Impacts of hydroclimate change on climate-resilient agriculture at the river basin management

Singha, C; Sahoo, S; Govind, A; Pradhan, B; Alrawashdeh, S; Aljohani, TH; Almohamad, H; Islam, ARMT; Abdo, HG

Impacts of hydroclimate change on climate-resilient agriculture at the river basin management

Singha, C Sahoo, S Govind, A Pradhan, B

Alrawashdeh, S Aljohani, TH Almohamad, H Islam, ARMT Abdo, HG

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Publisher:: IWA Publishing
Publication Type:: Journal Article
Citation:: Journal of Water and Climate Change, 2023, 15, (1), pp. 209-232
Issue Date:: 2023-12-15

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Field	Value	Language
dc.contributor.author	Singha, C
dc.contributor.author	Sahoo, S
dc.contributor.author	Govind, A
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.author	Alrawashdeh, S
dc.contributor.author	Aljohani, TH
dc.contributor.author	Almohamad, H
dc.contributor.author	Islam, ARMT
dc.contributor.author	Abdo, HG
dc.date.accessioned	2024-05-08T23:30:34Z
dc.date.available	2024-05-08T23:30:34Z
dc.date.issued	2023-12-15
dc.identifier.citation	Journal of Water and Climate Change, 2023, 15, (1), pp. 209-232
dc.identifier.issn	2040-2244
dc.identifier.issn	2408-9354
dc.identifier.uri	http://hdl.handle.net/10453/178747
dc.description.abstract	Abstract This paper focuses on exploring the potential of Climate resilient agriculture CRA for river basin scale management Our analysis is based on long term historical and future climate and hydrological datasets within a GIS environment focusing on the Ajoy River basin in West Bengal Eastern India The standardized anomaly index SAI and slope of the linear regression SLR methods were employed to analyse the spatial pattern of the climate variables precipitation Tmax and Tmin and hydrological variables actual evapotranspiration AET runoff Q vapor pressure deficit VPD potential evapotranspiration PET and climate water deficit DEF using the TerraClimate dataset spanning from 1958 to 2020 Future climate trend analysis spanning 2021 to 2050 was conducted using the CMIP6 based GCMs MIROC6 and EC Earth3 dataset under shared socio economic pathway SSP2 4 5 SSP5 8 5 and historical For spatiotemporal water storage analysis we relied on Gravity Recovery and Climate Experiment GRACE from the Center for Space Research CSR and the Jet Propulsion Laboratory JPL data covering the period from 2002 to 2021 Validation was performed using regional groundwater level data employing various machine learning classification models Our findings revealed a negative precipitation trend approximately 0 04 mm year in the southern part whereas the northern part exhibited a positive trend approximately 0 10 mm year
dc.language	en
dc.publisher	IWA Publishing
dc.relation.ispartof	Journal of Water and Climate Change
dc.relation.isbasedon	10.2166/wcc.2023.656
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	04 Earth Sciences, 05 Environmental Sciences, 09 Engineering
dc.subject.classification	37 Earth sciences
dc.subject.classification	40 Engineering
dc.subject.classification	41 Environmental sciences
dc.title	Impacts of hydroclimate change on climate-resilient agriculture at the river basin management
dc.type	Journal Article
utslib.citation.volume	15
utslib.for	04 Earth Sciences
utslib.for	05 Environmental Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2024-05-08T23:30:33Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	15
utslib.citation.issue	1

Abstract:

Abstract This paper focuses on exploring the potential of Climate resilient agriculture CRA for river basin scale management Our analysis is based on long term historical and future climate and hydrological datasets within a GIS environment focusing on the Ajoy River basin in West Bengal Eastern India The standardized anomaly index SAI and slope of the linear regression SLR methods were employed to analyse the spatial pattern of the climate variables precipitation Tmax and Tmin and hydrological variables actual evapotranspiration AET runoff Q vapor pressure deficit VPD potential evapotranspiration PET and climate water deficit DEF using the TerraClimate dataset spanning from 1958 to 2020 Future climate trend analysis spanning 2021 to 2050 was conducted using the CMIP6 based GCMs MIROC6 and EC Earth3 dataset under shared socio economic pathway SSP2 4 5 SSP5 8 5 and historical For spatiotemporal water storage analysis we relied on Gravity Recovery and Climate Experiment GRACE from the Center for Space Research CSR and the Jet Propulsion Laboratory JPL data covering the period from 2002 to 2021 Validation was performed using regional groundwater level data employing various machine learning classification models Our findings revealed a negative precipitation trend approximately 0 04 mm year in the southern part whereas the northern part exhibited a positive trend approximately 0 10 mm year

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http://hdl.handle.net/10453/178747