Residential College | false |
Status | 已發表Published |
Flood risk assessment of artificial islands under compound rain-tide-wind effects during tropical cyclones | |
Yan Li1,2,3; Ping Shen1,2,3; Yu Yan4; Wan-Huan Zhou1,2,3 | |
2022-12-01 | |
Source Publication | Journal of Hydrology |
ISSN | 0022-1694 |
Volume | 615Pages:128736 |
Abstract | Tropical cyclones are often accompanied by heavy rainfall, high tides, and strong wind speeds, which can induce serious compound floods resulting in immeasurable losses to coastal areas. Studies on flood risk for ocean engineering by compound impacts of rain, tide, and wind are still limited to date. The west artificial island of Hong Kong-Zhuhai-Macao Bridge is a vital link between the immersed tunnel and the bridge. The flooding on the artificial island under the compound effects of rain-tide-wind and the flood risk of cars were analyzed in this study. We propose rain-tide-wind joint probabilities for different compound scenarios based on historical observational data of tropical cyclones. The artificial island hydrodynamic model was created to evaluate flood disasters induced by rainfall and wave overtopping. The 24-hour flood process and maximum flood depth distribution of each scenario are presented. The car damage in floods by the compound effects was assessed to derive the probability-car damage curve for risk assessment. The study provides technical support for artificial island flood prevention and disaster risk reduction. |
Keyword | Flood Disaster Risk Assessment Rain-tide-wind Compound Artificial Island Car Damage |
DOI | 10.1016/j.jhydrol.2022.128736 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Engineering ; Geology ; Water Resources |
WOS Subject | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS ID | WOS:000895774100002 |
Publisher | ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS |
Scopus ID | 2-s2.0-85141915159 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING |
Corresponding Author | 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 SAR, People’s Republic of China 2.Zhuhai UM Science & Technology Research Institute, Zhuhai, Guangdong Province, People’s Republic of China 3.Center for Ocean Research in Hong Kong and Macau (CORE), Hong Kong SAR, People’s Republic of China 4.Hong Kong-Zhuhai-Macao Bridge Authority, Zhuhai, Guangdong Province, People’s Republic of China |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Yan Li,Ping Shen,Yu Yan,et al. Flood risk assessment of artificial islands under compound rain-tide-wind effects during tropical cyclones[J]. Journal of Hydrology, 2022, 615, 128736. |
APA | Yan Li., Ping Shen., Yu Yan., & Wan-Huan Zhou (2022). Flood risk assessment of artificial islands under compound rain-tide-wind effects during tropical cyclones. Journal of Hydrology, 615, 128736. |
MLA | Yan Li,et al."Flood risk assessment of artificial islands under compound rain-tide-wind effects during tropical cyclones".Journal of Hydrology 615(2022):128736. |
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