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<p>The global water shortage highlights the importance of groundwater as a vital freshwater source, though its distribution is influenced by various surface and subsurface factors. This study investigates the Bankura Sadar Subdivision in West Bengal, covering 2598 sq. km, to identify groundwater potential zones (GWPZs) using GIS-based techniques. The region faces groundwater stress, with declining levels in certain areas, particularly as it is located in a semi-arid region. Twenty-one parameters, including groundwater depth, elevation, slope, geology, geomorphology, drainage density, land use and land cover, long-term average annual rainfall etc. were analysed using two Multi-Criteria Decision Analysis (MCDA) models: the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Combined Compromise Solution (CoCoSo). TOPSIS was chosen for its ability to rank multiple alternatives based on conflicting criteria, while CoCoSo provided an alternative aggregation approach. TOPSIS classified the region into five zones: very low, low, moderate, high and very high groundwater potentiality, covering 2.43%, 16.81%, 35.70%, 26.40% and 18.66%, respectively. The CoCoSo model categorized the area similarly, covering 9.34%, 21.02%, 27.08%, 25.60% and 16.95%. The classification of groundwater potential zones in this study utilized the Natural Break (Jenks) method within the GIS platform. Validation using groundwater depth data confirmed accuracy through ROC curves, with AUC values of 81% for TOPSIS and 71% for CoCoSo. TOPSIS was found to be more effective in assessing GWPZs. These findings are essential for hydrogeological studies and groundwater resource management.</p>

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Identification of Groundwater Potential Zones in North-Western Bankura, West Bengal, India, Using GIS Based MCDA Techniques TOPSIS and CoCoSo

  • 期刊论文

  • 发表日期：

    2025年12月9日

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  • Sumit Kar,
  • Bikul Barman,
  • Jayanta Das

摘要

The global water shortage highlights the importance of groundwater as a vital freshwater source, though its distribution is influenced by various surface and subsurface factors. This study investigates the Bankura Sadar Subdivision in West Bengal, covering 2598 sq. km, to identify groundwater potential zones (GWPZs) using GIS-based techniques. The region faces groundwater stress, with declining levels in certain areas, particularly as it is located in a semi-arid region. Twenty-one parameters, including groundwater depth, elevation, slope, geology, geomorphology, drainage density, land use and land cover, long-term average annual rainfall etc. were analysed using two Multi-Criteria Decision Analysis (MCDA) models: the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Combined Compromise Solution (CoCoSo). TOPSIS was chosen for its ability to rank multiple alternatives based on conflicting criteria, while CoCoSo provided an alternative aggregation approach. TOPSIS classified the region into five zones: very low, low, moderate, high and very high groundwater potentiality, covering 2.43%, 16.81%, 35.70%, 26.40% and 18.66%, respectively. The CoCoSo model categorized the area similarly, covering 9.34%, 21.02%, 27.08%, 25.60% and 16.95%. The classification of groundwater potential zones in this study utilized the Natural Break (Jenks) method within the GIS platform. Validation using groundwater depth data confirmed accuracy through ROC curves, with AUC values of 81% for TOPSIS and 71% for CoCoSo. TOPSIS was found to be more effective in assessing GWPZs. These findings are essential for hydrogeological studies and groundwater resource management.