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Impacts of Climate Change on the Hydrometeorological Characteristics of the Soan River Basin, Pakistan

آثار تغير المناخ على خصائص الأرصاد الجوية المائية لحوض نهر سوان، باكستان

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Journal 19 Jun 2021 Germany, Spain, Australia, Spain Publisher:MDPI AGJournal:Atmosphere, volume 12, page 792 (eissn: 2073-4433,

Authors: Muhammad Usman; Christopher E. Ndehedehe; Rodrigo Manzanas; Bashir Ahmad; Oluwafemi E. Adeyeri;

doi: 10.3390/atmos12060792 , 10.60692/65z38-vx288 , 10.60692/q41a3-bkm81 , 10.5445/ir/1000135840

handle: 10072/405222

Impacts of Climate Change on the Hydrometeorological Characteristics of the Soan River Basin, Pakistan

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Abstract

The global hydrological cycle is vulnerable to changing climatic conditions, especially in developing regions, which lack abundant resources and management of freshwater resources. This study evaluates the impacts of climate change on the hydrological regime of the Chirah and Dhoke Pathan sub catchments of the Soan River Basin (SRB), in Pakistan, by using the climate models included in the NEX-GDDP dataset and the hydrological model HBV-light. After proper calibration and validation, the latter is forced with NEX-GDDP inputs to simulate a historic and a future (under the RCP 4.5 and RCP 8.5 emission scenarios) streamflow. Multiple evaluation criteria were employed to find the best performing NEX-GDDP models. A different ensemble was produced for each sub catchment by including the five best performing NEX-GDDP GCMs (ACCESS1-0, CCSM4, CESM1-BGC, MIROC5, and MRI-CGCM3 for Chirah and BNU-ESM, CCSM4, GFDL-CM3. IPSL-CM5A-LR and NorESM1-M for Dhoke Pathan). Our results show that the streamflow is projected to decrease significantly for the two sub catchments, highlighting the vulnerability of the SRB to climate change.

Countries

Germany, Spain, Australia, Spain

Related Organizations

Federal University of Technology
Nigeria
Federal University of Technology
Nigeria
Griffith University
Australia
Federal University of Technology
Nigeria
Federal University of Technology
Nigeria

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Keywords

Atmospheric sciences, Water resources, 550, Representative Concentration Pathways, ddc:000, information & general works, hydrological projections, Precipitation, Oceanography, Hydrological modeling, hydrological modeling, Hydrological Modeling using Machine Learning Methods, Meteorology. Climatology, Climate change, Downscaling, Water Science and Technology, Climatology, Global and Planetary Change, 000, Geography, Ecology, NEX-GDDP GCMs, Groundwater Level Forecasting, Hydrology (agriculture), Geology, Structural basin, Surface Water Mapping, climate change, Hydrological Modeling and Water Resource Management, Climate change impacts and adaptation, Soan River Basin, Physical Sciences, Hydrological projections, Cartography, info:eu-repo/classification/ddc/000, Environmental Engineering, Hydrological Modeling, Rainfall-Runoff Modeling, Hydrometeorology, Drainage basin, Pollution and contamination, Streamflow, Climate model, Environmental science, Surface water hydrology, Global Flood Risk Assessment and Management, Meteorology, Climate change processes, Hydrological modelling, Biology, FOS: Environmental engineering, Paleontology, FOS: Earth and related environmental sciences, Computer science, Watershed Simulation, Geotechnical engineering, FOS: Biological sciences, Environmental Science, QC851-999

9 Research products, page 1 of 1

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	14
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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%