Geocarto International (Dec 2023)

Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment

  • Anitabha Ghosh,
  • Uday Chatterjee,
  • Subodh Chandra Pal,
  • Abu Reza Md. Towfiqul Islam,
  • Edris Alam,
  • Md Kamrul Islam

DOI
https://doi.org/10.1080/10106049.2023.2285355
Journal volume & issue
Vol. 38, no. 1

Abstract

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AbstractFloods are a recurrent natural calamity that presents substantial hazards to human lives and infrastructure. The study indicates that a significant proportion of the study area, specifically 27.05%, is classified as a moderate flood risk zone (FRZ), while 20.78% is designated as high or very high FRZ. The region’s low and very low FRZ are classified at 52.17%. The GIS-based AHP model demonstrated exceptional predictive precision, achieving a score of 0.749 (74.90%) as determined by the AUC-ROC, a widely used statistical evaluation tool. The current study has identified areas with high FRZ in the affected CD blocks, which are situated in low-lying flood plains, regions with gentle slopes, high drainage density, high TWI, low NDVI, high MNDWI, areas with high population density, intensive agricultural land. The findings of this research offer significant perspectives for decision-makers, city planners, and emergency management agencies in devising efficient measures to mitigate flood risks.

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