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

Authors :
Anitabha Ghosh
Uday Chatterjee
Subodh Chandra Pal
Abu Reza Md. Towfiqul Islam
Edris Alam
Md Kamrul Islam
Source :
Geocarto International, Vol 38, Iss 1 (2023)
Publication Year :
2023
Publisher :
Taylor & Francis Group, 2023.

Abstract

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.

Details

Language :
English
ISSN :
10106049 and 17520762
Volume :
38
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Geocarto International
Publication Type :
Academic Journal
Accession number :
edsdoj.9e81abdfa4da42f3b2199fbf72391a5b
Document Type :
article
Full Text :
https://doi.org/10.1080/10106049.2023.2285355