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description Publicationkeyboard_double_arrow_right Article , Other literature type 2022 SpainPublisher:MDPI AG Authors: Geovanna Villacreses; Diego Jijón; Juan Francisco Nicolalde; Javier Martínez-Gómez; +1 AuthorsGeovanna Villacreses; Diego Jijón; Juan Francisco Nicolalde; Javier Martínez-Gómez; Franz Betancourt;doi: 10.3390/en16010029
handle: 10017/61912
The Galapagos Islands have been declared a World Heritage site due to their unique biodiversity, which makes them a living museum and a natural laboratory for humankind. However, to fulfill the energy needs of its habitants and foreign visitors, the islands have depended on fossil fuel energies that have produced levels of lead and chemical agents that are affecting the islands’ air quality, flora, and fauna. Therefore, zero-carbon initiatives have been created to protect the islands, wherein solar and wind power plants have been studied as reliable alternatives. In this way, Geographical Information Systems based on Multicriteria Decision Methods constitute a methodology that minimizes the destruction and disturbance of nature in order to assess the best location for the implementation of these alternative energy sources. Therefore, by exploring the geographical information along with the Analytical Hierarchical Processes and the Ordered Weighted Average methods, it was possible to identify the potential for solar power plants of 10 MW on each island; likewise, for wind power plants, it was found that the islands possess implementation potential that has been analyzed in the field, showing that the best location is on Baltra Island, but is not limited to it.
Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/1/29/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2023License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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/en16010029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 106visibility views 106 download downloads 17 Powered bymore_vert Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/1/29/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2023License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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/en16010029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 SpainPublisher:MDPI AG Authors: Geovanna Villacreses; Diego Jijón; Juan Francisco Nicolalde; Javier Martínez-Gómez; +1 AuthorsGeovanna Villacreses; Diego Jijón; Juan Francisco Nicolalde; Javier Martínez-Gómez; Franz Betancourt;doi: 10.3390/en16010029
handle: 10017/61912
The Galapagos Islands have been declared a World Heritage site due to their unique biodiversity, which makes them a living museum and a natural laboratory for humankind. However, to fulfill the energy needs of its habitants and foreign visitors, the islands have depended on fossil fuel energies that have produced levels of lead and chemical agents that are affecting the islands’ air quality, flora, and fauna. Therefore, zero-carbon initiatives have been created to protect the islands, wherein solar and wind power plants have been studied as reliable alternatives. In this way, Geographical Information Systems based on Multicriteria Decision Methods constitute a methodology that minimizes the destruction and disturbance of nature in order to assess the best location for the implementation of these alternative energy sources. Therefore, by exploring the geographical information along with the Analytical Hierarchical Processes and the Ordered Weighted Average methods, it was possible to identify the potential for solar power plants of 10 MW on each island; likewise, for wind power plants, it was found that the islands possess implementation potential that has been analyzed in the field, showing that the best location is on Baltra Island, but is not limited to it.
Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/1/29/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2023License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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/en16010029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 106visibility views 106 download downloads 17 Powered bymore_vert Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/1/29/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2023License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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/en16010029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 SpainPublisher:Elsevier BV Authors: Villacreses, Geovanna; Martínez Gómez, Javier; Jijón, Diego; Cordovez, Martin;handle: 10017/61916
Human needs and their production processes require energy services to be developed. In recent years, there has been a great interest in counteracting the use of fossil fuels to satisfy these needs. As part of the worldwide proposed initiatives, there is the use of renewable resources. In Latin America, renewable energy represents a large share of electric energy generation sources. In the case of the Ecuadorian energy regulation, it is necessary to generate at least 1 MW to be considered as a solar farm. Under this framework, Ecuador has a project for installing 91 photovoltaic power plants, fifteen of which will be solar farms and the rest solar power plants with relatively low generation capacity. Currently, in Ecuador, photovoltaic projects are randomly distributed in the territory which shows a lack of adequate criteria for their location. The first step to promote the use of solar sources is identifying the potential, which can be estimated with the use of spatial tools such as Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM). This research aims to locate appropriate sites for installing photovoltaic solar farms based on the Ecuadorian energy regulation and combining GIS with MCDM techniques. Thus, nine factors and four restrictions were used for the analysis. Factors were weighted using the Analytic Hierarchy Process method. Once weighted, seven MCDMs were applied to select sites with solar potential. Subsequently, an analysis of seven results was performed using the Pearson correlation coefficient, followed by the absolute error analysis. By the coefficient of Pearson, it is demonstrated that there are methods with a high correlation between them. It is explained by the fact that they have many pixels with similar values, but these values are independent of geographical location. Regarding the results, Loja and part of the provinces in the center north of the country, Pichincha, Santo Domingo de los Tsáchilas, and Cotopaxi are the most adequate because of its great global solar radiation, wind speed, and temperature to cold the solar panels. Universidad International SEK
Energy Reports arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2022License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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.egyr.2022.02.152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 110visibility views 110 download downloads 23 Powered bymore_vert Energy Reports arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2022License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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.egyr.2022.02.152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 SpainPublisher:Elsevier BV Authors: Villacreses, Geovanna; Martínez Gómez, Javier; Jijón, Diego; Cordovez, Martin;handle: 10017/61916
Human needs and their production processes require energy services to be developed. In recent years, there has been a great interest in counteracting the use of fossil fuels to satisfy these needs. As part of the worldwide proposed initiatives, there is the use of renewable resources. In Latin America, renewable energy represents a large share of electric energy generation sources. In the case of the Ecuadorian energy regulation, it is necessary to generate at least 1 MW to be considered as a solar farm. Under this framework, Ecuador has a project for installing 91 photovoltaic power plants, fifteen of which will be solar farms and the rest solar power plants with relatively low generation capacity. Currently, in Ecuador, photovoltaic projects are randomly distributed in the territory which shows a lack of adequate criteria for their location. The first step to promote the use of solar sources is identifying the potential, which can be estimated with the use of spatial tools such as Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM). This research aims to locate appropriate sites for installing photovoltaic solar farms based on the Ecuadorian energy regulation and combining GIS with MCDM techniques. Thus, nine factors and four restrictions were used for the analysis. Factors were weighted using the Analytic Hierarchy Process method. Once weighted, seven MCDMs were applied to select sites with solar potential. Subsequently, an analysis of seven results was performed using the Pearson correlation coefficient, followed by the absolute error analysis. By the coefficient of Pearson, it is demonstrated that there are methods with a high correlation between them. It is explained by the fact that they have many pixels with similar values, but these values are independent of geographical location. Regarding the results, Loja and part of the provinces in the center north of the country, Pichincha, Santo Domingo de los Tsáchilas, and Cotopaxi are the most adequate because of its great global solar radiation, wind speed, and temperature to cold the solar panels. Universidad International SEK
Energy Reports arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2022License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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.egyr.2022.02.152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 110visibility views 110 download downloads 23 Powered bymore_vert Energy Reports arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2022License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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.egyr.2022.02.152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2017Publisher:Elsevier BV Authors: Geovanna Villacreses; Gabriel Gaona; Javier Martínez-Gómez; Diego Jijón;Abstract The aim of this research was to implement a geographical information system with multi-criteria decision making methods, to select the most feasible location for installing wind power plants in continental Ecuador. In addition, a standardization process was performed, which consists of establishing an overall performance index to evaluate the results. Finally, the Pearson correlation coefficient is used to analyze mutual correspondence between multi-criteria decision making methods. In this research, different selection criteria which include meteorological parameters (wind speed, air density), relief (slope), location (distances to substations, road network, urban areas, transmission lines, charging ports) and environmental parameters (vegetation coverage), have been considered. The results of this research revealed that the site with the highest overall performance index is the Andean region of Ecuador, with an area of more than 617.5 km 2 . The outcome of the overall performance index indicates that the four selected multi-criteria decision making methods provided similar results, where the value was equal to or greater than 75% of the maximum punctuation of an ideal location. In this context, the methods analyzed converge to similar solutions and indicate that the multi-criteria decision making method is a powerful tool for selecting ideal locations for wind farms.
