Scholarlink

<p>Floods are among the most destructive natural hazards, and their impact is increasing due to population growth in vulnerable areas and climate change. The densely populated Central Valley of Manipur frequently experiences flooding during the monsoon season, significantly damaging people’s lives and livelihoods. To effectively manage flood impacts in the region, reliable flood susceptibility maps are essential for enhancing the preparedness and response capabilities of local institutions. This study presents a flood susceptibility map for the region, developed using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA). Ten factors contributing to flooding, including topography, land use, soil type, rainfall, drainage density, and proximity to rivers, were selected and weighted using the Analytical Hierarchy Process (AHP), with consistency checks performed. The findings indicate that approximately 88.51% of the Valley (1,701.82&#xa0;km<sup>2</sup>) falls under medium to high flood susceptibility, while only 11.49% (220.90&#xa0;km<sup>2</sup>) is classified as very low, low, or very high susceptibility zones. When validated against historical flood locations, the flood susceptibility model demonstrated a strong accuracy, with an Area Under the Curve (AUC) of 87.70%. The flood susceptibility map presented in this study will serve as a valuable resource for local flood managers and other stakeholders. Moreover, the methodology employed offers a practical and replicable framework for assessing flood susceptibility in areas with limited data to improve flood risk management in similar geographic contexts.</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 flood susceptibility mapping using multi-criteria decision analysis in the data-scarce central valley of Manipur, India

  • 期刊论文

  • 发表日期：

    2026年3月25日

查看全文
  • Gurumayum Nilakanta Sharma,
  • Abujam Manglem Singh

摘要

Floods are among the most destructive natural hazards, and their impact is increasing due to population growth in vulnerable areas and climate change. The densely populated Central Valley of Manipur frequently experiences flooding during the monsoon season, significantly damaging people’s lives and livelihoods. To effectively manage flood impacts in the region, reliable flood susceptibility maps are essential for enhancing the preparedness and response capabilities of local institutions. This study presents a flood susceptibility map for the region, developed using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA). Ten factors contributing to flooding, including topography, land use, soil type, rainfall, drainage density, and proximity to rivers, were selected and weighted using the Analytical Hierarchy Process (AHP), with consistency checks performed. The findings indicate that approximately 88.51% of the Valley (1,701.82 km2) falls under medium to high flood susceptibility, while only 11.49% (220.90 km2) is classified as very low, low, or very high susceptibility zones. When validated against historical flood locations, the flood susceptibility model demonstrated a strong accuracy, with an Area Under the Curve (AUC) of 87.70%. The flood susceptibility map presented in this study will serve as a valuable resource for local flood managers and other stakeholders. Moreover, the methodology employed offers a practical and replicable framework for assessing flood susceptibility in areas with limited data to improve flood risk management in similar geographic contexts.