Assessing vulnerability for inhabitants of Dhaka City considering flood-hazard exposure

Authors

  • Md. Enamul Huq State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
  • Qimin Cheng School of Electronics Information and Communications, Huazhong University of Science and Technology, Wuhan, China
  • Orhan Altan Department of Geomatics, Istanbul Technical University, Istanbul, Turkey
  • A. Z. M. Shoeb Department of Geography and Environmental Studies, University of Rajshahi, Rajshahi, Bangladesh
  • Mallik Akram Hossain Department of Geography and Environment, Jagannath University, Dhaka, Bangladesh
  • Md. Nazirul Islam Sarker School of Political Science and Public Administration, Neijiang Normal University, Sichuan, China
  • Nayyer Saleem State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
  • Akib Javed State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
  • Xiaoyi Longg School of Computer, Wuhan University, Wuhan, China
  • Ahmed Abdullah Al Dughairi Department of Geography, Faculty of Arabic Language and Social Studies, Qassim University, Qassim Burydah, Kingdom of Saudi Arabia
  • Md. Masud Parves Rana Department of Geography and Environmental Studies, University of Rajshahi, Rajshahi, Bangladesh
  • Abdullah Al Mamun Department of Mechanical Manufacturing Engineering, School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, Guangdong, China
  • Md. Mahabubur Rahman Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh

DOI:

https://doi.org/10.15233/gfz.2020.37.5

Keywords:

flood hazard, quantifying vulnerability, AHP, urban inhabitants, Bangladesh

Abstract

Global flood hazard is gradually increasing. Though it is impossible to avoid them, losses and damage of hazards (e.g., floods, cyclones, and earthquakes) could be efficiently reduced by reducing household vulnerability with appropriate measures. This study aims to quantitatively measure the household vulnerability of flood hazards as a mitigation tool. It also proposed a unique approach to quantify flood-hazard household vulnerability, and shows its application in the flood prone city of Dhaka as an example case. Data were collected from both slum and non-slum areas to cover the entire urban habitat, and to compare their level of flood vulnerability. A total of 300 households were surveyed by structured questionnaire on the basis of five factors (economic, social, environmental, structural, and institutional) of flood vulnerability. The analytical hierarchy process (AHP) was applied to measure individual household vulnerability scores by using the relative weightage of variables and indicators with proper standardisation. Analytical results demonstrated that 63.06% slum and 20.02% non-slum households were highly vulnerable to floods. In addition, this paper determined and assessed responsible factors for household flood vulnerability in Dhaka. For structural vulnerability, results exhibited that 82% of slum households were highly vulnerable, and 95.3% of non-slum households were moderately vulnerable. Socially, 67.3% of slum and 78.7% of non-slum households were moderately and low-vulnerable. The majority of slum and non-slum households (84% and 59.3%, respectively) showed high and moderate vulnerability with respect to economic vulnerability. Moreover, 69.3% of slum and 65.3% of non-slum household institutional vulnerability levels were high. Of slum inhabitants, 63.3% were environmentally at high risk, and 78% of non-slum habitats were in the low-vulnerability category. However, as an effective tool to measure location-specific vulnerability, it is applicable for the measuring vulnerability of other cities in the world with proper customisation. On the basis of this study, future research could be conducted with more factors, variables, and indicators of human vulnerability to natural or artificial hazards/disasters. Future work may provide a better reflection of the vulnerability status of single/multiple hazard(s)/disaster(s).

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Published

2020-07-31

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Section

Original scientific paper