Scholarlink

<p>Flooding, a major natural disaster, poses a significant threat to human life, property, and economic stability. This study aims to identify areas within a designated study area susceptible to flooding through a robust multi-criteria decision-making (MCDM) approach. The methodology integrates geographical information systems (GIS) and the analytical hierarchical process (AHP) to analyze and assess flood vulnerability comprehensively. Ten distinct flood-causative factors are employed, including elevation, topographic wetness index, land use/land cover, slope, soil type, proximity to rivers and roads, normalized difference vegetation index (NDVI), drainage density, and precipitation. These factors are weighted using AHP to reflect their relative significance in contributing to flood risk. Subsequently, GIS techniques are utilized to generate individual flood susceptibility maps for each factor. Integrating these individual maps using a weighted linear combination based on their AHP-derived weights results in a comprehensive flood vulnerability map. This map is further classified into five risk categories: very low, low, moderate, high, and very high. Analysis reveals that 39.31 km<sup>2</sup> (11.79%) of the study area falls under the very low-risk category, while very high-risk areas encompass 536.70 km<sup>2</sup> (15.74%). The findings of this study are crucial for informing and implementing viable flood mitigation strategies and disaster preparedness measures, ultimately aiding relevant authorities in prioritizing efforts and minimizing potential losses.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

GIS-based AHP approach to flood susceptibility assessment in Tangail district, Bangladesh

  • 期刊论文

  • 发表日期：

    2025年1月24日

查看全文
  • Rifat Sharker,
  • Md Rabiul Islam,
  • Md Biplob Hosen,
  • Zarjes Kader,
  • Md Tareq Aziz,
  • Umme Tahera-Tun-Humayra,
  • Md Amzad Hossain,
  • Rokshana Pervin,
  • Mahmudul Hasan,
  • Arun Roy

摘要

Flooding, a major natural disaster, poses a significant threat to human life, property, and economic stability. This study aims to identify areas within a designated study area susceptible to flooding through a robust multi-criteria decision-making (MCDM) approach. The methodology integrates geographical information systems (GIS) and the analytical hierarchical process (AHP) to analyze and assess flood vulnerability comprehensively. Ten distinct flood-causative factors are employed, including elevation, topographic wetness index, land use/land cover, slope, soil type, proximity to rivers and roads, normalized difference vegetation index (NDVI), drainage density, and precipitation. These factors are weighted using AHP to reflect their relative significance in contributing to flood risk. Subsequently, GIS techniques are utilized to generate individual flood susceptibility maps for each factor. Integrating these individual maps using a weighted linear combination based on their AHP-derived weights results in a comprehensive flood vulnerability map. This map is further classified into five risk categories: very low, low, moderate, high, and very high. Analysis reveals that 39.31 km2 (11.79%) of the study area falls under the very low-risk category, while very high-risk areas encompass 536.70 km2 (15.74%). The findings of this study are crucial for informing and implementing viable flood mitigation strategies and disaster preparedness measures, ultimately aiding relevant authorities in prioritizing efforts and minimizing potential losses.