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=10.1016/j.renene.2017.03.041&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 270 citations 270 popularity Top 0.1% influence Top 1% 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=10.1016/j.renene.2017.03.041&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2017Publisher:Elsevier BV Authors: Geovanna Villacreses; Gabriel Gaona; Javier Martínez-Gómez; Diego Jijón;Abstract The aim of this research was to implement a geographical information system with multi-criteria decision making methods, to select the most feasible location for installing wind power plants in continental Ecuador. In addition, a standardization process was performed, which consists of establishing an overall performance index to evaluate the results. Finally, the Pearson correlation coefficient is used to analyze mutual correspondence between multi-criteria decision making methods. In this research, different selection criteria which include meteorological parameters (wind speed, air density), relief (slope), location (distances to substations, road network, urban areas, transmission lines, charging ports) and environmental parameters (vegetation coverage), have been considered. The results of this research revealed that the site with the highest overall performance index is the Andean region of Ecuador, with an area of more than 617.5 km 2 . The outcome of the overall performance index indicates that the four selected multi-criteria decision making methods provided similar results, where the value was equal to or greater than 75% of the maximum punctuation of an ideal location. In this context, the methods analyzed converge to similar solutions and indicate that the multi-criteria decision making method is a powerful tool for selecting ideal locations for wind farms.
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=10.1016/j.renene.2017.03.041&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 270 citations 270 popularity Top 0.1% influence Top 1% 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=10.1016/j.renene.2017.03.041&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:IOP Publishing Authors: Juan Diego Jijón; Karl-Heinz Gaudry; Jessica Constante; César Valencia;Abstract Before the 2010, studies in climate change (CC) projections embracing scales below 3° were difficult to find. This has changed dramatically over the past ten years, with literature addressing high resolution grids for climate studies, allowing a better understanding and forecasting of CC at finer scales. However, downscaling methods remain poorly explored in urban planning. Research shows that the main difficulties relate to mismatches between data needs and data availability, terminology, constraints of information technology and maps that inform spatial planning decision-making processes. Based on dynamic downscaled maps for RCP 4.5 and RCP 8.5 at 10 km resolution published by Ecuador’s Ministry of Environment and Water (MAAE), we develop a method for augmenting the resolution scale at 30 m. We use digital elevation models and Landsat 4/5/7/8 satellite imagery for land surface temperature (LST) and present a series of steps and equations before applying Stefan Bolzman’s law. We present the necessary equations between the filling-in of LST outliers, and their projection onto air temperature at 2 m height, taking surface emissivity estimates based on (Alves et al 2017 J. Hyperspectral Remote Sens. 7 91–100). We extrapolate the resulting air temperature in time with Fourier’s series, and for the purpose of coherence among scales, we upscale air temperature maps at 30 m to those at 10 km resolution. The resulting CC projection maps are validated with the temporal series of air temperature (max, min, mean) from the meteorological station in the Ecuadorian city of Portoviejo (Student’s t-test) for the period between 1981 and 2005, with Portoviejo city facing temperature increases of up to 2 °C under RCP 4.5 scenario in the period 2011–2040 vs 1981–2005. The final CC maps have an augmented resolution of 30 m, are compatible with those of MAAE, and offer a low-cost procedure for informing land-use and urban planners, as well as local development decision makers, of temperature anomalies due to climate change.
