GIS-integrated AHP-driven Susceptibility Prognosis of Fluvial Inundation in a Data-scarce Basin: The Shilabati River Case with Ground-truthing by Affected Communities

Tarun Sasmal

Department of Geography, Malda Women's College, Shanti Gopal Sen Sarani, Pirojpur, Malda, PIN – 732101, India.

Uttam Bhunia *

Department of Geography, Garhbeta College, Garhbeta, Paschim Medinipur, PIN- 721127, India.

*Author to whom correspondence should be addressed.


Abstract

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Keywords: Flood susceptibility, Analytical Hierarchy Process (AHP), Geographic Information System (GIS), Shilabati River basin, weighted overlay analysis, Multi-Criteria Decision Making (MCDM), participatory validation


How to Cite

Sasmal, Tarun, and Uttam Bhunia. 2026. “GIS-Integrated AHP-Driven Susceptibility Prognosis of Fluvial Inundation in a Data-Scarce Basin: The Shilabati River Case With Ground-Truthing by Affected Communities”. Asian Journal of Geographical Research 9 (2):163-81. https://doi.org/10.9734/ajgr/2026/v9i2396.

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