A forecast model of freak wave generations in deep water

doi:10.1080/14634988.2016.1215751

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, Jinpeng 1; Zhang, Yunqiu 2,3; Huang, Shuo 2,3
	2016
发表期刊	AQUATIC ECOSYSTEM HEALTH & MANAGEMENT
卷号	19 期号:3 页码:303-313
摘要	In 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.
文章类型	Article
关键词	Measured Wave Train Hilbert Transform Temporal-spatial Evolution
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences
DOI	10.1080/14634988.2016.1215751
研究领域[WOS]	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
关键词[WOS]	OCEANIC SEA STATES ; TRAINS
收录类别	SCI
语种	英语
项目资助者	National Nature Science Foundation of China(10902039 ; State Key Laboratory of Ocean Engineering in Shanghai Jiao Tong University(1215) ; 41106031)
WOS类目	Ecology ; Environmental Sciences ; Marine & Freshwater Biology ; Water Resources
WOS记录号	WOS:000383372800010
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/11845
专题	中国科学院广州能源研究所
作者单位	1.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
推荐引用方式 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.