated using 10 performance metrics, including correlation coefficient, mean absolute error (MAE), and Nash–Sutcliffe Efficiency (NSE) model coefficient. The Bagging model emerged as the best model with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90, and 22.0, respectively, during model testing phase for pan evaporation prediction. In predicting mean temperature, the Bagging model reported the best results with performance indices values as r, MAE, RMSE, RAE, RRSE, MBE NSE, d, KGE, and MAPE as 0.86, 0.76, 1.43, 32.70, 49.44, 0.03, 0.85, 0.96, 0.90 and 22.0, respectively, during the model testing phase. These findings offer valuable insights for enhancing relative humidity prediction models in diverse climatic conditions. The Bagging model's robust performance underscores its potential application in water resource management.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2166/wpt.2024.144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2166/wpt.2024.144&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 AustraliaPublisher:Elsevier BV Ankur Srivastava; Behrouz Mehdinejadiani; Anurag Malik; Muhammad Rizwan Aslam; Ahmed Elbeltagi; Ahmed Elbeltagi; Jinsong Deng; Amandeep Singh Bhatia;Spatial-temporal information of different water resources is essential to rationally manage, sustainably develop, and optimally utilize water. This study focused on simulating future water footprint (WF) of two agronomically important crops (i.e., wheat and maize) using deep neural networks (DNN) method in Nile delta. DNN model was calibrated and validated by using 2006-2014 and 2015-2017 datasets. Moreover, future data (2022-2040) were obtained from three Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5, and incorporated into DNN prediction set. The findings showed that determination-coefficient between historical-predicted crop evapotranspiration (ETc) varied from 0.92 to 0.97 for two crops. The yield prediction values of wheat-maize deviated within the ranges of -3.21% to 3.47% and -4.93% to 5.88%, respectively. Based on the ensemble of RCP, precipitation was forecasted to decease by 667.40% and 261.73% in winter and summer in western as compared to eastern, respectively, which will ultimately be dropped to 105.02% and 60.87%, respectively parallel to historical. Therefore, the substantial fluctuations in precipitation caused an obvious decrease in green WF of wheat (i.e., 24.96% and 37.44%) in western and eastern, respectively. Additionally, for maize, it induced a 103.93% decrease in western and an 8.96% increase in eastern. Furthermore, increasing ETc by 8.46% and 12.45% gave rise to substantially increasing (i.e., 8.96% and 17.21%) in western for wheat-maize compared to the east, respectively. Likewise, grey wheat-maize WF findings reveals that there was an increase of 3.07% and 5.02% in western as compared to -14.51% and 12.37% in eastern. Hence, our results highly recommend the optimal use of the eastern delta to save blue-water by 16.58% and 40.25% of total requirements for wheat-maize in contrast to others. Overall, the current research framework and results derived from the adopted methodology will help in optimal planning of future water under climate change in the agricultural sector.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2020.140770&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 AustraliaPublisher:Elsevier BV Ankur Srivastava; Behrouz Mehdinejadiani; Anurag Malik; Muhammad Rizwan Aslam; Ahmed Elbeltagi; Ahmed Elbeltagi; Jinsong Deng; Amandeep Singh Bhatia;Spatial-temporal information of different water resources is essential to rationally manage, sustainably develop, and optimally utilize water. This study focused on simulating future water footprint (WF) of two agronomically important crops (i.e., wheat and maize) using deep neural networks (DNN) method in Nile delta. DNN model was calibrated and validated by using 2006-2014 and 2015-2017 datasets. Moreover, future data (2022-2040) were obtained from three Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5, and incorporated into DNN prediction set. The findings showed that determination-coefficient between historical-predicted crop evapotranspiration (ETc) varied from 0.92 to 0.97 for two crops. The yield prediction values of wheat-maize deviated within the ranges of -3.21% to 3.47% and -4.93% to 5.88%, respectively. Based on the ensemble of RCP, precipitation was forecasted to decease by 667.40% and 261.73% in winter and summer in western as compared to eastern, respectively, which will ultimately be dropped to 105.02% and 60.87%, respectively parallel to historical. Therefore, the substantial fluctuations in precipitation caused an obvious decrease in green WF of wheat (i.e., 24.96% and 37.44%) in western and eastern, respectively. Additionally, for maize, it induced a 103.93% decrease in western and an 8.96% increase in eastern. Furthermore, increasing ETc by 8.46% and 12.45% gave rise to substantially increasing (i.e., 8.96% and 17.21%) in western for wheat-maize compared to the east, respectively. Likewise, grey wheat-maize WF findings reveals that there was an increase of 3.07% and 5.02% in western as compared to -14.51% and 12.37% in eastern. Hence, our results highly recommend the optimal use of the eastern delta to save blue-water by 16.58% and 40.25% of total requirements for wheat-maize in contrast to others. Overall, the current research framework and results derived from the adopted methodology will help in optimal planning of future water under climate change in the agricultural sector.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2020 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2020.140770&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Authors: Mohamed Galal Eltarabily; Ismail Abd-Elaty; Ahmed Elbeltagi; Martina Zeleňáková; +1 AuthorsMohamed Galal Eltarabily; Ismail Abd-Elaty; Ahmed Elbeltagi; Martina Zeleňáková; Ismail Fathy;doi: 10.3390/w15030572
Climate change (CC) directly affects crops’ growth stages or level of maturity, solar radiation, humidity, temperature, and wind speed, and thus crop evapotranspiration (ETc). Increased crop ETc shifts the fraction of discharge from groundwater aquifers, while long-term shifts in discharge can change the groundwater level and, subsequently, aquifer storage. The long-term effect of CC on the groundwater flow under different values of ETc was assessed for the Nile Delta aquifer (NDA) in Egypt. To quantify such impacts, numerical modeling using MODFLOW was set up to simulate the groundwater flow and differences in groundwater levels in the long term in the years 2030, 2050, and 2070. The model was initially calibrated against the hydraulic conductivity of the aquifer layers of the groundwater levels in the year 2008 from 60 observation wells throughout the study area. Then, it was validated with the current groundwater levels using an independent set of data (23 points), obtaining a very good agreement between the calculated and observed heads. The results showed that the combination of solar radiation, vapor pressure deficit, and humidity (H) are the best variables for predicting ETc in Nile Delta zones (north, middle, and south). ETc among the whole Nile Delta will increase by 11.2, 15.0, and 19.0% for the years 2030, 2050, and 2070, respectively. Zone budget analysis revealed that the increase of ETc will decrease the inflow and the groundwater head difference (GWHD). Recharge of the aquifer will be decreased by 19.74, 27.16, and 36.84% in 2030, 2050, and 2070, respectively. The GWHD will record 0.95 m, 1.05 m, and 1.40 m in 2030, 2050, and 2070, respectively when considering the increase of ETc. This reduction will lead to a slight decline in the storage of the Nile Delta groundwater aquifer. Our findings support the decision of the designers and the policymakers to guarantee a long-term sustainable management plan of the groundwater for the NDA and deltas with similar climate conditions.
