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Integrated flood hazard assessment based on spatial ordered weighted averaging method considering spatial
Yangfan Xiao1, Shanzhen Yi1, Zhongqian Tang1
1College of Hydropower and Information Engineering, Huazhong University of Science and Technology, NO. 1037, Luoyu Road, Wuhan 430074, China.
The Science of the Total Environment
|May 18, 2017
Summary
This study developed a novel flood hazard assessment framework using multi-criteria analysis (MCA), geographic information system (GIS), fuzzy analytic hierarchy process (AHP), and spatial ordered weighted averaging (OWA). The method effectively identifies high-risk flood zones, guiding targeted mitigation efforts.
Area of Science:
- Environmental Science
- Geospatial Analysis
- Risk Management
Background:
- Floods are the most frequent global natural hazard, causing significant loss of life and property.
- Accurate flood hazard assessment is crucial for effective watershed management and loss reduction.
Purpose of the Study:
- To develop an integrated framework for flood hazard assessment using multi-criteria analysis (MCA).
- To incorporate geographic information system (GIS), fuzzy analytic hierarchy process (AHP), and spatial ordered weighted averaging (OWA) for enhanced accuracy.
- To account for spatial heterogeneity in decision-maker risk preferences.
Main Methods:
- A framework combining GIS, fuzzy AHP for criteria weighting, and spatial OWA for integrating factors.
- Evaluation criteria included geographical, hydrological, and flood-resistant basin characteristics.
- Spatially variable risk preference was implemented within the GIS environment.
Main Results:
- The methodology was applied to Wuhan, China, identifying high-risk areas, particularly in populated and developed zones.
- Flood hazard distribution showed a tendency towards populated areas, with specific attention to the northeast of Hanyang city.
- Results indicated priority areas for flood mitigation projects, optimizing resource allocation.
Conclusions:
- The developed flood hazard assessment method is adaptable for similar basins.
- It provides significant insights for developing countermeasures to mitigate life and property losses.
- The approach effectively considers spatial heterogeneity in risk assessment.
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