SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)
Optimizing the routing of ship's tropical cyclone avoidance based on the numerical forecasts
[Wu, Lichuan; Wen, Yuanqiao; Zhang, Jinfeng; Xiao, Changshi] Wuhan Univ Technol, Sch Nav, Wuhan 430070, Peoples R China; Wen, Yuanqiao] Hubei Inland Shipping Technol Key Lab, Wuhan, Peoples R China; [Peng, Shiqiu] Chinese Acad Sci, State Key Lab Trop Oceanog, South China Sea Inst Oceanol, Guangzhou, Guangdong, Peoples R China; speng@scsio.ac.cn
2013
Source PublicationNATURAL HAZARDS
ISSN0921-030X
Volume69Issue:1Pages:781-792
AbstractIn this paper, an algorithm to design a shortest-time route for a ship to avoid a tropical cyclone (TC) is proposed. The proposed algorithm takes into account the influence of the changing winds and sea waves on ship's speed and the corresponding risk using the forecasts from a numerical weather prediction model. Experimental results show that the new algorithm is able to save more time comparing with the traditional sector diagram typhoon avoidance method. In the application of the new algorithm to the navigation practice, the distance between adjacent alternative waypoints should be adjusted to meet the navigational needs, and the route should be updated simultaneously with TC forecasts from a numerical weather prediction model.
DepartmentLTO
KeywordTropical Cyclone Avoidance Numerical Forecast Shortest-time Route
Subject AreaGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
Funding OrganizationThis research is supported by the National Science Foundation of China (NSFC) through Grants 51209166 and 41076009, State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Science) and self-determined and innovative research funds of WUT. ; This research is supported by the National Science Foundation of China (NSFC) through Grants 51209166 and 41076009, State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Science) and self-determined and innovative research funds of WUT. ; This research is supported by the National Science Foundation of China (NSFC) through Grants 51209166 and 41076009, State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Science) and self-determined and innovative research funds of WUT. ; This research is supported by the National Science Foundation of China (NSFC) through Grants 51209166 and 41076009, State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Science) and self-determined and innovative research funds of WUT.
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Language英语
Funding OrganizationThis research is supported by the National Science Foundation of China (NSFC) through Grants 51209166 and 41076009, State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Science) and self-determined and innovative research funds of WUT. ; This research is supported by the National Science Foundation of China (NSFC) through Grants 51209166 and 41076009, State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Science) and self-determined and innovative research funds of WUT. ; This research is supported by the National Science Foundation of China (NSFC) through Grants 51209166 and 41076009, State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Science) and self-determined and innovative research funds of WUT. ; This research is supported by the National Science Foundation of China (NSFC) through Grants 51209166 and 41076009, State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Science) and self-determined and innovative research funds of WUT.
WOS IDWOS:000325101100041
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/10878
Collection热带海洋环境国家重点实验室(LTO)
Corresponding Authorspeng@scsio.ac.cn
Recommended Citation
GB/T 7714
[Wu, Lichuan,Wen, Yuanqiao,Zhang, Jinfeng,et al. Optimizing the routing of ship's tropical cyclone avoidance based on the numerical forecasts[J]. NATURAL HAZARDS,2013,69(1):781-792.
APA [Wu, Lichuan.,Wen, Yuanqiao.,Zhang, Jinfeng.,Xiao, Changshi] Wuhan Univ Technol, Sch Nav, Wuhan 430070, Peoples R China.,Wen, Yuanqiao] Hubei Inland Shipping Technol Key Lab, Wuhan, Peoples R China.,...&speng@scsio.ac.cn.(2013).Optimizing the routing of ship's tropical cyclone avoidance based on the numerical forecasts.NATURAL HAZARDS,69(1),781-792.
MLA [Wu, Lichuan,et al."Optimizing the routing of ship's tropical cyclone avoidance based on the numerical forecasts".NATURAL HAZARDS 69.1(2013):781-792.
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