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Flood Risk Modelling of Metro Systems in Coastal Megacities: Case Study of the “9.7” Black Rainstorm in Hong Kong

Author(s): Chen Liang; Kaihua Guo; Mingfu Guan

Linked Author(s): Kaihua Guo

Keywords: Urban flooding; Flood risk assessment; Metro systems; Shallow water equations; MCDM

Abstract: Urban flooding poses a significant threat to metro lines, making them vulnerable to sudden interruptions and risking the loss of lives. Therefore, to understand flood risk of a metro system becomes crucial from both academic and practical perspectives. This study aims to develop an approach to quantify the flood risk of metro systems based on two-dimensional modelling of coastal compound flooding and its interaction with metro systems under multiple scenarios. The model will be first validated with extreme flooding caused by a record-breaking rainstorm occurred in September 7,2023 in Hong Kong. Then, the inundation process and floodwater characteristics in the vicinity of metro stations will be studied under extreme weather conditions, including intense rainfall and storm surge together with their combined effect. Based on such multi-scenario flood modelling, the study will apply a multi-criteria decision making (MCDM) method to comprehensively analyze hazard, exposure, and vulnerability factors to quantify the flood risk of the metro system in Hong Kong. Subsequently, a spatially explicit flood risk assessment is conducted by integrating MCDM and detailed simulated floodwater characteristics. The findings could reveal varying levels of flood risk for metro lines and their surrounding areas in Hong Kong during extreme weather-induced compound flooding scenarios. These results provide valuable insights for implementing flood-proof measures on metro lines and enhancing the flood resilience of metro systems.

DOI: https://doi.org/10.3850/iahr-hic2483430201-89

Year: 2024

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