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=10.1088/1748-9326/abf7f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 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=10.1088/1748-9326/abf7f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:IOP Publishing Authors: Juan Diego Jijón; Karl-Heinz Gaudry; Jessica Constante; César Valencia;Abstract Before the 2010, studies in climate change (CC) projections embracing scales below 3° were difficult to find. This has changed dramatically over the past ten years, with literature addressing high resolution grids for climate studies, allowing a better understanding and forecasting of CC at finer scales. However, downscaling methods remain poorly explored in urban planning. Research shows that the main difficulties relate to mismatches between data needs and data availability, terminology, constraints of information technology and maps that inform spatial planning decision-making processes. Based on dynamic downscaled maps for RCP 4.5 and RCP 8.5 at 10 km resolution published by Ecuador’s Ministry of Environment and Water (MAAE), we develop a method for augmenting the resolution scale at 30 m. We use digital elevation models and Landsat 4/5/7/8 satellite imagery for land surface temperature (LST) and present a series of steps and equations before applying Stefan Bolzman’s law. We present the necessary equations between the filling-in of LST outliers, and their projection onto air temperature at 2 m height, taking surface emissivity estimates based on (Alves et al 2017 J. Hyperspectral Remote Sens. 7 91–100). We extrapolate the resulting air temperature in time with Fourier’s series, and for the purpose of coherence among scales, we upscale air temperature maps at 30 m to those at 10 km resolution. The resulting CC projection maps are validated with the temporal series of air temperature (max, min, mean) from the meteorological station in the Ecuadorian city of Portoviejo (Student’s t-test) for the period between 1981 and 2005, with Portoviejo city facing temperature increases of up to 2 °C under RCP 4.5 scenario in the period 2011–2040 vs 1981–2005. The final CC maps have an augmented resolution of 30 m, are compatible with those of MAAE, and offer a low-cost procedure for informing land-use and urban planners, as well as local development decision makers, of temperature anomalies due to climate change.
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=10.1088/1748-9326/abf7f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 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=10.1088/1748-9326/abf7f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Other literature type 2022 SpainPublisher:MDPI AG Authors: Geovanna Villacreses; Diego Jijón; Juan Francisco Nicolalde; Javier Martínez-Gómez; +1 AuthorsGeovanna Villacreses; Diego Jijón; Juan Francisco Nicolalde; Javier Martínez-Gómez; Franz Betancourt;doi: 10.3390/en16010029
handle: 10017/61912
The Galapagos Islands have been declared a World Heritage site due to their unique biodiversity, which makes them a living museum and a natural laboratory for humankind. However, to fulfill the energy needs of its habitants and foreign visitors, the islands have depended on fossil fuel energies that have produced levels of lead and chemical agents that are affecting the islands’ air quality, flora, and fauna. Therefore, zero-carbon initiatives have been created to protect the islands, wherein solar and wind power plants have been studied as reliable alternatives. In this way, Geographical Information Systems based on Multicriteria Decision Methods constitute a methodology that minimizes the destruction and disturbance of nature in order to assess the best location for the implementation of these alternative energy sources. Therefore, by exploring the geographical information along with the Analytical Hierarchical Processes and the Ordered Weighted Average methods, it was possible to identify the potential for solar power plants of 10 MW on each island; likewise, for wind power plants, it was found that the islands possess implementation potential that has been analyzed in the field, showing that the best location is on Baltra Island, but is not limited to it.
Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/1/29/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2023License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 106visibility views 106 download downloads 17 Powered bymore_vert Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/1/29/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2023License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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/en16010029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 SpainPublisher:MDPI AG Authors: Geovanna Villacreses; Diego Jijón; Juan Francisco Nicolalde; Javier Martínez-Gómez; +1 AuthorsGeovanna Villacreses; Diego Jijón; Juan Francisco Nicolalde; Javier Martínez-Gómez; Franz Betancourt;doi: 10.3390/en16010029
handle: 10017/61912
The Galapagos Islands have been declared a World Heritage site due to their unique biodiversity, which makes them a living museum and a natural laboratory for humankind. However, to fulfill the energy needs of its habitants and foreign visitors, the islands have depended on fossil fuel energies that have produced levels of lead and chemical agents that are affecting the islands’ air quality, flora, and fauna. Therefore, zero-carbon initiatives have been created to protect the islands, wherein solar and wind power plants have been studied as reliable alternatives. In this way, Geographical Information Systems based on Multicriteria Decision Methods constitute a methodology that minimizes the destruction and disturbance of nature in order to assess the best location for the implementation of these alternative energy sources. Therefore, by exploring the geographical information along with the Analytical Hierarchical Processes and the Ordered Weighted Average methods, it was possible to identify the potential for solar power plants of 10 MW on each island; likewise, for wind power plants, it was found that the islands possess implementation potential that has been analyzed in the field, showing that the best location is on Baltra Island, but is not limited to it.
Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/1/29/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2023License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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/en16010029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 106visibility views 106 download downloads 17 Powered bymore_vert Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/16/1/29/pdfData sources: Multidisciplinary Digital Publishing InstituteRecolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2023License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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/en16010029&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 SpainPublisher:Elsevier BV Authors: Villacreses, Geovanna; Martínez Gómez, Javier; Jijón, Diego; Cordovez, Martin;handle: 10017/61916
Human needs and their production processes require energy services to be developed. In recent years, there has been a great interest in counteracting the use of fossil fuels to satisfy these needs. As part of the worldwide proposed initiatives, there is the use of renewable resources. In Latin America, renewable energy represents a large share of electric energy generation sources. In the case of the Ecuadorian energy regulation, it is necessary to generate at least 1 MW to be considered as a solar farm. Under this framework, Ecuador has a project for installing 91 photovoltaic power plants, fifteen of which will be solar farms and the rest solar power plants with relatively low generation capacity. Currently, in Ecuador, photovoltaic projects are randomly distributed in the territory which shows a lack of adequate criteria for their location. The first step to promote the use of solar sources is identifying the potential, which can be estimated with the use of spatial tools such as Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM). This research aims to locate appropriate sites for installing photovoltaic solar farms based on the Ecuadorian energy regulation and combining GIS with MCDM techniques. Thus, nine factors and four restrictions were used for the analysis. Factors were weighted using the Analytic Hierarchy Process method. Once weighted, seven MCDMs were applied to select sites with solar potential. Subsequently, an analysis of seven results was performed using the Pearson correlation coefficient, followed by the absolute error analysis. By the coefficient of Pearson, it is demonstrated that there are methods with a high correlation between them. It is explained by the fact that they have many pixels with similar values, but these values are independent of geographical location. Regarding the results, Loja and part of the provinces in the center north of the country, Pichincha, Santo Domingo de los Tsáchilas, and Cotopaxi are the most adequate because of its great global solar radiation, wind speed, and temperature to cold the solar panels. Universidad International SEK
Energy Reports arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2022License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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.egyr.2022.02.152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 110visibility views 110 download downloads 23 Powered bymore_vert Energy Reports arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2022License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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.egyr.2022.02.152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 SpainPublisher:Elsevier BV Authors: Villacreses, Geovanna; Martínez Gómez, Javier; Jijón, Diego; Cordovez, Martin;handle: 10017/61916
Human needs and their production processes require energy services to be developed. In recent years, there has been a great interest in counteracting the use of fossil fuels to satisfy these needs. As part of the worldwide proposed initiatives, there is the use of renewable resources. In Latin America, renewable energy represents a large share of electric energy generation sources. In the case of the Ecuadorian energy regulation, it is necessary to generate at least 1 MW to be considered as a solar farm. Under this framework, Ecuador has a project for installing 91 photovoltaic power plants, fifteen of which will be solar farms and the rest solar power plants with relatively low generation capacity. Currently, in Ecuador, photovoltaic projects are randomly distributed in the territory which shows a lack of adequate criteria for their location. The first step to promote the use of solar sources is identifying the potential, which can be estimated with the use of spatial tools such as Geographic Information Systems (GIS) with Multiple-criteria decision-making (MCDM). This research aims to locate appropriate sites for installing photovoltaic solar farms based on the Ecuadorian energy regulation and combining GIS with MCDM techniques. Thus, nine factors and