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Global-scale river flood vulnerability in the last 50 years

机译:近50年来全球范围内的河道洪灾脆弱性

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摘要

The impacts of flooding are expected to rise due to population increases, economic growth and climate change. Hence, understanding the physical and spatiotemporal characteristics of risk drivers (hazard, exposure and vulnerability) is required to develop effective flood mitigation measures. Here, the long-term trend in flood vulnerability was analysed globally, calculated from the ratio of the reported flood loss or damage to the modelled flood exposure using a global river and inundation model. A previous study showed decreasing global flood vulnerability over a shorter period using different disaster data. The long-term analysis demonstrated for the first time that flood vulnerability to economic losses in upper-middle, lower-middle and low-income countries shows an inverted U-shape, as a result of the balance between economic growth and various historical socioeconomic efforts to reduce damage, leading to non-significant upward or downward trends. We also show that the flood-exposed population is affected by historical changes in population distribution, with changes in flood vulnerability of up to 48.9%. Both increasing and decreasing trends in flood vulnerability were observed in different countries, implying that population growth scenarios considering spatial distribution changes could affect flood risk projections.
机译:由于人口增加,经济增长和气候变化,洪水的影响预计会增加。因此,需要了解风险驱动因素的物理和时空特征(危害,暴露和脆弱性)以制定有效的防洪措施。在这里,对洪水脆弱性的长期趋势进行了全球分析,方法是根据报告的洪水损失或破坏与使用全球河流和洪水模型的模拟洪水暴露的比率进行计算。先前的研究表明,使用不同的灾难数据可以在较短的时间内降低全球洪水的脆弱性。长期分析首次证明,由于经济增长与各种历史社会经济努力之间的平衡,洪水在中,低,中,低收入国家遭受经济损失的脆弱性呈倒U型减少损害,导致不明显的上升或下降趋势。我们还表明,受洪灾影响的人口受人口分布历史变化的影响,洪灾脆弱性变化高达48.9%。在不同国家都观察到洪水脆弱性的上升和下降趋势,这意味着考虑空间分布变化的人口增长情景可能会影响洪水风险预测。

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