Rainstorm Flood Risk Assessment of Urban Metro System in Different Operating Periods: A Case Study of the Central Urban Area of Tianjin, China
Abstract
The rapid expansion of China’s Urban Metro System (UMS) corresponds with the burgeoning growth of urban areas driven by the country’s swift urbanization. In the context of escalating extreme rainstorm events linked to global climate change, the UMS confront a growing risk of flood inundation. Using the central urban area of Tianjin as an example, the Infoworks ICM hydrological model was utilized to simulate inundation extents and depths in the study area for four selected rainstorm return periods. Furthermore, the vulnerability of the metro stations was assessed by utilizing analytical hierarchy process-technique for order preference by similarity to ideal solution (AHP-Topsis) and constructing a multi-indicator system. The study employed the H-E-V risk assessment framework for the quantification of rainstorm flood risk. The findings reveal noteworthy insights. (1) The variations in the metro operating periods can significantly impact the rainstorm flood risk of the UMS, and the number of higher and highest risk metro stations is greater during rush hours than during offpeak hours. (2) The installation of exit steps emerges as a feasible measure to mitigate the potential impact of rainstorm floods on the UMS. (3) In addition to being in the central area of the case zone, highest risk metro stations are also distributed around the periphery of the study area.
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Data Availability Statement
Data that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
We sincerely thank the editor and the anonymous reviewers for their insightful comments and suggestions. This work was supported by the technical service project of the First National Survey on Natural Disaster Risks (SNDR) of the Bureau of Emergency Management of Tianjin (Grant No. 53H22002); the technical support project of the First National Survey on Natural Disaster Risks (SNDR) of the Bureau of Emergency Management of Tianjin (Grant No. 53H22048); the Tianjin Research Innovation Project for Postgraduate Students (Grant No. 2022SKY248); and the Training Program of Innovation and Entrepreneurship for Undergraduates of Tianjin (Grant No. 202310065329).
Author contributions: Xingshuai Hou: Conceptualization, Investigation, Formal analysis, Resources, Writing original draft, Writing–review and editing, Visualization. Qiang Gao: Data curation, Investigation, Methodology, Resources, Writing–original draft. Zishuang Xiao: Investigation, Writing–review and editing. Mingjun Ma: Investigation, Writing–review and editing. Baiqiao Liu: Conceptualization, Formal analysis, Funding acquisition, Supervision, Validation, Writing–review and editing. Beibei Hu: Conceptualization, Formal analysis, Funding acquisition, Supervision, Validation, Writing–review and editing. Lifei Jia: Investigation, Writing–review and editing. Wenfang Song: Investigation, Writing–review and editing.
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Natural Hazards Review
Volume 25 • Issue 4 • November 2024
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© 2024 American Society of Civil Engineers.
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Received: Dec 7, 2023
Accepted: Jul 8, 2024
Published online: Sep 14, 2024
Published in print: Nov 1, 2024
Discussion open until: Feb 14, 2025
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