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Risk assessment of rainstorm disasters under different return periods: A case study of Bohai Rim, China

机译:不同回报期下暴风雨灾害风险评估 - 以渤海边疆区为例

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摘要

Rainstorms are extreme events that have a serious impact on the safety of people's lives and property, and on socioeconomic development. Coastal areas have a large population and a high urban concentration tend to be areas that experience high levels risk of extreme precipitation. The present study uses the Bohai Rim, China, as a case study, and applies the copula joint function to daily precipitation data to calculate the probability of rainstorms under different return periods such that the hazard presented by each rainstorm disaster could be analyzed. Grid data of gross domestic product (GDP) per land area (km(2)) and population density were selected to calculate and assess the associated respectively levels of exposure and vulnerability. The risk of occurrence of a rainstorm disaster was analyzed according to the disaster risk assessment paradigm of the United Nations Office for Disaster Risk Reduction (UNDRR). The results showed that the risk of a rainstorm disaster under different return periods in the Bohai Rim gradually decreased from the southeast coastal region towards the northwest inland area. Our study provides a scientific basis for governments to improve disaster prevention and reduction, and can assist in the formulation of emergency management countermeasures.
机译:暴雨是极端的事件,对人们生活和财产的安全以及社会经济发展产生了严重影响。沿海地区的人口大,城市集中高往往是经历高水平的极端降水风险的领域。本研究采用了渤海地区,中国作为案例研究,将Copula关节功能应用于日降水数据,以计算不同返回期下暴雨的可能性,以便分析每个暴雨灾难所呈现的危险。选择每陆地区的国内生产总值(GDP)的网格数据(km(2))和人口密度进行计算和评估接触和脆弱程度的相关水平。根据联合国灾害风险灾害厅减少灾区(UNDRR)办公室的灾害风险评估范式分析了暴雨灾难发生的风险。结果表明,渤海地区不同回报时期暴雨灾害的风险从东南沿海地区朝向西北地区的东南沿海地区逐渐减少。我们的研究为各国政府提供了科学依据,以改善防灾和减少,并可以协助制定紧急管理对策。

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