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dc.contributor.authorKarakuş, Can Bülent
dc.date.accessioned2024-03-04T13:24:53Z
dc.date.available2024-03-04T13:24:53Z
dc.date.issued2023tr
dc.identifier.urihttps://hdl.handle.net/20.500.12418/14623
dc.description.abstractIn this study, the most suitable areas in terms of groundwater potential within the borders of the adjacent area of Sivas Municipality (Sivas/Turkey) were determined with the help of Geographic Information System (GIS)-based Best–Worst Method (BWM) and Step-Wise Weight Assessment Ratio Analysis (SWARA) methods. Slope, drainage density, Topographic Position Index (TPI), lineament density, lithology, soil types, land use, geomorphology, and rainfall criteria were selected to determine groundwater potential areas. These criteria were weighted with the help of BWM, SWARA, and BWM-SWARA methods and the Groundwater Potential Index (GPI) was calculated according to the weighted linear combination method. According to the calculated GPI values, the groundwater potential of the study area was represented as “excellent,” “very good,” “good,” “moderately good,” “low,” and “very low.” According to all three methods, areas in the “excellent” class constituted 10.99%, 8.40%, and 11.16% of the study area, respectively, while areas in the “very low” class covered 8.33%, 7.98%, and 9.04% of the study area, respectively. The linear correlation coefcient (R2 ) values of the BWM, SWARA, and BWM-SWARA methods were calculated as 0.80, 0.82, and 0.75, respectively, while the area under the curve (AUC) values were determined as 0.83, 0.79, and 0.81, respectively. These results showed that the accuracy of the model was “very good” overall. As a result, groundwater potential mapping created for the study area will contribute to better development of groundwater resources and water management planning.tr
dc.publisherSpringertr
dc.rightsinfo:eu-repo/semantics/openAccesstr
dc.subjectGroundwater potential mapping · BWM · SWARA · GIStr
dc.titleGroundwater potential assessment based on GIS‑based Best–Worst Method (BWM) and Step‑Wise Weight Assessment Ratio Analysis (SWARA) Methodtr
dc.typearticletr
dc.relation.journalEnvironmental Science and Pollution Researchtr
dc.contributor.departmentMimarlık Güzel Sanatlar ve Tasarım Fakültesitr
dc.contributor.authorID0000-0002-7373-9960tr
dc.identifier.volume30tr
dc.identifier.endpage31880tr
dc.identifier.startpage31851tr
dc.relation.publicationcategoryUluslararası Editör Denetimli Dergide Makaletr


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