The Study of Extreme Flood Vulnerability Spatial Distribution in Chinese Mainland

IF 1.8 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Lili Guan, Jianni Yi, Wei Li
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引用次数: 0

Abstract

The study of the spatial distribution of vulnerability to extreme floods (EF) is of great practical significance. Due to the vast territory of China and the great differences in population, social structure, economy, and natural environment between different provinces, the vulnerability to EF disasters varies greatly. This study integrates life, economic, environmental, and social influences, with the combination of the cloud-model method and variable fuzzy theory to establish a vulnerability assessment model. Ranking the calculation results of Chinese mainland 31 provincial regions, it shows that 80% of China's regions are rated medium to severe grades. Developed economy and high population density are the main reasons for the high vulnerability. The vulnerability evaluation model and spatial distribution ideas proposed in this paper provide an insightful research basis for risk decision-making and risk management.

中国大陆极端洪水脆弱性空间分布研究
研究极端洪水脆弱性的空间分布具有重要的现实意义。由于中国幅员辽阔,各省在人口、社会结构、经济、自然环境等方面存在较大差异,EF灾害的易损性也存在较大差异。本研究结合生活、经济、环境、社会影响,采用云模型法和变量模糊理论相结合的方法,建立了脆弱性评价模型。对中国大陆31个省区的计算结果进行排序,结果显示,中国80%的地区被评为中至重度。经济发达和人口密度高是造成脆弱性高的主要原因。本文提出的脆弱性评价模型和空间分布思路为风险决策和风险管理提供了有见地的研究依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.10
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0.00%
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审稿时长
19 weeks
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