four restrictions were used for the analysis. Factors were weighted using the Analytic Hierarchy Process method. Once weighted, seven MCDMs were applied to select sites with solar potential. Subsequently, an analysis of seven results was performed using the Pearson correlation coefficient, followed by the absolute error analysis. By the coefficient of Pearson, it is demonstrated that there are methods with a high correlation between them. It is explained by the fact that they have many pixels with similar values, but these values are independent of geographical location. Regarding the results, Loja and part of the provinces in the center north of the country, Pichincha, Santo Domingo de los Tsáchilas, and Cotopaxi are the most adequate because of its great global solar radiation, wind speed, and temperature to cold the solar panels. Universidad International SEK
Energy Reports arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2022License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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.egyr.2022.02.152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
visibility 110visibility views 110 download downloads 23 Powered bymore_vert Energy Reports arrow_drop_down Recolector de Ciencia Abierta, RECOLECTAArticle . 2022License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTABiblioteca Digital de la Universidad de AlcaláArticle . 2022License: CC BY NC NDData sources: Biblioteca Digital de la Universidad de Alcaláadd 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.egyr.2022.02.152&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2017Publisher:Elsevier BV Authors: Geovanna Villacreses; Gabriel Gaona; Javier Martínez-Gómez; Diego Jijón;Abstract The aim of this research was to implement a geographical information system with multi-criteria decision making methods, to select the most feasible location for installing wind power plants in continental Ecuador. In addition, a standardization process was performed, which consists of establishing an overall performance index to evaluate the results. Finally, the Pearson correlation coefficient is used to analyze mutual correspondence between multi-criteria decision making methods. In this research, different selection criteria which include meteorological parameters (wind speed, air density), relief (slope), location (distances to substations, road network, urban areas, transmission lines, charging ports) and environmental parameters (vegetation coverage), have been considered. The results of this research revealed that the site with the highest overall performance index is the Andean region of Ecuador, with an area of more than 617.5 km 2 . The outcome of the overall performance index indicates that the four selected multi-criteria decision making methods provided similar results, where the value was equal to or greater than 75% of the maximum punctuation of an ideal location. In this context, the methods analyzed converge to similar solutions and indicate that the multi-criteria decision making method is a powerful tool for selecting ideal locations for wind farms.
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=10.1016/j.renene.2017.03.041&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 270 citations 270 popularity Top 0.1% influence Top 1% 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=10.1016/j.renene.2017.03.041&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2017Publisher:Elsevier BV Authors: Geovanna Villacreses; Gabriel Gaona; Javier Martínez-Gómez; Diego Jijón;Abstract The aim of this research was to implement a geographical information system with multi-criteria decision making methods, to select the most feasible location for installing wind power plants in continental Ecuador. In addition, a standardization process was performed, which consists of establishing an overall performance index to evaluate the results. Finally, the Pearson correlation coefficient is used to analyze mutual correspondence between multi-criteria decision making methods. In this research, different selection criteria which include meteorological parameters (wind speed, air density), relief (slope), location (distances to substations, road network, urban areas, transmission lines, charging ports) and environmental parameters (vegetation coverage), have been considered. The results of this research revealed that the site with the highest overall performance index is the Andean region of Ecuador, with an area of more than 617.5 km 2 . The outcome of the overall performance index indicates that the four selected multi-criteria decision making methods provided similar results, where the value was equal to or greater than 75% of the maximum punctuation of an ideal location. In this context, the methods analyzed converge to similar solutions and indicate that the multi-criteria decision making method is a powerful tool for selecting ideal locations for wind farms.
