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A systematic review of the flood vulnerability using geographic information system
Shiau Wei Chan1, Sheikh Kamran Abid1, Noralfishah Sulaiman1
1Faculty of Technology Management and Business (FPTP), Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia.
Heliyon
|March 14, 2022
Summary
Flood vulnerability assessment is crucial for disaster management, especially in Asia. Integrating high-resolution data with multidimensional methods and geographic information systems (GIS) improves flood risk assessment and mitigation strategies.
Area of Science:
- Environmental Science
- Disaster Management
- Geographic Information Science
Background:
- Floods cause significant global destruction, particularly in Asia, leading to loss of life and infrastructure damage.
- Effective flood hazard management necessitates a thorough understanding of flood vulnerability.
- Geographic Information Systems (GIS) are vital tools for tracking disaster trends and mitigating risks.
Purpose of the Study:
- To systematically review methodologies for assessing flood vulnerability using Geographic Information Systems (GIS).
- To identify shortcomings in current flood vulnerability assessment approaches.
- To propose an integrated approach for enhanced flood risk assessment.
Main Methods:
- Systematic literature review of flood vulnerability assessment articles from 2010-2020.
- Analysis of various vulnerability assessment tools and techniques.
- Examination of GIS integration in flood vulnerability studies.
Main Results:
- A significant variation exists in current flood vulnerability assessment tools and techniques.
- The indicator-based approach offers a superior understanding of vulnerability.
- GIS provides an effective platform for mapping and precise analysis in flood mitigation.
Conclusions:
- Integrating high-resolution data with multidimensional vulnerability methodologies can bridge existing gaps.
- GIS is instrumental in enhancing flood vulnerability mapping and analysis.
- Improved flood vulnerability assessment is key to effective disaster risk reduction.
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