Flood Risk Assessment Based on Fuzzy Synthetic Evaluation Method in the Beijing-Tianjin-Hebei Metropolitan Area, China
Open Access
- 15 February 2020
- journal article
- research article
- Published by MDPI AG in Sustainability
- Vol. 12 (4), 1451
- https://doi.org/10.3390/su12041451
Abstract
Flooding is one of the most devastating natural events and leads to enormous and recurring loss of life, properties, and resources around the globe. With climate change and accelerating urbanization, flood disasters in China have increasingly affected the sustainable development of metropolitan areas. Risk assessment is an essential step in flood management and disaster mitigation, which provide a quantitative measure of flood risk. However, the difficulty of flood risk zoning is dealing with the uncertainty of the evaluation process and the complicated non-linear relationship between indicators and risk levels. To address this issue, a fuzzy synthetic evaluation (FSE) method based on combined weight (CW) was utilized in this paper to generate flood risk maps at a grid-scale (1 × 1 km). For the case study in the Beijing-Tianjin-Hebei metropolitan area (BTH) in China, fourteen indicators were selected to construct the flood risk assessment model based on the FSE approach integrated with ArcGIS. The research demonstrates that moderate, high, and very high risk zones are distributed in the southeast fluvial plain of the BTH area, accounting for 31.36% of the total land area. Meanwhile, low and very-low risk zones occupy 68.64% of the total land area, and are primarily located in the high plateau and mountain regions in the northwest. We analyzed the risk level of each county and proposed risk mitigation measures based on field investigations. The verified risk assessment results were spatially consistent with the historical flood disaster records and loss positions, indicating the accuracy and reliability of the risk assessment map using the FSE approach. Compared with the IPCC (Intergovernmental Panel on Climate Change) TAR (Third Assessment Report) and AR5 (Fifth Assessment Report) methods, FSE has significant advantages in handling uncertainty, complexity, and the non-linear relationship between indices and risk grades. This study provides a novel quantitative method for flood risk assessment in metropolitan areas and practical implications for urban flood management.Funding Information
- National Key Research and Development Project (2017YFC1503000)
This publication has 44 references indexed in Scilit:
- Evaluation of Version-7 TRMM Multi-Satellite Precipitation Analysis Product during the Beijing Extreme Heavy Rainfall Event of 21 July 2012Water, 2013
- A localized disaster-resilience index to assess coastal communities based on an analytic hierarchy process (AHP)International Journal of Disaster Risk Reduction, 2013
- Fuzzy approach to analysis of flood risk based on variable fuzzy sets and improved information diffusion methodsNatural Hazards and Earth System Sciences, 2013
- Research on flood risk analysis and evaluation method based on variable fuzzy sets and information diffusionSafety Science, 2012
- Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHPStochastic Environmental Research and Risk Assessment, 2012
- Integrating remote sensing data with flood inundation models: how far have we got?Hydrological Processes, 2012
- Flood‐related disaster vulnerability: an impending crisis of megacities in AsiaJournal of Flood Risk Management, 2010
- Land Use Scenario Modeling for Flood Risk MitigationSustainability, 2010
- Risk assessment and validation of flood disaster based on fuzzy mathematicsProgress in Natural Science: Materials International, 2009
- National-scale Assessment of Current and Future Flood Risk in England and WalesNatural Hazards, 2005