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Pedestrian danger assessment under rainstorm-induced flood disaster for an artificial island
Yan Li1,2; Wan-huan Zhou1,2; Ping Shen1
2022-08-01
Source PublicationInternational Journal of Disaster Risk Reduction
ISSN2212-4209
Volume78Pages:103133
Abstract

As extreme weather becomes more frequent and intense, cross-sea transportation infrastructures face a greater risk of flooding, which leads to economic loss and threats to life. The artificial island of the Hong Kong-Zhuhai-Macao Bridge is a crucial hub connecting the undersea tunnels and bridges. Heavy rainstorms could cause flooding of the artificial island, which threaten the safety of traffic and pedestrians on the island. It is significant for simulating flooding and assessing danger for pedestrians on islands, where people are difficult to rescue if flooding occurs. In this study, a coupled flood model is proposed to simulate the rainstorm-induced flood, and a stability model in floodwater is used to evaluate the danger degree of pedestrians on the artificial island. The drainage network and surface flow models are coupled to establish a flooding disaster model for the island. The results indicate that the turning of secondary roads on the island is more susceptible to flooding under extreme rainfall conditions. The map of pedestrian danger presents that the road turnings and main road are dangerous locations during the flood. The method proposed could offer technical support for safety management and flood prevention of cross-sea transportation infrastructures.

KeywordCoupled Hydrodynamic Model Pedestrian Danger Flooding Disaster Rainstorm Artificial Island
DOI10.1016/j.ijdrr.2022.103133
Indexed BySCIE
Language英語English
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000831716500007
PublisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Scopus ID2-s2.0-85141921409
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Corresponding AuthorWan-huan Zhou; Ping Shen
Affiliation1.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macao, People's Republic of China
2.Center for Ocean Research in Hong Kong and Macau (CORE), Hong Kong SAR, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yan Li,Wan-huan Zhou,Ping Shen. Pedestrian danger assessment under rainstorm-induced flood disaster for an artificial island[J]. International Journal of Disaster Risk Reduction, 2022, 78, 103133.
APA Yan Li., Wan-huan Zhou., & Ping Shen (2022). Pedestrian danger assessment under rainstorm-induced flood disaster for an artificial island. International Journal of Disaster Risk Reduction, 78, 103133.
MLA Yan Li,et al."Pedestrian danger assessment under rainstorm-induced flood disaster for an artificial island".International Journal of Disaster Risk Reduction 78(2022):103133.
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