Establishing a Risk Assessment Framework for Marine Assets and Assessing Typhoon Lekima Storm Surge for the Laizhou Bay Coastal Area of the Bohai Sea, China

doi:10.3390/jmse10020298

IOCAS-IR > 海洋环流与波动重点实验室

	Establishing a Risk Assessment Framework for Marine Assets and Assessing Typhoon Lekima Storm Surge for the Laizhou Bay Coastal Area of the Bohai Sea, China
	Li, Jian 1; Mo, Dongxue 2,3,4,5; Li, Rui 1; Hou, Yijun 2,3,4,5; Liu, Qingrong 1
	2022-02-01
发表期刊	JOURNAL OF MARINE SCIENCE AND ENGINEERING
卷号	10 期号:2 页码:23
通讯作者	Mo, Dongxue(dongxuemo@qdio.ac.cn)
摘要	Effective risk assessment can reduce the economic losses and physical damage caused by marine dynamic processes, such as storm surges. Most risk assessments of marine disasters are based on regional parameters and discrete hazard grades. Targeted, multilevel, and multiangle risk assessments are urgently needed. This study focuses on specific types of affected infrastructure. We established a sensitivity matrix by considering the effects of different disaster causal factors on different types of affected infrastructure. Through this matrix, hazards, vulnerability, and emergency response and recovery capability were effectively combined in a risk assessment framework. We completed the risk calculation for multiple concurrent effects of disasters in areas with superimposed key infrastructure using complementary risk superposition. The hazard grade, vulnerability grade, and coefficient of emergency response and recovery capability were established based on the means of return period, characteristics of disaster distribution, types of affected infrastructure and disaster relief distance, and were continuous by solving functions, normal cumulative distributions, and analytic functions. On the basis of reasonable MIKE21 numerical simulation and abstract spatial distribution of vulnerable assets, we tested the rationality of the assessment system in the Lekima typhoon storm surge process. The results showed that the assessment system accurately reflected the risk of damage to the important infrastructure in terms of spatial distribution. Therefore, this risk assessment framework was suitable for the assessment of a marine dynamic disaster process in the lower Laizhou Bay coastal area of the Bohai Sea, China. Moreover, it provided a reference for disaster prevention and reduction, guided the way for decision making, and effectively reduced disaster losses.
关键词	risk assessment storm surge affected infrastructure emergency response and recovery capability Lekima
DOI	10.3390/jmse10020298
收录类别	SCI
语种	英语
WOS研究方向	Engineering ; Oceanography
WOS类目	Engineering, Marine ; Engineering, Ocean ; Oceanography
WOS记录号	WOS:000762800700001
出版者	MDPI
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.qdio.ac.cn/handle/337002/178084
专题	海洋环流与波动重点实验室
通讯作者	Mo, Dongxue
作者单位	1.State Ocean Adm, North China Sea Marine Forecasting Ctr, Yunling Rd 27, Qingdao 266061, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Nanhai Rd 7, Qingdao 266071, Peoples R China 3.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Ocean Dynam & Climate, Wenhai Rd 1, Qingdao 266237, Peoples R China 4.Univ Chinese Acad Sci, Yuquan Rd 19A, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Mega Sci, Nanhai Rd 7, Qingdao 266071, Peoples R China
通讯作者单位	海洋环流与波动重点实验室
推荐引用方式 GB/T 7714	Li, Jian,Mo, Dongxue,Li, Rui,et al. Establishing a Risk Assessment Framework for Marine Assets and Assessing Typhoon Lekima Storm Surge for the Laizhou Bay Coastal Area of the Bohai Sea, China[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING,2022,10(2):23.
APA	Li, Jian,Mo, Dongxue,Li, Rui,Hou, Yijun,&Liu, Qingrong.(2022).Establishing a Risk Assessment Framework for Marine Assets and Assessing Typhoon Lekima Storm Surge for the Laizhou Bay Coastal Area of the Bohai Sea, China.JOURNAL OF MARINE SCIENCE AND ENGINEERING,10(2),23.
MLA	Li, Jian,et al."Establishing a Risk Assessment Framework for Marine Assets and Assessing Typhoon Lekima Storm Surge for the Laizhou Bay Coastal Area of the Bohai Sea, China".JOURNAL OF MARINE SCIENCE AND ENGINEERING 10.2(2022):23.

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