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Journal article
Flood risk assessment of metro stations based on the SMAA-2-FFS-H method: a case study of the "7 center dot 20'' rainstorm in Zhengzhou, China
Stochastic environmental research and risk assessment
23 Mar 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Motivated by the realistic demand of reducing the flood risk of urban metro stations, this paper proposes an innovative research framework for flood risk assessment and classification. In this framework, a specified criterion system is established from the perspective of hazard, vulnerability, exposure and rescue capacity. Furthermore, we introduce an application of the SMAA-2-FFS-H approach to verify the practicality and efficiency of the proposed framework. As an extension of SMAA-FFS-H proposed by predecessors, the SMAA-2-FFS-H method comprises stochastic multi-criteria acceptability analysis-2 (SMAA-2), fuzzy flowsort (FFS) and the multi-criteria hierarchy process. Its stochastic nature allows for imprecisions and uncertainty that naturally exist in the particular physical environment of metro stations to be embedded into the evaluation process. The flood risk of 32 stations in Zhengzhou Metro Line 5 during the "7 center dot 20"rainstorm event is evaluated as a case study. The results accurately indicate that only Shakoulu Station is at high risk, which corresponds to events observed during the rainstorm. Moreover, the risk class characteristics of the remaining stations correspond to historical flooding events. Among them, 10 metro stations are classified as medium risk, 21 are classified as low risk and none are categorized as being at very low risk. Therefore, all metro stations are at risk of flooding although the degree of risk differs between some metro stations. In addition, the validity and robustness of the introduced method are demonstrated by performing comparative analysis and sensitivity analysis. Finally, some managerial suggestions are provided for strengthening the flood control capabilities of metro stations.
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Details
- Title
- Flood risk assessment of metro stations based on the SMAA-2-FFS-H method: a case study of the "7 center dot 20'' rainstorm in Zhengzhou, China
- Creators
- Yan Tu - Wuhan University of TechnologyHan Shi - Wuhan University of TechnologyXiaoyang Zhou - Xi'an Jiaotong UniversityLiyi Liu - Wuhan University of TechnologyBenjamin Lev - Drexel University
- Publication Details
- Stochastic environmental research and risk assessment
- Publisher
- Springer Nature
- Number of pages
- 20
- Grant note
- 18YJC630163 / Humanities and Social Sciences Fund of Ministry of Education of China; Ministry of Education, China 71801177; 71871175 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000955862800002
- Scopus ID
- 2-s2.0-85150608071
- Other Identifier
- 991020422332004721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Civil
- Engineering, Environmental
- Environmental Sciences
- Statistics & Probability
- Water Resources