Modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India
Parametric models of actual evapotranspiration (AET) based on precipitation (P) and potential evapotranspiration (PET) are region-specific and purely climate-induced and limited to represent the hydrological water balances. Basin-averaged model parameters considering P, AET, and runoff (R) using a m...
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oai:doaj.org-article:16a3c156521847f687fe29c91fadb7b02021-11-05T18:31:11ZModeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India2040-22442408-935410.2166/wcc.2020.173https://doaj.org/article/16a3c156521847f687fe29c91fadb7b02021-03-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/2/502https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Parametric models of actual evapotranspiration (AET) based on precipitation (P) and potential evapotranspiration (PET) are region-specific and purely climate-induced and limited to represent the hydrological water balances. Basin-averaged model parameters considering P, AET, and runoff (R) using a machine learning algorithm, ensemble regression model, is proposed. Hydrologically calibrated model parameters allowed the study of AET under alterations of water use for current and for future scenarios under climate change. The effect of climate, water, and land use changes on AET was studied for the post-change period of 2004–2014 compared to pre-change period of 1965–2003 over Krishna river basin (KRB), India. The AET has increased under climate and water use changes while there is both increase and decreases of AET under land use changes for post-change period compared to pre-change period over the basin. Severe water shortages were estimated under pronounced increase of temperature (1.29 °C) compared to precipitation increase (2.19%) based on Coordinated Regional Downscaling Experiment (CORDEX) projections for the period 2021–2060. Hydrologically induced AET changes were more pronounced than climate for current climate; whereas climate-induced AET changes were found to be more prominent for projected climate signals over the basin.S. RehanaG. Sireesha NaiduN. T. MonishU. SowjanyaIWA Publishingarticlebudyko hypothesiscordexpcrasterregional circulation modelsthornthwaite modelEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 2, Pp 502-520 (2021) |
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budyko hypothesis cordex pcraster regional circulation models thornthwaite model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 |
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budyko hypothesis cordex pcraster regional circulation models thornthwaite model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 S. Rehana G. Sireesha Naidu N. T. Monish U. Sowjanya Modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India |
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Parametric models of actual evapotranspiration (AET) based on precipitation (P) and potential evapotranspiration (PET) are region-specific and purely climate-induced and limited to represent the hydrological water balances. Basin-averaged model parameters considering P, AET, and runoff (R) using a machine learning algorithm, ensemble regression model, is proposed. Hydrologically calibrated model parameters allowed the study of AET under alterations of water use for current and for future scenarios under climate change. The effect of climate, water, and land use changes on AET was studied for the post-change period of 2004–2014 compared to pre-change period of 1965–2003 over Krishna river basin (KRB), India. The AET has increased under climate and water use changes while there is both increase and decreases of AET under land use changes for post-change period compared to pre-change period over the basin. Severe water shortages were estimated under pronounced increase of temperature (1.29 °C) compared to precipitation increase (2.19%) based on Coordinated Regional Downscaling Experiment (CORDEX) projections for the period 2021–2060. Hydrologically induced AET changes were more pronounced than climate for current climate; whereas climate-induced AET changes were found to be more prominent for projected climate signals over the basin. |
format |
article |
author |
S. Rehana G. Sireesha Naidu N. T. Monish U. Sowjanya |
author_facet |
S. Rehana G. Sireesha Naidu N. T. Monish U. Sowjanya |
author_sort |
S. Rehana |
title |
Modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India |
title_short |
Modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India |
title_full |
Modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India |
title_fullStr |
Modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India |
title_full_unstemmed |
Modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of India |
title_sort |
modeling hydro-climatic changes of evapotranspiration over a semi-arid river basin of india |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/16a3c156521847f687fe29c91fadb7b0 |
work_keys_str_mv |
AT srehana modelinghydroclimaticchangesofevapotranspirationoverasemiaridriverbasinofindia AT gsireeshanaidu modelinghydroclimaticchangesofevapotranspirationoverasemiaridriverbasinofindia AT ntmonish modelinghydroclimaticchangesofevapotranspirationoverasemiaridriverbasinofindia AT usowjanya modelinghydroclimaticchangesofevapotranspirationoverasemiaridriverbasinofindia |
_version_ |
1718444085153366016 |