Scholarlink

<p>Mumbai, a millennium-old city situated on the west coast of India, is one of the most vulnerable cities in contemporary India and faces multifaceted challenges related to climate change. In the past two decades, annual flood events have become more frequent and severe in Mumbai, which in turn affects the livelihood strategies of the urban inhabitants during the monsoon months. This study has been objectively conducted to assess the vulnerability aspects of urban flooding and its impact on livelihood in Mumbai. A total of 263 samples have been taken from four different study locations in order to better assess the specific vulnerability dimensions of flooding in the city district (Dharavi, Colaba) and sub-urban district (Bandra, Chembur) based on the degree of vulnerability in the study area. This was done through a household survey using the random sampling technique. The Livelihood Vulnerability Index (LVI) has been used to aggregate the data, and the differential vulnerabilities of the two districts were compared. The LVI has been evaluated using nine major components (socio-demographic profile, flood exposure, livelihood, health, education, transportation, amenity, social network, and security indicators) and 32 subcomponents. The three contributing factors—exposure, sensitivity, and adaptive capacity have been integrated to estimate the LVI-IPCC. The study finds that Dharavi and Bandra are severe vulnerable (LVI score is 0.610, 0.518, and LVI-IPCC score is 0.0708, 0.0148); Colaba and Chembur are moderate to high vulnerable (LVI score is 0.456, 0.463, and LVI-IPCC score is − 0.0063, − 0.0116) to climate change. The foremost reasons behind severe vulnerability in Dharavi and Bandra are greater exposure to overflow of the Mithi River in the monsoon season, inadequate and improper management of drainage systems, higher sensitivity to improper access to livelihood strategies, health, education, transportation, and amenity services, and finally lower adaptive capacity in terms of poor socio-demographic profile, social networks, and security indicators. The results of this study and this pragmatic approach will help to formulate specific strategies and improve policy effectiveness in order to reduce the vulnerability of households to climate change.</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

Quantitative assessment of urban flood vulnerability using the Livelihood Vulnerability Index approach in the westernmost coastal metropolis of Mumbai, India

  • 期刊论文

  • 发表日期：

    2026年2月19日

查看全文
  • Rohit Mann,
  • Neha Khajuria,
  • Deepak Saini,
  • Anju Gupta,
  • Amit Dhorde,
  • Akshay Yadav,
  • Somvir Gill

摘要

Mumbai, a millennium-old city situated on the west coast of India, is one of the most vulnerable cities in contemporary India and faces multifaceted challenges related to climate change. In the past two decades, annual flood events have become more frequent and severe in Mumbai, which in turn affects the livelihood strategies of the urban inhabitants during the monsoon months. This study has been objectively conducted to assess the vulnerability aspects of urban flooding and its impact on livelihood in Mumbai. A total of 263 samples have been taken from four different study locations in order to better assess the specific vulnerability dimensions of flooding in the city district (Dharavi, Colaba) and sub-urban district (Bandra, Chembur) based on the degree of vulnerability in the study area. This was done through a household survey using the random sampling technique. The Livelihood Vulnerability Index (LVI) has been used to aggregate the data, and the differential vulnerabilities of the two districts were compared. The LVI has been evaluated using nine major components (socio-demographic profile, flood exposure, livelihood, health, education, transportation, amenity, social network, and security indicators) and 32 subcomponents. The three contributing factors—exposure, sensitivity, and adaptive capacity have been integrated to estimate the LVI-IPCC. The study finds that Dharavi and Bandra are severe vulnerable (LVI score is 0.610, 0.518, and LVI-IPCC score is 0.0708, 0.0148); Colaba and Chembur are moderate to high vulnerable (LVI score is 0.456, 0.463, and LVI-IPCC score is − 0.0063, − 0.0116) to climate change. The foremost reasons behind severe vulnerability in Dharavi and Bandra are greater exposure to overflow of the Mithi River in the monsoon season, inadequate and improper management of drainage systems, higher sensitivity to improper access to livelihood strategies, health, education, transportation, and amenity services, and finally lower adaptive capacity in terms of poor socio-demographic profile, social networks, and security indicators. The results of this study and this pragmatic approach will help to formulate specific strategies and improve policy effectiveness in order to reduce the vulnerability of households to climate change.