Water arrow_drop_down WaterOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2073-4441/15/3/572/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/w15030572&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Water arrow_drop_down WaterOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2073-4441/15/3/572/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/w15030572&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Authors: Mohamed Galal Eltarabily; Ismail Abd-Elaty; Ahmed Elbeltagi; Martina Zeleňáková; +1 AuthorsMohamed Galal Eltarabily; Ismail Abd-Elaty; Ahmed Elbeltagi; Martina Zeleňáková; Ismail Fathy;doi: 10.3390/w15030572
Climate change (CC) directly affects crops’ growth stages or level of maturity, solar radiation, humidity, temperature, and wind speed, and thus crop evapotranspiration (ETc). Increased crop ETc shifts the fraction of discharge from groundwater aquifers, while long-term shifts in discharge can change the groundwater level and, subsequently, aquifer storage. The long-term effect of CC on the groundwater flow under different values of ETc was assessed for the Nile Delta aquifer (NDA) in Egypt. To quantify such impacts, numerical modeling using MODFLOW was set up to simulate the groundwater flow and differences in groundwater levels in the long term in the years 2030, 2050, and 2070. The model was initially calibrated against the hydraulic conductivity of the aquifer layers of the groundwater levels in the year 2008 from 60 observation wells throughout the study area. Then, it was validated with the current groundwater levels using an independent set of data (23 points), obtaining a very good agreement between the calculated and observed heads. The results showed that the combination of solar radiation, vapor pressure deficit, and humidity (H) are the best variables for predicting ETc in Nile Delta zones (north, middle, and south). ETc among the whole Nile Delta will increase by 11.2, 15.0, and 19.0% for the years 2030, 2050, and 2070, respectively. Zone budget analysis revealed that the increase of ETc will decrease the inflow and the groundwater head difference (GWHD). Recharge of the aquifer will be decreased by 19.74, 27.16, and 36.84% in 2030, 2050, and 2070, respectively. The GWHD will record 0.95 m, 1.05 m, and 1.40 m in 2030, 2050, and 2070, respectively when considering the increase of ETc. This reduction will lead to a slight decline in the storage of the Nile Delta groundwater aquifer. Our findings support the decision of the designers and the policymakers to guarantee a long-term sustainable management plan of the groundwater for the NDA and deltas with similar climate conditions.
Water arrow_drop_down WaterOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2073-4441/15/3/572/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/w15030572&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Water arrow_drop_down WaterOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2073-4441/15/3/572/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/w15030572&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Zhixin Zhao; Aidi Huo; Qi Liu; Jianbing Peng; Ahmed Elbeltagi; Mohamed EL-Sayed Abuarab; Mohamed Said Desouky Abu-Hashim;doi: 10.3390/su151410785
Studying the relationship between human activities and soil erosion on a regional scale is of great significance for macro-decision-making in soil erosion prevention and control. The entropy weight method and RUSLE model are used to analyze the spatiotemporal variation in human activity intensity (HAI) and soil erosion in the Weihe River Basin (WRB) from 2005 to 2020. Through geographic detectors and a four-quadrant model, the impact of various driving factors and the coupling degree of the human–land relationship are studied. The results showed: (1) During the past 15 years, the moderate, high, strong, and severe erosion areas in the WRB decreased by 9.88%, 35.89%, 45.17%, and 70.05%, respectively. The ratio of the historical sand transport modulus to the RUSLE model result is 0.83, indicating that the results obtained by the RUSLE model can be used for further analysis. (2) Slight and weak degrees account for 80% in the northwest region. The high and strong regions are mainly distributed in the Shaanxi section, accounting for 3% of the total basin. (3) The coupling between human activities and soil erosion is constantly strengthening, and the joint effect of pop and crop is the main reason for the slowdown and spatial differences in soil erosion. This indicates that the ecological environment became stable. These findings contribute by acting as references for soil and water conservation and management in the WRB to promote a harmonious relationship between humans and the environment.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151410785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151410785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Zhixin Zhao; Aidi Huo; Qi Liu; Jianbing Peng; Ahmed Elbeltagi; Mohamed EL-Sayed Abuarab; Mohamed Said Desouky Abu-Hashim;doi: 10.3390/su151410785
Studying the relationship between human activities and soil erosion on a regional scale is of great significance for macro-decision-making in soil erosion prevention and control. The entropy weight method and RUSLE model are used to analyze the spatiotemporal variation in human activity intensity (HAI) and soil erosion in the Weihe River Basin (WRB) from 2005 to 2020. Through geographic detectors and a four-quadrant model, the impact of various driving factors and the coupling degree of the human–land relationship are studied. The results showed: (1) During the past 15 years, the moderate, high, strong, and severe erosion areas in the WRB decreased by 9.88%, 35.89%, 45.17%, and 70.05%, respectively. The ratio of the historical sand transport modulus to the RUSLE model result is 0.83, indicating that the results obtained by the RUSLE model can be used for further analysis. (2) Slight and weak degrees account for 80% in the northwest region. The high and strong regions are mainly distributed in the Shaanxi section, accounting for 3% of the total basin. (3) The coupling between human activities and soil erosion is constantly strengthening, and the joint effect of pop and crop is the main reason for the slowdown and spatial differences in soil erosion. This indicates that the ecological environment became stable. These findings contribute by acting as references for soil and water conservation and management in the WRB to promote a harmonious relationship between humans and the environment.