A new technique to map groundwater recharge in irrigated areas using a SWAT model under changing climate

cg.contactu.k.awan@cgiar.orgen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Water Management Institute - IWMIen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.countryPKen_US
cg.coverage.regionSouthern Asiaen_US
cg.creator.idAwan, Usman: 0000-0001-8663-5688en_US
cg.date.embargo-end-date2114-09-06en_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.jhydrol.2014.08.049en_US
cg.isijournalISI Journalen_US
cg.issn0022-1694en_US
cg.issuePart Ben_US
cg.journalJournal of Hydrologyen_US
cg.volume519en_US
dc.contributorIsmaeel, Alien_US
dc.creatorAwan, Usmanen_US
dc.date.accessioned2018-03-04T10:46:34Z
dc.date.available2018-03-04T10:46:34Z
dc.description.abstractThe Lower Chenab canal irrigation scheme, the largest irrigation scheme of the Indus Basin irrigation system was selected for an estimate of groundwater recharge using the soil and water assessment tool (SWAT) at high spatial and temporal resolution under changing climate. Groundwater recharge was simulated using the SWAT model for representative concentration pathways (RCP) 4.5 and 8.5 climate change scenarios for the period 2012–2020. Actual evapotranspiration (ETa) was estimated using the SWAT model for the period 2010–2011. This was compared with the ETa determined using the surface energy balance algorithm (SEBAL) calibrated using data for the period 2005–2009. We concluded that the SWAT ETa estimates showed good agreement with those of SEBAL (coefficient of determination = 0.85 ± 0.05, Nash–Sutcliffe efficiency = 0.83 ± 0.07). The total average annual groundwater recharge to the aquifer was 537 mm (±55 mm) with the maximum occurring during July (151 mm). The results showed that groundwater recharge would increase by 40%, as compared to the reference period, by the end of 2020 under RCP 4.5 and by 37% under RCP 8.5. The SWAT can thus be a handy tool for not only estimating the recharge at high spatial and temporal resolution but also under changing climate.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationUsman Awan, Ali Ismaeel. (27/11/2014). A new technique to map groundwater recharge in irrigated areas using a SWAT model under changing climate. Journal of Hydrology, 519 (Part B), pp. 1368-1382.en_US
dc.identifier.statusLimited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7966
dc.languageenen_US
dc.publisherElsevieren_US
dc.sourceJournal of Hydrology;519,(2014) Pagination 1368-1382en_US
dc.subjectcanal command areaen_US
dc.subjectsurface energy balance algorithm (sebal)en_US
dc.subjectindus basin irrigation systemen_US
dc.subjectsoil and water assessment tool (swat)en_US
dc.subjectactual evapotranspirationen_US
dc.titleA new technique to map groundwater recharge in irrigated areas using a SWAT model under changing climateen_US
dc.typeJournal Articleen_US
dcterms.available2014-09-06en_US
dcterms.extent1368-1382en_US
dcterms.issued2014-11-27en_US
mel.impact-factor3.483en_US

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