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Metrics Assessment and Streamflow Modeling under Changing Climate in a Data-Scarce Heterogeneous Region

A Case Study of the Kabul River Basin

dc.contributor.authorAkhtar, Fazlullah
dc.contributor.authorBorgemeister, Christian
dc.contributor.authorTischbein, Bernhard
dc.contributor.authorAwan, Usman Khalid
dc.date.accessioned2023-03-31T05:03:47Z
dc.date.available2023-03-31T05:03:47Z
dc.date.issued25.05.2022
dc.identifier.urihttps://hdl.handle.net/20.500.11811/10753
dc.description.abstractDue to many uncertainties in hydrological data and modeling, the findings are frequently regarded as unreliable, especially in heterogeneous catchments such as the Kabul River Basin (KRB). Besides, statistical methods to assess the performance of the models have also been called into doubt in several studies. We evaluated the performance of the Soil and Water Assessment Tool (SWAT) model by statistical indicators including the Kling-Gupta efficiency (KGE), Nash–Sutcliffe efficiency (NSE), and the coefficient of determination (R2) at single and multi-outlets in the KRB and assessed the streamflow under changing climate scenarios i.e., Representative Concentration Pathways (RCP) 4.5 and 8.5 (2020–2045). Because of the heterogeneous nature of the KRB, NSE and R2 performed poorly at multi-outlets. However, the KGE, as the basic objective function, fared much better at single-outlet. We conclude that KGE is the most crucial metric for streamflow evaluation in heterogeneous basins. Similarly, the mean and maximum annual streamflow is projected to decrease by 15.2–15.6% and 17.2–41.8% under the RCP 4.5 and 8.5, respectively.en
dc.format.extent19
dc.language.isoeng
dc.rightsNamensnennung 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectclimate change
dc.subjectspatial heterogeneity
dc.subjectstreamflow
dc.subjectKabul River Basin
dc.subjectdata-scarcity
dc.subjectperformance metrics
dc.subject.ddc333.7 Natürliche Ressourcen, Energie und Umwelt
dc.titleMetrics Assessment and Streamflow Modeling under Changing Climate in a Data-Scarce Heterogeneous Region
dc.title.alternativeA Case Study of the Kabul River Basin
dc.typeWissenschaftlicher Artikel
dc.publisher.nameMDPI
dc.rights.accessRightsopenAccess
dcterms.bibliographicCitation.volume2022, vol. 14
dcterms.bibliographicCitation.issueiss. 11
dcterms.bibliographicCitation.pagestart1
dcterms.bibliographicCitation.pageend19
dc.relation.doihttps://doi.org/10.3390/w14111697
dcterms.bibliographicCitation.journaltitleWater
ulbbn.pubtypeZweitveröffentlichung
dc.versionpublishedVersion
ulbbn.sponsorship.oaUnifundOA-Förderung Universität Bonn


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