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151410785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su151410785&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2021 SwedenPublisher:Informa UK Limited Muhammad Shafeeque; Arfan Arshad; Ahmed Elbeltagi; Abid Sarwar; Quoc Bao Pham; Shahbaz Nasir Khan; Adil Dilawar; Nadhir Al‐Ansari;Les mesures strictes de confinement ont non seulement contribué à freiner la propagation de l'infection à COVID-19, mais ont également amélioré les conditions environnementales dans le monde entier. L'objectif principal de la présente étude était d'étudier les co-bénéfices du confinement de la COVID-19 sur l'atmosphère et le système écologique aquatique dans le cadre d'activités anthropiques restreintes en Asie du Sud. Les données de télédétection (a) des émissions de NO2 de l'instrument de surveillance de l'ozone (OMI), (b) de la profondeur optique des aérosols (AOD) du spectroradiomètre d'imagerie à résolution modérée (MODIS) et (c) de la chlorophylle (Chl-a) et des données de turbidité de MODIS-Aqua Level-3 au cours de janvier-octobre (2020) ont été analysées pour évaluer les changements dans la pollution de l'air et de l'eau par rapport aux cinq dernières années (2015–2019). Les interactions entre la pollution de l'air et de l'eau ont également été étudiées en utilisant le ruissellement terrestre et les précipitations en 2019 et 2020 à une échelle mensuelle pour enquêter sur les événements anormaux, qui pourraient affecter la charge d'azote dans les régions côtières. Les résultats ont révélé une baisse considérable de la pollution de l'air et de l'eau (réduction de 30 à 40 % des émissions de NO2, de 45 % de l'AOD, de 50 % de la concentration de chl-a sur les côtes et de 29 % de la turbidité) en Asie du Sud. Le taux de réduction des émissions de NO2 a été le plus élevé à Lahore (32 %), New Delhi (31 %), Ahmadabad (29 %), Karachi (26 %), Hyderabad (24 %) et Chennai (17 %) pendant la période de confinement strict d'avril à juin 2020. Une corrélation positive entre l'AOD et les émissions de NO2 (0,23-0,50) implique qu'une diminution de l'AOD est attribuée à une réduction du NO2. Il a été observé que pendant le confinement strict, la turbidité a diminué de 29 %, 11 %, 16 % et 17 % le long des régions côtières de Karachi, Mumbai, Calcutta et Dhaka, respectivement, tandis qu'une augmentation de 5 à 6 % de la turbidité a été observée sur les Madras au cours de la même période. Les résultats soulignent l'importance de la réduction des émissions d'azote en raison de l'arrêt de la consommation de combustibles fossiles et de leurs relations avec la réduction de la pollution de l'air et de l'eau. Il est conclu que l'environnement atmosphérique et hydrosphérique peut être amélioré en mettant en œuvre des restrictions intelligentes sur la consommation de combustibles fossiles avec un effet minimum sur la socio-économie dans la région. Des contraintes intelligentes sur l'utilisation des combustibles fossiles sont recommandées pour contrôler la pollution de l'air et de l'eau même après la reprise des activités sociales et économiques. Las estrictas medidas de confinamiento no solo contribuyeron a frenar la propagación de la infección por COVID-19, sino que también mejoraron las condiciones ambientales en todo el mundo. El objetivo principal del estudio actual fue investigar los beneficios colaterales del confinamiento por COVID-19 en la atmósfera y el sistema ecológico acuático bajo actividades antropogénicas restringidas en el sur de Asia. Los datos de teledetección (a) emisiones de NO2 del Instrumento de Monitoreo de Ozono (OMI), (b) Profundidad Óptica de Aerosol (AOD) del Espectrorradiómetro de Imágenes de Resolución Moderada (MODIS) y (c) clorofila (Chl-a) y datos de turbidez de MODIS-Aqua Nivel-3 durante enero-octubre (2020) se analizaron para evaluar los cambios en la contaminación del aire y el agua en comparación con los últimos cinco años (2015–2019). Las interacciones entre la contaminación del aire y del agua también se investigaron utilizando la escorrentía y las precipitaciones terrestres en 2019 y 2020 a escala mensual para investigar los eventos anómalos, que podrían afectar la carga de N en las regiones costeras. Los resultados revelaron una caída considerable en la contaminación del aire y el agua (reducción del 30–40% en las emisiones de NO2, 45% en AOD, disminución del 50% en la concentración costera de Chl-a y disminución del 29% en la turbidez) en el sur de Asia. La tasa de reducción de las emisiones de NO2 fue la más alta para Lahore (32%), Nueva Delhi (31%), Ahmadabad (29%), Karachi (26%), Hyderabad (24%) y Chennai (17%) durante el estricto período de confinamiento de abril a junio de 2020. Una correlación positiva entre AOD y las emisiones de NO2 (0.23-0.50) implica que una disminución en AOD se atribuye a una reducción en NO2. Se observó que durante el confinamiento estricto, la turbidez ha disminuido en un 29%, 11%, 16% y 17% a lo largo de las regiones costeras de Karachi, Mumbai, Calcuta y Dhaka, respectivamente, mientras que se observó un aumento del 5–6% en la turbidez en Madras durante el mismo período. Los hallazgos enfatizan la importancia de reducir las emisiones de N debido a la interrupción del consumo de combustibles fósiles y sus relaciones con la reducción de la contaminación del aire y el agua. Se concluye que el ambiente atmosférico e hidrosférico puede mejorarse mediante la implementación de restricciones inteligentes en el consumo de combustibles fósiles con un efecto mínimo en la socioeconómica de la región. Se recomiendan restricciones inteligentes en el uso de combustibles fósiles para controlar la contaminación del aire y del agua incluso después de que las actividades sociales y económicas reanuden el escenario habitual. The strict lockdown measures not only contributed to curbing the spread of COVID-19 infection, but also improved the environmental conditions worldwide. The main goal of the current study was to investigate the co-benefits of COVID-19 lockdown on the atmosphere and aquatic ecological system under restricted anthropogenic activities in South Asia. The remote sensing data (a) NO2 emissions from the Ozone Monitoring Instrument (OMI), (b) Aerosol Optical Depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS), and (c) chlorophyll (Chl-a) and turbidity data from MODIS-Aqua Level-3 during Jan–Oct (2020) were analyzed to assess the changes in air and water pollution compared to the last five years (2015–2019). The interactions between the air and water pollution were also investigated using overland runoff and precipitation in 2019 and 2020 at a monthly scale to investigate the anomalous events, which could affect the N loading to coastal regions. The results revealed a considerable drop in the air and water pollution (30–40% reduction in NO2 emissions, 45% in AOD, 50% decline in coastal Chl-a