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Improvement of Flood Risk Analysis Via Downscaling of Hazard and Vulnerability Maps

机译:通过危险和漏洞地图的缩小改进洪水风险分析

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摘要

Flood risk maps are important references for disaster prevention and emergency response. The accuracy of risk maps is greatly affected by the resolutions of hazard and vulnerability maps. To determine the impact of map resolutions on flood risk analysis, a total of 12 risk maps were generated for Shanhua District, Taiwan, via the integration of hazard and vulnerability maps under two resolutions and three return periods. The hazard, vulnerability, and risk maps were classified into five levels according to flood depth, socio-economic indicators, and their products, respectively. The results show that the downscaling of hazard maps greatly increases the hit rate by 28% and decreases the false alarm rate by 53% in the flood risk analyses of households. In contrast, the downscaling of vulnerability maps only slightly increases the hit rate without an obvious decrease in the false alarm rate. To improve flood risk analysis under time and budget limitations, numerical downscaling of hazard maps should be given higher priority because it reduces the structural errors in hydraulic simulations that cannot be compensated for by the statistical downscaling of vulnerability maps.
机译:洪水风险地图是对防灾和应急响应的重要参考。风险地图的准确性受到危险和漏洞地图的分辨率的大大影响。为确定地图决议对洪水风险分析的影响,通过在两项决议和三个退货期间的危险和漏洞地图的整合,为台湾山华区生成了12种风险地图。根据洪水深度,社会经济指标及其产品分别归类为五个层次的危险,脆弱性和风险地图。结果表明,危险地图的次标大大提高了击中率28%,在家庭的洪水风险分析中降低了53%的误报率。相比之下,漏洞地图的次要映射仅略微增加了误报率的明显减少。为了提高洪水风险分析及预算限制,应优先考虑危险地图的数值缩小,因为它降低了无法通过漏洞映射的统计缩减无法补偿的液压模拟结构误差。

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