Abstract
The present investigation delineates groundwater potential zones (GPZ) in the Jhargram district through an integrated approach employing analytical hierarchical process (AHP), remote sensing, and geographical information systems (GIS). Twelve parameters were utilized for GPZ analysis based on the Groundwater Potential Index, subsequent to multicollinearity testing. Classification of GPZ yielded five distinct categories: very poor, poor, moderate, good, and very good. Validation through receiver operating characteristics (ROC) and cross-validation with borewell yield data affirmed prediction accuracies of 78.4% and 84%, respectively. Spatial distribution analysis revealed that 30.39%, 30.86%, and 13.19% of the surveyed area fell within the poor, moderate, and good potentiality zones, respectively, whereas 15.86% and 9.69% were categorized as very poor and very good GPZs. Sensitivity analysis highlighted the significance of geology, elevation, geomorphology, slope, and lineament density as influencing parameters; elimination of any single parameter engendered significant alterations in the GPZ classification. The investigation culminated in the formulation of a block-wise sustainable groundwater management blueprint designed to inform policy initiatives.
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Acknowledgements
The authors express gratitude to Dr. Abhay Krishna Singh and Dr. Devi Datt Chauniyal for their constructive and insightful comments, which have significantly improved the manuscript. The first author extends thanks to Dr. Jayanta Das (Assistant Professor) for technical assistance in executing the study's statistical analysis. Acknowledgment is also directed to the Regional Director of the Central Ground Water Board, Eastern Region, Kolkata, India-WRIS, and the West Bengal Irrigation Department for supplying requisite data without charge. Special thanks from the first author are conveyed to Mousumi Ghorai for conceptual contributions to the present investigation. Appreciation is extended to a collective including Mr. Rakeshbiswa Sharma, Miss Papiya Barman, Dr. Satyapriya Mahato, and Mr. Sandeep Ghosh for their invaluable suggestions, information, and consistent motivational support throughout the study. Lastly, gratitude is expressed to the editor and anonymous reviewers for their constructive criticisms and suggestions.
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Rajkumar Guria: Conceptualization, Writing—original draft, Software, Visualization; Manoranjan Mishra: Writing—review & editing; Surajit Dutta: Supervision, Writing—review & editing, Software; Celso Augusto Guimarães Santos: Visualization; Writing—review & editing; Richarde Marques da Silva: Writing—review & editing.
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Guria, R., Mishra, M., Dutta, S. et al. Remote sensing, GIS, and analytic hierarchy process-based delineation and sustainable management of potential groundwater zones: a case study of Jhargram district, West Bengal, India. Environ Monit Assess 196, 95 (2024). https://doi.org/10.1007/s10661-023-12205-6
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DOI: https://doi.org/10.1007/s10661-023-12205-6