A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios

The hydrologic behaviour of the Brahmani River basin (BRB) (39,633.90 km2), India was assessed for the base period (1970–1999) and future climate scenarios (2050) using the Soil and Water Assessment Tool (SWAT). Monthly streamflow data of 2000–2009 and 2010–2012 was used for calibration and validati...

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Autores principales:	Sonam S. Dash, Dipaka R. Sena, Uday Mandal, Anil Kumar, Gopal Kumar, Prasant K. Mishra, Monika Rawat
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	brahmani river basin climate change environmental flow sediment yield streamflow vulnerability Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/e49556f4054c4b1db13f2ab81f345d31
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spelling	oai:doaj.org-article:e49556f4054c4b1db13f2ab81f345d312021-11-05T18:31:03ZA hydrological modelling-based approach for vulnerable area identification under changing climate scenarios2040-22442408-935410.2166/wcc.2020.202https://doaj.org/article/e49556f4054c4b1db13f2ab81f345d312021-03-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/2/433https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354The hydrologic behaviour of the Brahmani River basin (BRB) (39,633.90 km2), India was assessed for the base period (1970–1999) and future climate scenarios (2050) using the Soil and Water Assessment Tool (SWAT). Monthly streamflow data of 2000–2009 and 2010–2012 was used for calibration and validation, respectively, and performed satisfactorily with Nash-Sutcliffe Efficiency (ENS) of 0.52–0.55. The projected future climatic outcomes of the HadGEM2-ES model indicated that minimum temperature, maximum temperature, and precipitation may increase by 1.11–3.72 °C, 0.27–2.89 °C, and 16–263 mm, respectively, by 2050. The mean annual streamflow over the basin may increase by 20.86, 11.29, 4.45, and 37.94% under representative concentration pathway (RCP) 2.6, 4.5, 6.0, and 8.5, respectively, whereas the sediment yield is likely to increase by 23.34, 10.53, 2.45, and 27.62% under RCP 2.6, 4.5, 6.0, and 8.5, respectively, signifying RCP 8.5 to be the most adverse scenario for the BRB. Moreover, a ten-fold increase in environmental flow (defined as Q90) by the mid-century period is expected under the RCP 8.5 scenario. The vulnerable area assessment revealed that the increase in moderate and high erosion-prone regions will be more prevalent in the mid-century. The methodology developed herein could be successfully implemented for identification and prioritization of critical zones in worldwide river basins.Sonam S. DashDipaka R. SenaUday MandalAnil KumarGopal KumarPrasant K. MishraMonika RawatIWA Publishingarticlebrahmani river basinclimate changeenvironmental flowsediment yieldstreamflowvulnerabilityEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 2, Pp 433-452 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	brahmani river basin climate change environmental flow sediment yield streamflow vulnerability Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	brahmani river basin climate change environmental flow sediment yield streamflow vulnerability Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Sonam S. Dash Dipaka R. Sena Uday Mandal Anil Kumar Gopal Kumar Prasant K. Mishra Monika Rawat A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios
description	The hydrologic behaviour of the Brahmani River basin (BRB) (39,633.90 km2), India was assessed for the base period (1970–1999) and future climate scenarios (2050) using the Soil and Water Assessment Tool (SWAT). Monthly streamflow data of 2000–2009 and 2010–2012 was used for calibration and validation, respectively, and performed satisfactorily with Nash-Sutcliffe Efficiency (ENS) of 0.52–0.55. The projected future climatic outcomes of the HadGEM2-ES model indicated that minimum temperature, maximum temperature, and precipitation may increase by 1.11–3.72 °C, 0.27–2.89 °C, and 16–263 mm, respectively, by 2050. The mean annual streamflow over the basin may increase by 20.86, 11.29, 4.45, and 37.94% under representative concentration pathway (RCP) 2.6, 4.5, 6.0, and 8.5, respectively, whereas the sediment yield is likely to increase by 23.34, 10.53, 2.45, and 27.62% under RCP 2.6, 4.5, 6.0, and 8.5, respectively, signifying RCP 8.5 to be the most adverse scenario for the BRB. Moreover, a ten-fold increase in environmental flow (defined as Q90) by the mid-century period is expected under the RCP 8.5 scenario. The vulnerable area assessment revealed that the increase in moderate and high erosion-prone regions will be more prevalent in the mid-century. The methodology developed herein could be successfully implemented for identification and prioritization of critical zones in worldwide river basins.
format	article
author	Sonam S. Dash Dipaka R. Sena Uday Mandal Anil Kumar Gopal Kumar Prasant K. Mishra Monika Rawat
author_facet	Sonam S. Dash Dipaka R. Sena Uday Mandal Anil Kumar Gopal Kumar Prasant K. Mishra Monika Rawat
author_sort	Sonam S. Dash
title	A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios
title_short	A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios
title_full	A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios
title_fullStr	A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios
title_full_unstemmed	A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios
title_sort	hydrological modelling-based approach for vulnerable area identification under changing climate scenarios
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/e49556f4054c4b1db13f2ab81f345d31
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A hydrological modelling-based approach for vulnerable area identification under changing climate scenarios

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