Groundwater potential assessment based on GIS-based Best–Worst Method (BWM) and Step-Wise Weight Assessment Ratio Analysis (SWARA) Method


KARAKUŞ C. B.

Environmental Science and Pollution Research, cilt.30, sa.11, ss.31851-31880, 2023 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 11
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11356-022-24425-3
  • Dergi Adı: Environmental Science and Pollution Research
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.31851-31880
  • Anahtar Kelimeler: Groundwater potential mapping, BWM, SWARA, GIS
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.In 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 coefficient (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.