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Application of TOPSIS method for flood susceptibility mapping using Excel and GIS
Rajib Mitra1, Jayanta Das2, Md Kamruzzaman3
1Department of Geography and Applied Geography, University of North Bengal, PO- North Bengal University, Darjeeling 734013, India.
Methodsx
|July 7, 2023
Summary
This study simplifies the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) multicriteria decision-making (MCDM) approach. The enhanced method aids in objective decision-making and flood susceptibility mapping.
Area of Science:
- Decision Science
- Geographic Information Systems (GIS)
- Environmental Science
Background:
- Multicriteria decision-making (MCDM) methods offer objective evaluations by minimizing human bias.
- The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a key MCDM approach.
- Assessing flood susceptibility requires robust decision-making tools.
Purpose of the Study:
- To present a simplified Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) multicriteria decision-making (MCDM) approach.
- To determine disparities between positive and negative ideal solutions in decision-making.
- To develop a flood susceptibility map for a vulnerable region using an integrated MCDM-GIS methodology.
Main Methods:
- The study adapted the simplified TOPSIS methodology (Hwang and Yoon, 1981).
- Criteria were categorized and weighted based on expert opinion and literature review.
- The TOPSIS technique was integrated with Geographic Information Systems (GIS) for spatial analysis.
Main Results:
- The simplified TOPSIS approach effectively quantifies the distance from ideal solutions.
- The integration with GIS produced a visual flood susceptibility map.
- The methodology proved efficient, saving time for specialized personnel.
Conclusions:
- The simplified TOPSIS MCDM approach provides a transparent and objective decision-making framework.
- Integrating TOPSIS with GIS is effective for creating flood susceptibility maps.
- This approach enhances the efficiency of environmental risk assessment.
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