NDLI: Methodology for Storm Surge Risk Analysis

Content Provider	IEEE Xplore Digital Library
Author	Junhua Teng Meixian Sun Miao Yu Tianyu Zhang Fujiang Yu
Copyright Year	2008
Description	Author affiliation: Nat. Marine Environ. Forecast Center, Beijing (Tianyu Zhang; Fujiang Yu) \|\| State Key Lab. of Satellite Ocean Environ. Dynamics, Second Inst. of Oceanogr., Hangzhou (Junhua Teng; Meixian Sun; Miao Yu)
Abstract	China is largely affected by marine disasters because of her long coastal line, and storm surge is the most of all. The loss of storm surge disaster annually reaches tens of billion RMB. With the change of focus from disaster reduction (DR) to disaster risk reduction (DRR), risk reduction is paid more attentions and it is gradually considered as an important step in real disaster mitigation activity. In this paper a preliminary methodology for storm surge disaster risk analysis is provided. Disaster risk is controlled by disaster affecting intensity and disaster stakeholder character. The concept model is like this, risk = hazard $^{*}$ vulnerability. How to measure and calculation hazard and vulnerability is the key question to answer in this paper. An operational hazard index and vulnerability index system is designed to measure hazard intensity and disaster stakeholder characters. Based on geographic information systems(GIS), a case study is provided in Huanghua county of Hebei province in China, the risk analysis model is used to create storm surge disaster risk index map in case study area. The result is useful in storm surge disaster mitigation planning and other activities.
File Size	370233
File Format	PDF
ISBN	9781424428076
DOI	10.1109/IGARSS.2008.4778894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Storms Surges Risk analysis Hazards Risk management Sea measurements Typhoons Economic forecasting Numerical models Sun China Storm Surge Risk Analysis Disaster Mitigation GIS
Content Type	Text
Resource Type	Article

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