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=10.1016/j.renene.2017.03.041&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 270 citations 270 popularity Top 0.1% influence Top 1% 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=10.1016/j.renene.2017.03.041&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:IOP Publishing Authors: Juan Diego Jijón; Karl-Heinz Gaudry; Jessica Constante; César Valencia;Abstract Before the 2010, studies in climate change (CC) projections embracing scales below 3° were difficult to find. This has changed dramatically over the past ten years, with literature addressing high resolution grids for climate studies, allowing a better understanding and forecasting of CC at finer scales. However, downscaling methods remain poorly explored in urban planning. Research shows that the main difficulties relate to mismatches between data needs and data availability, terminology, constraints of information technology and maps that inform spatial planning decision-making processes. Based on dynamic downscaled maps for RCP 4.5 and RCP 8.5 at 10 km resolution published by Ecuador’s Ministry of Environment and Water (MAAE), we develop a method for augmenting the resolution scale at 30 m. We use digital elevation models and Landsat 4/5/7/8 satellite imagery for land surface temperature (LST) and present a series of steps and equations before applying Stefan Bolzman’s law. We present the necessary equations between the filling-in of LST outliers, and their projection onto air temperature at 2 m height, taking surface emissivity estimates based on (Alves et al 2017 J. Hyperspectral Remote Sens. 7 91–100). We extrapolate the resulting air temperature in time with Fourier’s series, and for the purpose of coherence among scales, we upscale air temperature maps at 30 m to those at 10 km resolution. The resulting CC projection maps are validated with the temporal series of air temperature (max, min, mean) from the meteorological station in the Ecuadorian city of Portoviejo (Student’s t-test) for the period between 1981 and 2005, with Portoviejo city facing temperature increases of up to 2 °C under RCP 4.5 scenario in the period 2011–2040 vs 1981–2005. The final CC maps have an augmented resolution of 30 m, are compatible with those of MAAE, and offer a low-cost procedure for informing land-use and urban planners, as well as local development decision makers, of temperature anomalies due to climate change.
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=10.1088/1748-9326/abf7f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 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=10.1088/1748-9326/abf7f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:IOP Publishing Authors: Juan Diego Jijón; Karl-Heinz Gaudry; Jessica Constante; César Valencia;Abstract Before the 2010, studies in climate change (CC) projections embracing scales below 3° were difficult to find. This has changed dramatically over the past ten years, with literature addressing high resolution grids for climate studies, allowing a better understanding and forecasting of CC at finer scales. However, downscaling methods remain poorly explored in urban planning. Research shows that the main difficulties relate to mismatches between data needs and data availability, terminology, constraints of information technology and maps that inform spatial planning decision-making processes. Based on dynamic downscaled maps for RCP 4.5 and RCP 8.5 at 10 km resolution published by Ecuador’s Ministry of Environment and Water (MAAE), we develop a method for augmenting the resolution scale at 30 m. We use digital elevation models and Landsat 4/5/7/8 satellite imagery for land surface temperature (LST) and present a series of steps and equations before applying Stefan Bolzman’s law. We present the necessary equations between the filling-in of LST outliers, and their projection onto air temperature at 2 m height, taking surface emissivity estimates based on (Alves et al 2017 J. Hyperspectral Remote Sens. 7 91–100). We extrapolate the resulting air temperature in time with Fourier’s series, and for the purpose of coherence among scales, we upscale air temperature maps at 30 m to those at 10 km resolution. The resulting CC projection maps are validated with the temporal series of air temperature (max, min, mean) from the meteorological station in the Ecuadorian city of Portoviejo (Student’s t-test) for the period between 1981 and 2005, with Portoviejo city facing temperature increases of up to 2 °C under RCP 4.5 scenario in the period 2011–2040 vs 1981–2005. The final CC maps have an augmented resolution of 30 m, are compatible with those of MAAE, and offer a low-cost procedure for informing land-use and urban planners, as well as local development decision makers, of temperature anomalies due to climate change.
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=10.1088/1748-9326/abf7f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 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=10.1088/1748-9326/abf7f2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu