Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia

cg.contributor.affiliationInternational Center for Agricultural Research in the Dry Areasen_US
cg.contributor.affiliationUniversity of Kielen_US
cg.contributor.affiliationAssosa Universityen_US
cg.contributor.affiliationBahir Dar University, Faculty of Civil and Water Resources Engineeringen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeLivestock and Climateen_US
cg.coverage.countryEthiopiaen_US
cg.coverage.iso3166-alpha2ETen_US
cg.coverage.regionEastern Africaen_US
cg.creator.identifierabeyou wale worqlul: 0000-0002-7990-8446en_US
cg.identifier.doihttps://doi.org/10.2166/nh.2024.098en_US
cg.isijournalISI Journalen_US
cg.issn1998-9563en_US
cg.issue3en_US
cg.journalHydrology Researchen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.impactAreaNutrition, health and food securityen_US
cg.subject.impactAreaGender equality, youth and social inclusionen_US
cg.subject.impactAreaEnvironmental health and biodiversityen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
cg.subject.sdgSDG 6 - Clean water and sanitationen_US
cg.subject.sdgSDG 13 - Climate actionen_US
cg.subject.sdgSDG 15 - Life on landen_US
cg.volume55en_US
dc.contributor.authorMihret, Temesgenen_US
dc.contributor.authorZimale, Fasikaw Aen_US
dc.contributor.authorAbeyou, Abeyouen_US
dc.contributor.authorD. Ayalew, Ayenewen_US
dc.contributor.authorFohrer, Nicolaen_US
dc.date.accessioned2025-01-15T15:49:37Zen_US
dc.date.available2025-01-15T15:49:37Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/169119en_US
dc.titleIdentification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopiaen_US
dcterms.abstractIdentification of hydrologically homogenous watersheds in the Upper Blue Nile Basin of Ethiopia is challenging due to the large number of watersheds and the lack of consistent and reliable data. Traditional methods, such as expert-based classification, are time-consuming, subjective, and often not reproducible. Therefore, this study aims to identify homogenous gauged watersheds using hydrometeorological and remote sensing data. In this study 76 watersheds were delineated from a 30-m digital elevation model (SRTM-DEM). Twelve watershed characteristics were selected to aid the classification process. Three homogenous climate regions were identified using rainfall data from 42 stations, and for each homogeneous climate region, gauged watersheds were identified. Principal component analysis (PCA) and K-means clustering were used for classification. The PCA reduced 12 watershed characteristics into three principal components using a threshold of 80% accounted variance and eigenvalues greater than one. K-means clustering classified the 76 watersheds into nine homogenous clusters. In the classified regions, vegetation dynamics within three decades have also been analyzed. This helped identify trends in vegetation cover and its spatial and temporal dynamics. The results of the investigation will potentially be used for runoff prediction of ungauged watersheds and for water resource management models in the future.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2024-02-13en_US
dcterms.bibliographicCitationTemesgen Mihret, Fasikaw A Zimale, Abeyou Abeyou, Ayenew D. Ayalew, Nicola Fohrer. (1/3/2024). Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia. Hydrology Research, 55 (3), pp. 280-300.en_US
dcterms.extent280-300en_US
dcterms.formatPDFen_US
dcterms.issued2024-03-01en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherIWA Publishingen_US
dcterms.subjectprincipal component analysisen_US
dcterms.subjectblue nile basinen_US
dcterms.subjecthomogeneous watershedsen_US
dcterms.subjectk-means clusteringen_US
dcterms.subjectprincipal componenten_US
dcterms.subjectremote sensing indicesen_US
dcterms.subjectvegetation dynamicsen_US
dcterms.typeJournal Articleen_US

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