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Global Modeling of Seasonal Mortality Rates From River Floods
Earth's Future ( IF 8.852 ) Pub Date : 2020-07-15 , DOI: 10.1029/2020ef001541
Lorenzo Alfieri 1, 2 , Francesco Dottori 1 , Peter Salamon 1 , Huan Wu 3, 4, 5 , Luc Feyen 1
Affiliation  

In spite of their recurrent seasonal patterns, every year river floods affect millions of people and kill thousands. Knowing the average timing and magnitude of floods can help to better prepare for disasters by improving the humanitarian assistance and the management of resources, to ultimately reduce the overall flood impacts. This work presents a physically based modeling framework to estimate population exposed and mortality rates from river floods in all the world countries, as well as their temporal distribution within the average year. The methodology is based on a modeling cascade involving hydrologic‐hydraulic simulations at spatial resolution up to 1 km. Inundation areas are combined with population density to estimate human exposure and then aggregated at the country level. Mortality rates per region and income class are inferred from two global disaster data sets and linked through flood exposure to estimate country average annual figures. Estimates of flood impacts are then disaggregated according to the seasonal variability of floods, derived statistically from a global hydrological reanalysis for the years 1980–2018. Global human exposure from river floods is here estimated at 54 million people per year. Summer floods in Asia are the main cause of mortality from river floods, accounting for 63% of the 6,120 casualties per year globally. In contrast, the 6 months between November and April contribute to only 13% of global mortality, mostly due to floods in South America and Africa.

中文翻译:

河流洪水季节性死亡率的全球建模

尽管经常出现季节性变化,但每年的洪水都影响着数百万人,造成数千人死亡。了解洪水的平均时间和强度,可以通过改善人道主义援助和资源管理,最终减轻总体洪水影响,从而更好地为灾难做准备。这项工作提出了一个基于物理的建模框架,以估计世界各国在河水泛滥中的人口暴露和死亡率,以及它们在平均年内的时间分布。该方法基于一个建模级联,该级联涉及空间分辨率高达1 km的水文-水力模拟。将淹没区域与人口密度相结合,以估计人类的暴露程度,然后在国家一级进行汇总。从两个全球灾害数据集推断出每个地区和每个收入类别的死亡率,并将其通过洪灾暴露与估计的国家平均年度数字联系起来。然后根据洪水的季节性变化分解洪水影响的估计值,这些变化是从1980-2018年的全球水文重新分析中统计得出的。据估计,全球每年因河水泛滥造成的人口暴露为5400万人。亚洲夏季洪水是造成河道洪水死亡的主要原因,占全球每年6120人伤亡的63%。相比之下,11月至4月之间的6个月仅占全球死亡率的13%,主要是南美和非洲的洪灾所致。然后根据洪水的季节性变化分解洪水影响的估计值,这些变化是从1980-2018年的全球水文重新分析中统计得出的。据估计,全球每年因河水泛滥造成的人口暴露为5400万人。亚洲夏季洪水是造成河道洪水死亡的主要原因,占全球每年6120人伤亡的63%。相比之下,11月至4月之间的6个月仅占全球死亡率的13%,主要是南美和非洲的洪灾所致。然后根据洪水的季节性变化分解洪水影响的估计值,这些变化是从1980-2018年的全球水文重新分析中统计得出的。据估计,全球每年因河水泛滥造成的人口暴露为5400万人。亚洲夏季洪水是造成河道洪水死亡的主要原因,占全球每年6120人伤亡的63%。相比之下,11月至4月之间的6个月仅占全球死亡率的13%,主要是南美和非洲的洪灾所致。亚洲夏季洪水是造成河道洪水死亡的主要原因,占全球每年6120人伤亡的63%。相比之下,11月至4月之间的6个月仅占全球死亡率的13%,主要是南美和非洲的洪灾所致。亚洲夏季洪水是造成河道洪水死亡的主要原因,占全球每年6120人伤亡的63%。相比之下,11月至4月之间的6个月仅占全球死亡率的13%,主要是南美和非洲的洪灾所致。
更新日期:2020-09-21
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