Authors : Suvish S; Saravanavel J

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/9b53p9h2

Scribd : https://tinyurl.com/yj4dpyeh

DOI : https://doi.org/10.38124/ijisrt/IJISRT24NOV1244

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Flooding poses significant risks to communities and infrastructure in vulnerable regions, requiring robust assessment methods for effective mitigation. This study aims to assess flood risk in the Thamirabarani River Basin using a GIS-based Analytical Hierarchy Process (AHP) model, combined with remote sensing techniques. The model incorporates factors such as population density, proximity to rivers, slope, land use, and precipitation patterns to evaluate flood vulnerability and hazard. Sentinel-1 imagery from the European Space Agency’s Copernicus Portal was used for flood inundation analysis, detecting changes in land cover due to flooding on December 18, 2023. The findings reveal that 94 villages in Tirunelveli, Tenkasi, and Thoothukudi districts are high-risk zones, with areas near rivers and densely populated regions showing the greatest vulnerability. The combination of AHP modeling and remote sensing offers a detailed assessment of flood risk, aiding policymakers in developing targeted strategies for flood mitigation and preparedness. This research highlights the importance of integrated approaches for managing flood risks in susceptible regions.

Keywords : Flood Risk, GIS, AHP, Remote Sensing, Flood Inundation Analysis.

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