concentration, and 29% decline in turbidity) over South Asia. The rate of reduction in NO2 emissions was found the highest for Lahore (32%), New Delhi (31%), Ahmadabad (29%), Karachi (26%), Hyderabad (24%), and Chennai (17%) during the strict lockdown period from Apr–Jun, 2020. A positive correlation between AOD and NO2 emissions (0.23–0.50) implies that a decrease in AOD is attributed to a reduction in NO2. It was observed that during strict lockdown, the turbidity has decreased by 29%, 11%, 16%, and 17% along the coastal regions of Karachi, Mumbai, Calcutta, and Dhaka, respectively, while a 5–6% increase in turbidity was seen over the Madras during the same period. The findings stress the importance of reduced N emissions due to halted fossil fuel consumption and their relationships with the reduced air and water pollution. It is concluded that the atmospheric and hydrospheric environment can be improved by implementing smart restrictions on fossil fuel consumption with a minimum effect on socioeconomics in the region. Smart constraints on fossil fuel usage are recommended to control air and water pollution even after the social and economic activities resume business-as-usual scenario. لم تساهم إجراءات الإغلاق الصارمة في الحد من انتشار عدوى COVID -19 فحسب، بل أدت أيضًا إلى تحسين الظروف البيئية في جميع أنحاء العالم. كان الهدف الرئيسي من الدراسة الحالية هو التحقيق في الفوائد المشتركة لإغلاق COVID -19 على الغلاف الجوي والنظام البيئي المائي في ظل الأنشطة البشرية المقيدة في جنوب آسيا. تم تحليل بيانات الاستشعار عن بعد (أ) انبعاثات ثاني أكسيد النيتروجين من جهاز مراقبة الأوزون (OMI)، (ب) العمق البصري للهباء الجوي (AOD) من مقياس الطيف التصويري متوسط الدقة (MODIS)، و (ج) بيانات الكلوروفيل (Chl - a) والتعكر من MODIS - Aqua Level -3 خلال الفترة من يناير إلى أكتوبر (2020) لتقييم التغيرات في تلوث الهواء والماء مقارنة بالسنوات الخمس الماضية (2015–2019). كما تم التحقيق في التفاعلات بين تلوث الهواء والمياه باستخدام الجريان السطحي وهطول الأمطار في عامي 2019 و 2020 على نطاق شهري للتحقيق في الأحداث الشاذة، والتي يمكن أن تؤثر على تحميل N إلى المناطق الساحلية. كشفت النتائج عن انخفاض كبير في تلوث الهواء والماء (انخفاض بنسبة 30-40 ٪ في انبعاثات ثاني أكسيد النيتروجين، و 45 ٪ في AOD، وانخفاض بنسبة 50 ٪ في تركيز Chl - a الساحلي، وانخفاض بنسبة 29 ٪ في التعكر) فوق جنوب آسيا. وجد أن معدل الانخفاض في انبعاثات ثاني أكسيد النيتروجين هو الأعلى في لاهور (32 ٪) ونيودلهي (31 ٪) وأحمد أباد (29 ٪) وكراتشي (26 ٪) وحيدر أباد (24 ٪) وتشيناي (17 ٪) خلال فترة الإغلاق الصارمة من أبريل إلى يونيو 2020. تشير العلاقة الإيجابية بين انبعاثات أكسيد النيتروجين وثاني أكسيد النيتروجين (0.23-0.50) إلى أن انخفاض أكسيد النيتروجين يعزى إلى انخفاض ثاني أكسيد النيتروجين. لوحظ أنه خلال الإغلاق الصارم، انخفض التعكر بنسبة 29 ٪ و 11 ٪ و 16 ٪ و 17 ٪ على طول المناطق الساحلية في كراتشي ومومباي وكلكتا ودكا، على التوالي، في حين لوحظت زيادة بنسبة 5-6 ٪ في التعكر فوق مدراس خلال نفس الفترة. وتشدد النتائج على أهمية خفض انبعاثات النيتروجين بسبب وقف استهلاك الوقود الأحفوري وعلاقاتها بانخفاض تلوث الهواء والماء. وخلص إلى أنه يمكن تحسين البيئة الجوية والمائية من خلال تنفيذ قيود ذكية على استهلاك الوقود الأحفوري بأقل تأثير على الاقتصاد الاجتماعي في المنطقة. يوصى بالقيود الذكية على استخدام الوقود الأحفوري للسيطرة على تلوث الهواء والماء حتى بعد استئناف الأنشطة الاجتماعية والاقتصادية لسيناريو العمل كالمعتاد.
Geomatics, Natural H... arrow_drop_down Geomatics, Natural Hazards & RiskArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer Luleå Tekniska UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 2021 SwedenPublisher:Informa UK Limited Muhammad Shafeeque; Arfan Arshad; Ahmed Elbeltagi; Abid Sarwar; Quoc Bao Pham; Shahbaz Nasir Khan; Adil Dilawar; Nadhir Al‐Ansari;Les mesures strictes de confinement ont non seulement contribué à freiner la propagation de l'infection à COVID-19, mais ont également amélioré les conditions environnementales dans le monde entier. L'objectif principal de la présente étude était d'étudier les co-bénéfices du confinement de la COVID-19 sur l'atmosphère et le système écologique aquatique dans le cadre d'activités anthropiques restreintes en Asie du Sud. Les données de télédétection (a) des émissions de NO2 de l'instrument de surveillance de l'ozone (OMI), (b) de la profondeur optique des aérosols (AOD) du spectroradiomètre d'imagerie à résolution modérée (MODIS) et (c) de la chlorophylle (Chl-a) et des données de turbidité de MODIS-Aqua Level-3 au cours de janvier-octobre (2020) ont été analysées pour évaluer les changements dans la pollution de l'air et de l'eau par rapport aux cinq dernières années (2015–2019). Les interactions entre la pollution de l'air et de l'eau ont également été étudiées en utilisant le ruissellement terrestre et les précipitations en 2019 et 2020 à une échelle mensuelle pour enquêter sur les événements anormaux, qui pourraient affecter la charge d'azote dans les régions côtières. Les résultats ont révélé une baisse considérable de la pollution de l'air et de l'eau (réduction de 30 à 40 % des émissions de NO2, de 45 % de l'AOD, de 50 % de la concentration de chl-a sur les côtes et de 29 % de la turbidité) en Asie du Sud. Le taux de réduction des émissions de NO2 a été le plus élevé à Lahore (32 %), New Delhi (31 %), Ahmadabad (29 %), Karachi (26 %), Hyderabad (24 %) et Chennai (17 %) pendant la période de confinement strict d'avril à juin 2020. Une corrélation positive entre l'AOD et les émissions de NO2 (0,23-0,50) implique qu'une diminution de l'AOD est attribuée à une réduction du NO2. Il a été observé que pendant le confinement strict, la turbidité a diminué de 29 %, 11 %, 16 % et 17 % le long des régions côtières de Karachi, Mumbai, Calcutta et Dhaka, respectivement, tandis qu'une augmentation de 5 à 6 % de la turbidité a été observée sur les Madras au cours de la même période. Les résultats soulignent l'importance de la réduction des émissions d'azote en raison de l'arrêt de la consommation de combustibles fossiles et de leurs relations avec la réduction de la pollution de l'air et de l'eau. Il est conclu que l'environnement atmosphérique et hydrosphérique peut être amélioré en mettant en œuvre des restrictions intelligentes sur la consommation de combustibles fossiles avec un effet minimum sur la socio-économie dans la région. Des contraintes intelligentes sur l'utilisation des combustibles fossiles sont recommandées pour contrôler la pollution de l'air et de l'eau même après la reprise des activités sociales et économiques. Las estrictas medidas de confinamiento no solo contribuyeron a frenar la propagación de la infección por COVID-19, sino que también mejoraron las condiciones ambientales en todo el mundo. El objetivo principal del estudio actual fue investigar los beneficios colaterales del confinamiento por COVID-19 en la atmósfera y el