Residential College | false |
Status | 已發表Published |
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 Publication | International Journal of Disaster Risk Reduction |
ISSN | 2212-4209 |
Volume | 78Pages: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. |
Keyword | Coupled Hydrodynamic Model Pedestrian Danger Flooding Disaster Rainstorm Artificial Island |
DOI | 10.1016/j.ijdrr.2022.103133 |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
WOS Subject | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources |
WOS ID | WOS:000831716500007 |
Publisher | ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS |
Scopus ID | 2-s2.0-85141921409 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING |
Corresponding Author | Wan-huan Zhou; Ping Shen |
Affiliation | 1.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 Affilication | University of Macau |
Corresponding Author Affilication | University 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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