Ecologically relevant flow;
Google earth engine (GEE);
Land change modeler (LCM);
Soil and water assessment tool (SWAT);
Representative concentration pathway (RCP);
RIVER;
FLOW;
PREDICTION;
MODELS;
D O I:
10.1061/NHREFO.NHENG-1801
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
Climate change and land use land cover (LULC) change are two major factors influencing river basin hydrology. This study explored these drivers' isolated and combined impacts on the ecologically relevant flow in the Achencoil basin, Kerala, India. The LULC classification in the study is carried out with the Random Forest (RF) algorithm in the Google Earth Engine (GEE) platform, and Land Change Modeler (LCM) is incorporated for change detection and projection. The future climate data from the National Aeronautics and Space Administration Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) is used for climate change impact assessment. The Soil and Water Assessment Tool (SWAT) is employed to simulate streamflow under LULC and climate change scenarios. The historical and projected future LULC change in the basin revealed an increase in the built-up and barren land, with a significant decrease in agricultural and forest areas. The results show that the projected future precipitation will decrease under the RCP 4.5 and increase under the RCP 8.5 scenario. The projected average maximum and minimum temperature are expected to increase under both scenarios in the basin. The LULC 2050 scenario shows the most significant rise in average annual streamflow, at 7.5%. Whereas in the climate change scenarios, the average annual flow decreases under RCP 4.5 and increases under RCP 8.5. The combined impacts of climate change and LULC change are relatively higher than the isolated effects of these drivers in the basin. The study outcomes are expected to help policymakers consider the effect of climate change and LULC change on the river's hydrology so as to implement the management activities that account for the riverine ecosystem. Changes in land use land cover and meteorological parameters are important environmental issues that must be pointed out. These changes will affect the river flow and eventually affect the river ecosystem. The current research investigates the combined effects of land use land cover and climate change in the flow of the Achencoil basin in India. This study area is one of the most frequently flooded in the state. As a result, the projected climate and land use land cover provide an idea of future streamflow in the basin. This research enables a better understanding of the response of streamflow components to climate variability and land use land cover changes in the Achencoil basin, which might help policymakers develop strategies for regional water resource management. Implementing these policies and management strategies will necessitate collaboration and coordination across various levels of government, private sector, and local communities in order to mitigate the risk and support a sustainable riverine ecosystem.
机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Chen, Qihui
Chen, Hua
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机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Chen, Hua
Wang, Jinxing
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机构:
Minist Water Resources Peoples Republ China, Hydrol Monitor & Forecast Ctr, Informat Ctr, Beijing 100053, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Wang, Jinxing
Zhao, Ying
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机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Zhao, Ying
Chen, Jie
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机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
Chen, Jie
Xu, Chongyu
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h-index: 0
机构:
Univ Oslo, Dept Geosci, POB 1047, N-0316 Oslo, NorwayWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
机构:
Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Jia, Li
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h-index:
机构:
Menenti, Massimo
Zheng, Chaolei
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机构:
Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Zheng, Chaolei
Zeng, Yelong
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h-index: 0
机构:
Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Univ Chinese Acad Sci, Beijing 100045, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Zeng, Yelong
Barnieh, Beatrice Asenso
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机构:
Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Univ Energy & Nat Resources, Earth Observat Res & Innovat Ctr EORIC, POB 214, Sunyani, GhanaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
Barnieh, Beatrice Asenso
Jiang, Min
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h-index: 0
机构:
Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R ChinaChinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China