sistema ecológico acuático bajo actividades antropogénicas restringidas en el sur de Asia. Los datos de teledetección (a) emisiones de NO2 del Instrumento de Monitoreo de Ozono (OMI), (b) Profundidad Óptica de Aerosol (AOD) del Espectrorradiómetro de Imágenes de Resolución Moderada (MODIS) y (c) clorofila (Chl-a) y datos de turbidez de MODIS-Aqua Nivel-3 durante enero-octubre (2020) se analizaron para evaluar los cambios en la contaminación del aire y el agua en comparación con los últimos cinco años (2015–2019). Las interacciones entre la contaminación del aire y del agua también se investigaron utilizando la escorrentía y las precipitaciones terrestres en 2019 y 2020 a escala mensual para investigar los eventos anómalos, que podrían afectar la carga de N en las regiones costeras. Los resultados revelaron una caída considerable en la contaminación del aire y el agua (reducción del 30–40% en las emisiones de NO2, 45% en AOD, disminución del 50% en la concentración costera de Chl-a y disminución del 29% en la turbidez) en el sur de Asia. La tasa de reducción de las emisiones de NO2 fue la más alta para Lahore (32%), Nueva Delhi (31%), Ahmadabad (29%), Karachi (26%), Hyderabad (24%) y Chennai (17%) durante el estricto período de confinamiento de abril a junio de 2020. Una correlación positiva entre AOD y las emisiones de NO2 (0.23-0.50) implica que una disminución en AOD se atribuye a una reducción en NO2. Se observó que durante el confinamiento estricto, la turbidez ha disminuido en un 29%, 11%, 16% y 17% a lo largo de las regiones costeras de Karachi, Mumbai, Calcuta y Dhaka, respectivamente, mientras que se observó un aumento del 5–6% en la turbidez en Madras durante el mismo período. Los hallazgos enfatizan la importancia de reducir las emisiones de N debido a la interrupción del consumo de combustibles fósiles y sus relaciones con la reducción de la contaminación del aire y el agua. Se concluye que el ambiente atmosférico e hidrosférico puede mejorarse mediante la implementación de restricciones inteligentes en el consumo de combustibles fósiles con un efecto mínimo en la socioeconómica de la región. Se recomiendan restricciones inteligentes en el uso de combustibles fósiles para controlar la contaminación del aire y del agua incluso después de que las actividades sociales y económicas reanuden el escenario habitual. The strict lockdown measures not only contributed to curbing the spread of COVID-19 infection, but also improved the environmental conditions worldwide. The main goal of the current study was to investigate the co-benefits of COVID-19 lockdown on the atmosphere and aquatic ecological system under restricted anthropogenic activities in South Asia. The remote sensing data (a) NO2 emissions from the Ozone Monitoring Instrument (OMI), (b) Aerosol Optical Depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS), and (c) chlorophyll (Chl-a) and turbidity data from MODIS-Aqua Level-3 during Jan–Oct (2020) were analyzed to assess the changes in air and water pollution compared to the last five years (2015–2019). The interactions between the air and water pollution were also investigated using overland runoff and precipitation in 2019 and 2020 at a monthly scale to investigate the anomalous events, which could affect the N loading to coastal regions. The results revealed a considerable drop in the air and water pollution (30–40% reduction in NO2 emissions, 45% in AOD, 50% decline in coastal Chl-a concentration, and 29% decline in turbidity) over South Asia. The rate of reduction in NO2 emissions was found the highest for Lahore (32%), New Delhi (31%), Ahmadabad (29%), Karachi (26%), Hyderabad (24%), and Chennai (17%) during the strict lockdown period from Apr–Jun, 2020. A positive correlation between AOD and NO2 emissions (0.23–0.50) implies that a decrease in AOD is attributed to a reduction in NO2. It was observed that during strict lockdown, the turbidity has decreased by 29%, 11%, 16%, and 17% along the coastal regions of Karachi, Mumbai, Calcutta, and Dhaka, respectively, while a 5–6% increase in turbidity was seen over the Madras during the same period. The findings stress the importance of reduced N emissions due to halted fossil fuel consumption and their relationships with the reduced air and water pollution. It is concluded that the atmospheric and hydrospheric environment can be improved by implementing smart restrictions on fossil fuel consumption with a minimum effect on socioeconomics in the region. Smart constraints on fossil fuel usage are recommended to control air and water pollution even after the social and economic activities resume business-as-usual scenario. لم تساهم إجراءات الإغلاق الصارمة في الحد من انتشار عدوى COVID -19 فحسب، بل أدت أيضًا إلى تحسين الظروف البيئية في جميع أنحاء العالم. كان الهدف الرئيسي من الدراسة الحالية هو التحقيق في الفوائد المشتركة لإغلاق COVID -19 على الغلاف الجوي والنظام البيئي المائي في ظل الأنشطة البشرية المقيدة في جنوب آسيا. تم تحليل بيانات الاستشعار عن بعد (أ) انبعاثات ثاني أكسيد النيتروجين من جهاز مراقبة الأوزون (OMI)، (ب) العمق البصري للهباء الجوي (AOD) من مقياس الطيف التصويري متوسط الدقة (MODIS)، و (ج) بيانات الكلوروفيل (Chl - a) والتعكر من MODIS - Aqua Level -3 خلال الفترة من يناير إلى أكتوبر (2020) لتقييم التغيرات في تلوث الهواء والماء مقارنة بالسنوات الخمس الماضية (2015–2019). كما تم التحقيق في التفاعلات بين تلوث الهواء والمياه باستخدام الجريان السطحي وهطول الأمطار في عامي 2019 و 2020 على نطاق شهري للتحقيق في الأحداث الشاذة، والتي يمكن أن تؤثر على تحميل N إلى المناطق الساحلية. كشفت النتائج عن انخفاض كبير في تلوث الهواء والماء (انخفاض بنسبة 30-40 ٪ في انبعاثات ثاني أكسيد النيتروجين، و 45 ٪ في AOD، وانخفاض بنسبة 50 ٪ في تركيز Chl - a الساحلي، وانخفاض بنسبة 29 ٪ في التعكر) فوق جنوب آسيا. وجد أن معدل الانخفاض في انبعاثات ثاني أكسيد النيتروجين هو الأعلى في لاهور (32 ٪) ونيودلهي (31 ٪) وأحمد أباد (29 ٪) وكراتشي (26 ٪) وحيدر أباد (24 ٪) وتشيناي (17 ٪) خلال فترة الإغلاق الصارمة من أبريل إلى يونيو 2020. تشير العلاقة الإيجابية بين انبعاثات أكسيد النيتروجين وثاني أكسيد النيتروجين (0.23-0.50) إلى أن انخفاض أكسيد النيتروجين يعزى إلى انخفاض ثاني أكسيد النيتروجين. لوحظ أنه خلال الإغلاق الصارم، انخفض التعكر بنسبة 29 ٪ و 11 ٪ و 16 ٪ و 17 ٪ على طول المناطق الساحلية في كراتشي ومومباي وكلكتا ودكا، على التوالي، في حين لوحظت زيادة بنسبة 5-6 ٪ في التعكر فوق مدراس خلال نفس الفترة. وتشدد النتائج على أهمية خفض انبعاثات النيتروجين بسبب وقف استهلاك الوقود الأحفوري وعلاقاتها بانخفاض تلوث الهواء والماء. وخلص إلى أنه يمكن تحسين البيئة الجوية والمائية من خلال تنفيذ قيود ذكية على استهلاك الوقود الأحفوري بأقل تأثير على الاقتصاد الاجتماعي في المنطقة. يوصى بالقيود الذكية على استخدام الوقود الأحفوري للسيطرة على تلوث الهواء والماء حتى بعد استئناف الأنشطة الاجتماعية والاقتصادية لسيناريو العمل كالمعتاد.
Geomatics, Natural H... arrow_drop_down Geomatics, Natural Hazards & RiskArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer Luleå Tekniska UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold Published in a Diamond OA journal 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Geomatics, Natural H... arrow_drop_down Geomatics, Natural Hazards & RiskArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefPublikationer Luleå Tekniska UniversitetArticle . 2021 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Springer Science and Business Media LLC Authors: Abu Reza Md. Towfiqul Islam; Irtifa Alam Nabila; Md. Hasanuzzaman; Md. Bozlar Rahman; +5 AuthorsAbu Reza Md. Towfiqul Islam; Irtifa Alam Nabila; Md. Hasanuzzaman; Md. Bozlar Rahman; Ahmed Elbeltagi; Javed Mallick; Kuaanan Techato; Subodh Chandra Pal; Md. Mostafizur Rahman;En raison des variations climatiques évidentes et de la contribution significative à la production alimentaire nationale, le Bangladesh est une région d'examen des conséquences climatiques pour la production de riz (Oryza Sativa). Cette étude vise à explorer la variabilité des variables climatiques (par exemple, les variations de la température moyenne, des précipitations, de l'humidité relative et de la durée d'ensoleillement) avec les rendements en riz (par exemple, les variétés de riz Aus, Aman et Boro) dans le nord-ouest du Bangladesh. Le test de Mann–Kendall modifié, l'estimateur de pente de Theil–Sen et la modélisation par régression linéaire multiple (MLR) ont été utilisés pour estimer l'association entre ces facteurs. L'hétéroskédasticité et l'erreur standard constante d'autocorrélation (HAC) et la technique faisable des moindres carrés généralisés (FGLS) ont été adoptées pour mesurer le lien entre le climat et les cultures de riz à l'aide de l'ensemble de données au niveau régional pour 1976–2015. En outre, la variation spatio-temporelle des tendances du rendement du riz avec les variables climatiques a été cartographiée et évaluée par le coefficient de variation. Les résultats montrent que les tendances observées en matière de température et d'humidité ont été bénéfiques pour les rendements Aus et Aman, mais pas pour les rendements Boro. En revanche, les tendances observées en matière de précipitations et d'ensoleillement ont été négatives pour les trois saisons du riz. Les résultats du modèle MLR expliquent 67 %, 92 % et 83 % de la variabilité des rendements en riz Aus, Aman et Boro dans la région étudiée. Les résultats du modèle ont montré que l'humidité et les précipitations ont eu un impact négatif sur les cultures de riz Aus et Aman, tandis que la température et les précipitations ont une influence positive sur le rendement du riz Boro. En ce qui concerne les questions de changement climatique et la sauvegarde de la sécurité alimentaire au niveau régional, les autorités concernées devraient accorder une attention considérable à l'amélioration des variétés à haut rendement tolérantes à la chaleur et à la sécheresse contre les effets climatiques sur les variétés de riz Aus et Aman. Debido a las evidentes variaciones climáticas y a la importante contribución a la producción nacional de alimentos, Bangladesh es una región climáticamente crítica para examinar las consecuencias climáticas para la producción de cultivos de arroz (Oryza Sativa). Este estudio pretende explorar la variabilidad de las variables climáticas (por ejemplo, variaciones en la temperatura media, las precipitaciones, la humedad relativa y la duración del sol) con los rendimientos de arroz (por ejemplo, las variedades de arroz AUS, aman y Boro) en el noroeste de Bangladesh. La prueba de Mann–Kendall modificada, el estimador de pendiente de Theil–Sen y el modelado de regresión lineal múltiple (MLR) se utilizaron para estimar la asociación entre estos factores. Se adoptó la técnica de heterocedasticidad y error estándar constante de autocorrelación (hac) y mínimos cuadrados generalizados factibles (FGLS) para medir el nexo clima-arroz utilizando el conjunto de datos a nivel regional para 1976–2015. Además, se mapeó y evaluó la variación espaciotemporal de las tendencias de rendimiento del arroz con variables climáticas mediante el coeficiente de variación. Los resultados muestran que las tendencias observadas de temperatura y humedad fueron beneficiosas para los rendimientos de AUS y aman, pero no para los rendimientos de Boro. Por el contrario, las tendencias observadas de precipitaciones y sol fueron negativas para las tres temporadas de arroz. Los resultados del modelo MLR explicaron el 67%, 92% y 83% de la variabilidad en los rendimientos de arroz AUS, aman y Boro en la región de estudio. Los resultados del modelo mostraron que la humedad y las precipitaciones han afectado negativamente a los cultivos de arroz AUS y aman, mientras que la temperatura y las precipitaciones influyen positivamente en el rendimiento del arroz Boro. Con respecto a los problemas del cambio climático y la salvaguardia de la seguridad alimentaria a nivel regional, las autoridades competentes deben prestar una atención sustancial a la mejora de las variedades de alto rendimiento tolerantes al calor y la sequía frente a los efectos climáticos en las variedades de arroz AUS y aman. Because of evident climatic variations and significant contribution to national food production, Bangladesh is a climate extreme hotspot region of examination for climatic consequences for rice (Oryza Sativa) crop production. This study intends to explore the variability of climatic variables (e.g., variations in mean temperature, rainfall, relative humidity, and sunshine duration) with rice yields (e.g., Aus, Aman, and Boro rice varieties) in northwest Bangladesh. The modified Mann–Kendall test, Theil–Sen slope estimator, and multiple linear regression (MLR) modeling were used to estimate the association among these factors. Heteroskedasticity and autocorrelation constant standard error (HAC) and feasible generalized least square (FGLS) technique were adopted to measure the climate-rice crop nexus using the regional level dataset for 1976–2015. Furthermore, the spatiotemporal variation of rice yield trends with climatic variables was mapped and assessed by the coefficient of variation. The results show that observed temperature and humidity trends were beneficial for Aus and Aman yields but not Boro yields. In contrast, observed rainfall and sunshine trends were negative for all three rice seasons. The outcomes of the MLR model explained 67%, 92%, and 83% of the variability in Aus, Aman, and Boro rice yields in the study region. The model outcomes showed that humidity and rainfall have negatively affected Aus and Aman rice crops, while temperature and rainfall positively influence Boro rice yield. Regarding the climate change issues and safeguarding food safety at the regional level, the concerned authorities should provide substantial attention to improving heat and drought-tolerance high-yielding varieties against climate effects on Aus and Aman rice varieties. نظرًا للتغيرات المناخية الواضحة والمساهمة الكبيرة في الإنتاج الغذائي الوطني، تعد بنغلاديش منطقة ساخنة شديدة المناخ لفحص الآثار المناخية على إنتاج محاصيل الأرز (أوريزا ساتيفا). تهدف هذه الدراسة إلى استكشاف تقلب المتغيرات المناخية (على سبيل المثال، الاختلافات في متوسط درجة الحرارة وهطول الأمطار والرطوبة النسبية ومدة أشعة الشمس) مع غلة الأرز (على سبيل المثال، أصناف أرز أستراليا وأمان وبورو) في شمال غرب بنغلاديش. تم استخدام اختبار مان- كيندال المعدل، ومقدر ميل ثيل- سين، ونمذجة الانحدار الخطي المتعدد (MLR) لتقدير الارتباط بين هذه العوامل. تم اعتماد المرونة المتغايرة والخطأ المعياري الثابت للارتباط الذاتي (HAC) وتقنية المربعات الأقل عمومية (FGLS) لقياس العلاقة بين محاصيل المناخ والأرز باستخدام مجموعة البيانات على المستوى الإقليمي للفترة 1976–2015. علاوة على ذلك، تم تعيين وتقييم التباين المكاني والزماني لاتجاهات غلة الأرز مع المتغيرات المناخية من خلال معامل التباين. تظهر النتائج أن اتجاهات درجة الحرارة والرطوبة المرصودة كانت مفيدة لمحاصيل Aus و Aman ولكن ليس محاصيل Boro. على النقيض من ذلك، كانت اتجاهات هطول الأمطار وأشعة الشمس المرصودة سلبية لجميع مواسم الأرز الثلاثة. أوضحت نتائج نموذج MLR 67 ٪ و 92 ٪ و 83 ٪ من التباين في غلة أرز AUS و Aman و Boro في منطقة الدراسة. أظهرت نتائج النموذج أن الرطوبة وهطول الأمطار قد أثرت سلبًا على محاصيل الأرز في أستراليا وأمان، في حين أن درجة الحرارة وهطول الأمطار يؤثران بشكل إيجابي على غلة أرز بورو. فيما يتعلق بقضايا تغير المناخ وحماية سلامة الأغذية على المستوى الإقليمي، يجب على السلطات المعنية إيلاء اهتمام كبير لتحسين الأصناف عالية الغلة التي تتحمل الحرارة والجفاف ضد الآثار المناخية على أصناف أرز أستراليا وأمان.
