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Abstract <p>Groundwater is a vital freshwater resource increasingly threatened by overexploitation and climate variability. This study delineates groundwater potential zones (GWPZ) within the Chokranala watershed Raipur, Chhattisgarh, India using an integrated RS–GIS and Analytical Network Process (ANP) approach. Nine thematic layers-slope, soil, drainage density, rainfall, lineament density, land use/land cover, lithology, geomorphology, and average water level were weighted and overlaid to derive a composite groundwater potential assessment. The analysis classified the basin into five potential zones: Very Low, Low, Moderate, High, and Very High. Moderate and High potential zones dominate more than 52% of the watershed, indicating favourable recharge conditions, Low potential zones occupy 24.7% while Very Low and Very High zones occupy approximately 10% and 12%, respectively. Validation using ten well-yield observations (0.14–10 L/s) showed an overall 60% agreement between predicted potential and observed yield, confirming a moderate correlation. The approach effectively identifies recharge-prone areas and highlights priority zones for conservation. Overall, the RS-GIS-ANP framework demonstrates strong potential for sustainable groundwater assessment and management in data-scarce regions.</p> Research Highlights <p><UnorderedList Mark="Bullet"> <ItemContent> <p>An integrated RS–GIS–ANP framework was developed for groundwater potential mapping.</p> </ItemContent> <ItemContent> <p>Nine interdependent hydrogeological and environmental factors were analyzed using ANP.</p> </ItemContent> <ItemContent> <p>Validation with borewell yields shows 60% agreement with predicted potential zones.</p> </ItemContent> </UnorderedList></p>

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An integrated framework of Geographic Information System and Analytic Network Process (GIS–ANP) for groundwater potential assessment in urban–industrial watersheds

  • 期刊论文

  • 发表日期：

    2026年5月25日

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  • Priyanka Arya,
  • D C Jhariya,
  • Chandan K Singh,
  • N Vishwakarma,
  • Mridu Sahu

摘要

Abstract

Groundwater is a vital freshwater resource increasingly threatened by overexploitation and climate variability. This study delineates groundwater potential zones (GWPZ) within the Chokranala watershed Raipur, Chhattisgarh, India using an integrated RS–GIS and Analytical Network Process (ANP) approach. Nine thematic layers-slope, soil, drainage density, rainfall, lineament density, land use/land cover, lithology, geomorphology, and average water level were weighted and overlaid to derive a composite groundwater potential assessment. The analysis classified the basin into five potential zones: Very Low, Low, Moderate, High, and Very High. Moderate and High potential zones dominate more than 52% of the watershed, indicating favourable recharge conditions, Low potential zones occupy 24.7% while Very Low and Very High zones occupy approximately 10% and 12%, respectively. Validation using ten well-yield observations (0.14–10 L/s) showed an overall 60% agreement between predicted potential and observed yield, confirming a moderate correlation. The approach effectively identifies recharge-prone areas and highlights priority zones for conservation. Overall, the RS-GIS-ANP framework demonstrates strong potential for sustainable groundwater assessment and management in data-scarce regions.

Research Highlights

An integrated RS–GIS–ANP framework was developed for groundwater potential mapping.

Nine interdependent hydrogeological and environmental factors were analyzed using ANP.

Validation with borewell yields shows 60% agreement with predicted potential zones.