GIS and AHP-based flood susceptibility mapping: a case study of Bangladesh

Autor: Kader, Zarjes, Islam, Md. Rabiul, Aziz, Md. Tareq, Hossain, Md. Monowar, Islam, Md. Rakibul, Miah, Manik, Jaafar, Wan Zurina Wan
Zdroj: Sustainable Water Resources Management; October 2024, Vol. 10 Issue: 5
Abstrakt: Bangladesh, situated within the vast Bengal Delta, faces a significant challenge due to its low-lying and flat topography: frequent and devastating floods. Acknowledging the influence of physical elements on flood events, flood susceptibility assessment emerges as a critical tool for establishing effective and sustainable flood mitigation strategies. This study endeavors to delineate flood-prone zones within Bangladesh by employing a multi-criteria decision analysis (MCDA) framework that integrates Geographic Information Systems (GIS) with the Analytical Hierarchy Process (AHP), a well-established approach in this field. Eight flood-influencing factors were considered in this study: elevation, slope, drainage density, rainfall, distance to the river, flow accumulation, curve number, and permeability. These factors represent physical elements and derivatives of the morphological, hydrological, meteorological, and hydrographical characteristics of the study area. Following their necessary processing, weights were assigned to each factor based on the Analytic Hierarchy Process (AHP). Subsequently, geospatial analysis was conducted within the GIS interface. Flood-prone zones were categorized into five susceptibility classes: very high, high, moderate, low, and very low. Elevation emerged as the key factor, with a comparatively higher influence on flood occurrence compared to the other factors. The study revealed that 16.03% of Bangladesh falls within the very high susceptibility class, while 42.78%, 25.78%, 7.62%, and 7.74% fall within the high, moderate, low, and very low susceptibility classes, respectively.
Databáze: Supplemental Index