Theoretical and Appl... arrow_drop_down Theoretical and Applied ClimatologyArticle . 2022 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Springer Science and Business Media LLC Authors: Abu Reza Md. Towfiqul Islam; Irtifa Alam Nabila; Md. Hasanuzzaman; Md. Bozlar Rahman; +5 AuthorsAbu Reza Md. Towfiqul Islam; Irtifa Alam Nabila; Md. Hasanuzzaman; Md. Bozlar Rahman; Ahmed Elbeltagi; Javed Mallick; Kuaanan Techato; Subodh Chandra Pal; Md. Mostafizur Rahman;En raison des variations climatiques évidentes et de la contribution significative à la production alimentaire nationale, le Bangladesh est une région d'examen des conséquences climatiques pour la production de riz (Oryza Sativa). Cette étude vise à explorer la variabilité des variables climatiques (par exemple, les variations de la température moyenne, des précipitations, de l'humidité relative et de la durée d'ensoleillement) avec les rendements en riz (par exemple, les variétés de riz Aus, Aman et Boro) dans le nord-ouest du Bangladesh. Le test de Mann–Kendall modifié, l'estimateur de pente de Theil–Sen et la modélisation par régression linéaire multiple (MLR) ont été utilisés pour estimer l'association entre ces facteurs. L'hétéroskédasticité et l'erreur standard constante d'autocorrélation (HAC) et la technique faisable des moindres carrés généralisés (FGLS) ont été adoptées pour mesurer le lien entre le climat et les cultures de riz à l'aide de l'ensemble de données au niveau régional pour 1976–2015. En outre, la variation spatio-temporelle des tendances du rendement du riz avec les variables climatiques a été cartographiée et évaluée par le coefficient de variation. Les résultats montrent que les tendances observées en matière de température et d'humidité ont été bénéfiques pour les rendements Aus et Aman, mais pas pour les rendements Boro. En revanche, les tendances observées en matière de précipitations et d'ensoleillement ont été négatives pour les trois saisons du riz. Les résultats du modèle MLR expliquent 67 %, 92 % et 83 % de la variabilité des rendements en riz Aus, Aman et Boro dans la région étudiée. Les résultats du modèle ont montré que l'humidité et les précipitations ont eu un impact négatif sur les cultures de riz Aus et Aman, tandis que la température et les précipitations ont une influence positive sur le rendement du riz Boro. En ce qui concerne les questions de changement climatique et la sauvegarde de la sécurité alimentaire au niveau régional, les autorités concernées devraient accorder une attention considérable à l'amélioration des variétés à haut rendement tolérantes à la chaleur et à la sécheresse contre les effets climatiques sur les variétés de riz Aus et Aman. Debido a las evidentes variaciones climáticas y a la importante contribución a la producción nacional de alimentos, Bangladesh es una región climáticamente crítica para examinar las consecuencias climáticas para la producción de cultivos de arroz (Oryza Sativa). Este estudio pretende explorar la variabilidad de las variables climáticas (por ejemplo, variaciones en la temperatura media, las precipitaciones, la humedad relativa y la duración del sol) con los rendimientos de arroz (por ejemplo, las variedades de arroz AUS, aman y Boro) en el noroeste de Bangladesh. La prueba de Mann–Kendall modificada, el estimador de pendiente de Theil–Sen y el modelado de regresión lineal múltiple (MLR) se utilizaron para estimar la asociación entre estos factores. Se adoptó la técnica de heterocedasticidad y error estándar constante de autocorrelación (hac) y mínimos cuadrados generalizados factibles (FGLS) para medir el nexo clima-arroz utilizando el conjunto de datos a nivel regional para 1976–2015. Además, se mapeó y evaluó la variación espaciotemporal de las tendencias de rendimiento del arroz con variables climáticas mediante el coeficiente de variación. Los resultados muestran que las tendencias observadas de temperatura y humedad fueron beneficiosas para los rendimientos de AUS y aman, pero no para los rendimientos de Boro. Por el contrario, las tendencias observadas de precipitaciones y sol fueron negativas para las tres temporadas de arroz. Los resultados del modelo MLR explicaron el 67%, 92% y 83% de la variabilidad en los rendimientos de arroz AUS, aman y Boro en la región de estudio. Los resultados del modelo mostraron que la humedad y las precipitaciones han afectado negativamente a los cultivos de arroz AUS y aman, mientras que la temperatura y las precipitaciones influyen positivamente en el rendimiento del arroz Boro. Con respecto a los problemas del cambio climático y la salvaguardia de la seguridad alimentaria a nivel regional, las autoridades competentes deben prestar una atención sustancial a la mejora de las variedades de alto rendimiento tolerantes al calor y la sequía frente a los efectos climáticos en las variedades de arroz AUS y aman. Because of evident climatic variations and significant contribution to national food production, Bangladesh is a climate extreme hotspot region of examination for climatic consequences for rice (Oryza Sativa) crop production. This study intends to explore the variability of climatic variables (e.g., variations in mean temperature, rainfall, relative humidity, and sunshine duration) with rice yields (e.g., Aus, Aman, and Boro rice varieties) in northwest Bangladesh. The modified Mann–Kendall test, Theil–Sen slope estimator, and multiple linear regression (MLR) modeling were used to estimate the association among these factors. Heteroskedasticity and autocorrelation constant standard error (HAC) and feasible generalized least square (FGLS) technique were adopted to measure the climate-rice crop nexus using the regional level dataset for 1976–2015. Furthermore, the spatiotemporal variation of rice yield trends with climatic variables was mapped and assessed by the coefficient of variation. The results show that observed temperature and humidity trends were beneficial for Aus and Aman yields but not Boro yields. In contrast, observed rainfall and sunshine trends were negative for all three rice seasons. The outcomes of the MLR model explained 67%, 92%, and 83% of the variability in Aus, Aman, and Boro rice yields in the study region. The model outcomes showed that humidity and rainfall have negatively affected Aus and Aman rice crops, while temperature and