Evaluating the impact of land use uncertainty on the simulated streamflow and sediment yield of the Seyhan River basin using the SWAT model

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dc.authoridElsadek, Ashraf/0000-0001-6259-8413
dc.authoridIRVEM, AHMET/0000-0002-3838-1924
dc.contributor.authorEl-Sadek, Ashraf
dc.contributor.authorIrvem, Ahmet
dc.date.accessioned2024-09-18T20:13:21Z
dc.date.available2024-09-18T20:13:21Z
dc.date.issued2014
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractAs a result of the increased availability of spatial information in watershed modeling, several easy to use and widely accessible spatial datasets have been developed. Yet, it is not easy to decide which source of data is better and how data from different sources affect model outcomes. In this study, the results of simulating the stream flow and sediment yield from the Seyhan River basin in Turkey using 3 different types of land cover datasets through the soil and water assessment tool (SWAT) model are discussed and compared to the observed data. The 3 land cover datasets used include the coordination of information on the environment dataset (CORINE; CLC2006), the global land cover characterization (GLCC) dataset, and the GlobCover dataset. Streamflow and sediment calibration was done at monthly intervals for the period of 2001-2007 at gauge number 1818 (30 km upstream of the Catalan dam). The model simulation of monthly streamflow resulted in good Nash-Sutcliffe efficiency (NSE) values of 0.73, 0.71, and 0.68 for the GLCC, GlobCover, and CORINE datasets, respectively, for the calibration period. Furthermore, the model simulated the monthly sediment yield with satisfactory NSE values of 0.48, 0.51, and 0.46 for the GLCC, GlobCover, and CORINE land cover datasets, respectively. The results suggest that the sensitivity of the SWAT model to the land cover datasets with different spatial resolutions and from different time periods was very low in the monthly streamflow and sediment simulations from the Seyhan River basin. The study concluded that these datasets can be used successfully in the prediction of streamflow and sediment yield.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey Department of Science Fellowships; Grant Programs (TUBITAK-BIDEB)en_US
dc.description.sponsorshipThis research was financially supported by a postdoctoral research fellowship from the Scientific and Technological Research Council of Turkey Department of Science Fellowships and Grant Programs (TUBITAK-BIDEB). Special thanks go to Max Bleiweiss (Director of the Center for Applied Remote Sensing in Agriculture, Meteorology, and Environment (CARSAME) and Agricultural Research Scientist at the Department of Entomology, Plant Pathology and Weed Science, New Mexico State University) for his valuable suggestions and help with the editorial revision of the language of the article.en_US
dc.identifier.doi10.3906/tar-1309-89
dc.identifier.endpage530en_US
dc.identifier.issn1300-011X
dc.identifier.issn1303-6173
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84901197465en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage515en_US
dc.identifier.urihttps://doi.org/10.3906/tar-1309-89
dc.identifier.urihttps://hdl.handle.net/20.500.12483/9110
dc.identifier.volume38en_US
dc.identifier.wosWOS:000336245400011en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTubitak Scientific & Technological Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal of Agriculture and Forestryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCORINEen_US
dc.subjectGLCCen_US
dc.subjectGlobCoveren_US
dc.subjectsedimenten_US
dc.subjectSeyhan Riveren_US
dc.subjectSWATen_US
dc.titleEvaluating the impact of land use uncertainty on the simulated streamflow and sediment yield of the Seyhan River basin using the SWAT modelen_US
dc.typeArticleen_US

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