GIEC OpenIR  > 中国科学院广州能源研究所
A forecast model of freak wave generations in deep water
Hu, Jinpeng1; Zhang, Yunqiu2,3; Huang, Shuo2,3
2016
Source PublicationAQUATIC ECOSYSTEM HEALTH & MANAGEMENT
Volume19Issue:3Pages:303-313
AbstractIn ocean engineering designs, random extreme events are the most difficultly determined environmental load factors. Appearances of freak waves in the normal sea states are just such events. To reduce their potential destruction of marine structures, a forecast model is studied to predict whether freak waves occur in the wave propagation. In this model, the modified fourth-order nonlinear Schrodinger equation is employed as the deep-water wave model, which controls the evolution of complex wave envelopes. The measured wave train is set as its initial condition which needs to be changed into its corresponding complex wave envelope by use of the Hilbert transform method to be input into the wave model. During the evolution of complex wave envelope, its corresponding wave heights are estimated and compared with the definition of freak waves. If a freak wave is captured, its occurrence position and time are given. Three cases of observed, simulated and laboratory wave trains as initial conditions are performed to predict the generation of freak waves. Results show that measured wave trains can be simply and accurately input into this forecast model through the Hilbert transform method and this model can predict the generation of freak waves within some space and time in its traveling. In addition, larger groups than usual group height or length increase the probability of freak wave generation. This forecast model may provide marine activities with a safety warning in some open seas.
SubtypeArticle
KeywordMeasured Wave Train Hilbert Transform Temporal-spatial Evolution
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
DOI10.1080/14634988.2016.1215751
WOS Subject ExtendedEnvironmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS KeywordOCEANIC SEA STATES ; TRAINS
Indexed BySCI
Language英语
Funding OrganizationNational Nature Science Foundation of China(10902039 ; State Key Laboratory of Ocean Engineering in Shanghai Jiao Tong University(1215) ; 41106031)
WOS SubjectEcology ; Environmental Sciences ; Marine & Freshwater Biology ; Water Resources
WOS IDWOS:000383372800010
Citation statistics
Document Type期刊论文
Identifierhttp://ir.giec.ac.cn/handle/344007/11845
Collection中国科学院广州能源研究所
Affiliation1.South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Guangdong, Peoples R China
2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Guangdong, Peoples R China
3.Chinese Acad Sci, Key Lab Renewable Energy & Gas Hydrate, Guangzhou 510640, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Hu, Jinpeng,Zhang, Yunqiu,Huang, Shuo. A forecast model of freak wave generations in deep water[J]. AQUATIC ECOSYSTEM HEALTH & MANAGEMENT,2016,19(3):303-313.
APA Hu, Jinpeng,Zhang, Yunqiu,&Huang, Shuo.(2016).A forecast model of freak wave generations in deep water.AQUATIC ECOSYSTEM HEALTH & MANAGEMENT,19(3),303-313.
MLA Hu, Jinpeng,et al."A forecast model of freak wave generations in deep water".AQUATIC ECOSYSTEM HEALTH & MANAGEMENT 19.3(2016):303-313.
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