rainfall positively influence Boro rice yield. Regarding the climate change issues and safeguarding food safety at the regional level, the concerned authorities should provide substantial attention to improving heat and drought-tolerance high-yielding varieties against climate effects on Aus and Aman rice varieties. نظرًا للتغيرات المناخية الواضحة والمساهمة الكبيرة في الإنتاج الغذائي الوطني، تعد بنغلاديش منطقة ساخنة شديدة المناخ لفحص الآثار المناخية على إنتاج محاصيل الأرز (أوريزا ساتيفا). تهدف هذه الدراسة إلى استكشاف تقلب المتغيرات المناخية (على سبيل المثال، الاختلافات في متوسط درجة الحرارة وهطول الأمطار والرطوبة النسبية ومدة أشعة الشمس) مع غلة الأرز (على سبيل المثال، أصناف أرز أستراليا وأمان وبورو) في شمال غرب بنغلاديش. تم استخدام اختبار مان- كيندال المعدل، ومقدر ميل ثيل- سين، ونمذجة الانحدار الخطي المتعدد (MLR) لتقدير الارتباط بين هذه العوامل. تم اعتماد المرونة المتغايرة والخطأ المعياري الثابت للارتباط الذاتي (HAC) وتقنية المربعات الأقل عمومية (FGLS) لقياس العلاقة بين محاصيل المناخ والأرز باستخدام مجموعة البيانات على المستوى الإقليمي للفترة 1976–2015. علاوة على ذلك، تم تعيين وتقييم التباين المكاني والزماني لاتجاهات غلة الأرز مع المتغيرات المناخية من خلال معامل التباين. تظهر النتائج أن اتجاهات درجة الحرارة والرطوبة المرصودة كانت مفيدة لمحاصيل Aus و Aman ولكن ليس محاصيل Boro. على النقيض من ذلك، كانت اتجاهات هطول الأمطار وأشعة الشمس المرصودة سلبية لجميع مواسم الأرز الثلاثة. أوضحت نتائج نموذج MLR 67 ٪ و 92 ٪ و 83 ٪ من التباين في غلة أرز AUS و Aman و Boro في منطقة الدراسة. أظهرت نتائج النموذج أن الرطوبة وهطول الأمطار قد أثرت سلبًا على محاصيل الأرز في أستراليا وأمان، في حين أن درجة الحرارة وهطول الأمطار يؤثران بشكل إيجابي على غلة أرز بورو. فيما يتعلق بقضايا تغير المناخ وحماية سلامة الأغذية على المستوى الإقليمي، يجب على السلطات المعنية إيلاء اهتمام كبير لتحسين الأصناف عالية الغلة التي تتحمل الحرارة والجفاف ضد الآثار المناخية على أصناف أرز أستراليا وأمان.
Theoretical and Appl... arrow_drop_down Theoretical and Applied ClimatologyArticle . 2022 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Theoretical and Appl... arrow_drop_down Theoretical and Applied ClimatologyArticle . 2022 . Peer-reviewedLicense: Springer TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022 SwedenPublisher:MDPI AG Rohitashw Kumar; Saika Manzoor; Dinesh Kumar Vishwakarma; Nadhir Al-Ansari; Nand Lal Kushwaha; Ahmed Elbeltagi; Kallem Sushanth; Vishnu Prasad; Alban Kuriqi;doi: 10.3390/su14031150
Under different climate change scenarios, the current study was planned to simulate runoff due to snowmelt in the Lidder River catchment in the Himalayan region. A basic degree-day model, the Snowmelt-Runoff Model (SRM), was utilized to assess the hydrological consequences of change in the climate. The performance of the SRM model during calibration and validation was assessed using volume difference (Dv) and coefficient of determination (R2). The Dv was found to be 11.7, −10.1, −11.8, 1.96, and 8.6 in 2009–2014, respectively, while the respective R2 was 0.96, 0.92, 0.95, 0.90, and 0.94. The Dv and R2 values indicate that the simulated snowmelt runoff closely agrees with the observed values. The simulated findings were assessed under three different climate change scenarios: (a) an increase in precipitation by +20%, (b) a temperature rise of +2 °C, and (c) a temperature rise of +2 °C with a 20% increase in snow cover. In scenario (b), the simulated results showed that runoff increased by 53% in summer (April–September). In contrast, the projected increased discharge for scenarios (a) and (c) was 37% and 67%, respectively. The SRM efficiently forecasts future water supplies due to snowmelt runoff in high elevation, data-scarce mountain environments.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/3/1150/pdfData sources: Multidisciplinary Digital Publishing InstitutePublikationer Luleå Tekniska UniversitetArticle . 2022 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 47 citations 47 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/3/1150/pdfData sources: Multidisciplinary Digital Publishing InstitutePublikationer Luleå Tekniska UniversitetArticle . 2022 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14031150&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022 SwedenPublisher:MDPI AG Rohitashw Kumar; Saika Manzoor; Dinesh Kumar Vishwakarma; Nadhir Al-Ansari; Nand Lal Kushwaha; Ahmed Elbeltagi; Kallem Sushanth; Vishnu Prasad; Alban Kuriqi;doi: 10.3390/su14031150
Under different climate change scenarios, the current study was planned to simulate runoff due to snowmelt in the Lidder River catchment in the Himalayan region. A basic degree-day model, the Snowmelt-Runoff Model (SRM), was utilized to assess the hydrological consequences of change in the climate. The performance of the SRM model during calibration and validation was assessed using volume difference (Dv) and coefficient of determination (R2). The Dv was found to be 11.7, −10.1, −11.8, 1.96, and 8.6 in 2009–2014, respectively, while the respective R2 was 0.96, 0.92, 0.95, 0.90, and 0.94. The Dv and R2 values indicate that the simulated snowmelt runoff closely agrees with the observed values. The simulated findings were assessed under three different climate change scenarios: (a) an increase in precipitation by +20%, (b) a temperature rise of +2 °C, and (c) a temperature rise of +2 °C with a 20% increase in snow cover. In scenario (b), the simulated results showed that runoff increased by 53% in summer (April–September). In contrast, the projected increased discharge for scenarios (a) and (c) was 37% and 67%, respectively. The SRM efficiently forecasts future water supplies due to snowmelt runoff in high elevation, data-scarce mountain environments.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/3/1150/pdfData sources: Multidisciplinary Digital Publishing InstitutePublikationer Luleå Tekniska UniversitetArticle . 2022 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 47 citations 47 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/3/1150/pdfData sources: Multidisciplinary Digital Publishing InstitutePublikationer Luleå Tekniska UniversitetArticle . 2022 . Peer-reviewedData sources: Publikationer Luleå Tekniska UniversitetDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2022 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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