PRIORITIZING FLOOD-PRONE AREAS IN WARNA BASIN, INDIA WITH ANALYTIC HIERARCHY PROCESS
DOI:
https://doi.org/10.55766/sujst-2024-06-e04451Keywords:
Analytical Hierarchy Process (AHP), Flash flood susceptibility, Floods, Remote sensing, Tropical humid climateAbstract
Flood events present intricate challenges at the intersection of human necessities and hydrological research, demanding innovative methodologies for hazard assessment and mitigation. This investigation delves into the considerable environmental threat posed by floods in the tropical, moisture-laden landscapes of the Western Ghats within the Swarna watershed, India. Employing advanced methodologies such as the Analytical Hierarchy Process (AHP) integrated within a Geographic Information System (GIS), the study endeavors to formulate a flash flood susceptibility index tailored to the Swarna watershed. Through a comprehensive approach merging remote sensing, GIS, and AHP, the research assesses eleven flood risk parameters to generate thematic maps and prioritize areas most susceptible to flash floods. Results unveil varying degrees of flash flood risk, with a notable concentration of moderate to high-risk zones identified within the Yennehole catchment area. Furthermore, validation of the Flash Flood Magnitude Index (FFMI) underscores the gravity of flash flood hazards within the Yennehole catchment, posing significant threats to assets, infrastructure, and human lives amidst these sudden-onset events. This study enhances the accessibility and resilience of water resources while contributing to the formulation of effective land use planning and flood risk mitigation strategies. The validation of identified hazard zones enhances their reliability and utility in flood control scenarios, showcasing the efficacy of interdisciplinary research in addressing pressing water-related challenges and advancing the objectives of Sustainable Water Resources Management.
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