Quantitative risk assessment of storm surge using GIS techniques and open data: A case study of Daya Bay Zone, China

风暴潮 环境科学 地理信息系统 自然灾害 风险评估 危害 风暴 台风 危害分析 水文学(农业) 气象学 地理 地质学 工程类 地图学 计算机科学 岩土工程 计算机安全 化学 有机化学 航空航天工程
作者
Si Wang,Lin Mu,Mengnan Qi,Zekun Yu,Zhenfeng Yao,Enjin Zhao
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:289: 112514-112514 被引量:14
标识
DOI:10.1016/j.jenvman.2021.112514
摘要

Storm surge is a natural disaster, often causing economic damage and loss of human life in the coastal communities. In recent decades, with more people attracted to coastal areas, the potential economic losses resulted from storm surges are increasing. Therefore, it is important to make risk assessments to identify areas at risk and design risk reduction strategies. However, the quantitative risk assessment of storm surge for coastal cities in China is often difficult due to the lack of adequate data regarding the building footprint and vulnerability curves. This paper aims to provide a methodology for conducting the quantitative risk assessment of storm surge, estimating direct tangible damage, by using Geographical Information System (GIS) techniques and open data. The proposed methodology was applied to a coastal area with a high concentration of petroleum industries in the Daya Bay zone. At first, five individual typhoon scenarios with different return periods (1000, 100, 50, 20, and 10 years) were defined. Then, the Advanced Circulation model and the Simulating Waves Nearshore model were utilized to simulate storm surge. The model outputs were imported into GIS software, transformed into inundation area and inundation depth. Subsequently, the building footprint data were extracted by the use of GIS techniques, including spatial analysis and image analysis. The layer containing building footprints was superimposed on the inundation area layer to identify and quantify the exposed elements to storm surge hazard. Combining the exposed elements with their related depth–damage functions, the quantitative risk assessment translates the spatial extent and depth of storm surge into the estimation of economic losses. The quantitative risk assessment and zonation maps for sub-zones in the study area can help local decision-makers to prioritize the sub-zones that are more likely to be affected by storm surge, make risk mitigation strategies, and develop long-term urban plans.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
土豆完成签到,获得积分10
1秒前
zzy完成签到 ,获得积分10
3秒前
3秒前
3秒前
完美世界应助mst采纳,获得10
3秒前
田様应助Ly采纳,获得10
3秒前
wfy完成签到,获得积分10
4秒前
无极微光应助沉默靳采纳,获得20
5秒前
6秒前
乐乐应助Nell采纳,获得10
6秒前
欢呼傀斗完成签到,获得积分10
6秒前
troublemaker完成签到,获得积分10
7秒前
xiaoyi完成签到,获得积分10
8秒前
晚风完成签到,获得积分10
9秒前
万能图书馆应助俏皮士萧采纳,获得10
9秒前
9秒前
烦恼大海完成签到 ,获得积分10
9秒前
10秒前
10秒前
12秒前
李老头完成签到,获得积分10
13秒前
13秒前
完美世界应助张明采纳,获得10
13秒前
科研通AI2S应助风中的芷蕾采纳,获得10
14秒前
15秒前
15秒前
张平安发布了新的文献求助10
16秒前
科研通AI6.1应助tengfei采纳,获得10
16秒前
16秒前
Linly完成签到,获得积分10
18秒前
氟西汀完成签到,获得积分10
19秒前
坚强的初蓝完成签到,获得积分10
19秒前
molihuakai应助张平安采纳,获得10
21秒前
wei完成签到,获得积分10
21秒前
GYGY完成签到,获得积分20
22秒前
zero发布了新的文献求助10
23秒前
Linly发布了新的文献求助10
23秒前
23秒前
烧烧烧完成签到,获得积分10
27秒前
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development Across Adulthood 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6446067
求助须知:如何正确求助?哪些是违规求助? 8259507
关于积分的说明 17595426
捐赠科研通 5506770
什么是DOI,文献DOI怎么找? 2901883
邀请新用户注册赠送积分活动 1878867
关于科研通互助平台的介绍 1718995