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Spatio-temporal distribution of flood disasters and analysis of influencing factors in Africa

机译:非洲洪涝灾害的时空分布及影响因素分析

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To analyse inner- and inter-annual changes, disaster events of 55 countries in Africa from 1990 to 2014 recorded in the International Disaster Database (EM-DAT) were recounted by year and month and were reorganised in five different regions. Thematic maps of flood disasters in Africa between 1990 and 2014 were drawn using ArcGIS 9.3 to research the spatial distribution patterns of average annual flood frequency, total deaths, total affected, and damage. There were eight natural and socio-economic indicators chosen to explore the main factors influencing the spatio-temporal distribution of flood disasters in Africa, including precipitation, ENSO, runoff, forest coverage rate, reservoir capacity, per capita GDP, population, and urbanisation rate. Studies show that seasonal changes of flood disasters in various regions of Africa, except North Africa, are closely related to precipitation. Annual flood frequencies, from 1990 to 2014, showed a fluctuating upward trend and were in good agreement with ENSO years. In terms of spatial distributions, Ethiopia, Kenya, Somalia, Tanzania in eastern Africa, Nigeria in western Africa, and Libya, and Sudan in northern Arica are flood-prone countries, and main factors influencing spatial disparities include runoff, per capita GDP, population, and urbanisation rate.
机译:为了分析年内和年际变化,记录在国际灾难数据库(EM-DAT)中的1990年至2014年非洲55个国家的灾难事件按年和月进行了重新计数,并在五个不同地区进行了重组。使用ArcGIS 9.3绘制了1990年至2014年之间非洲洪水灾害的专题图,以研究平均每年洪水频率,总死亡人数,总受影响人数和破坏程度的空间分布模式。选择了八种自然和社会经济指标来探讨影响非洲洪灾时空分布的主要因素,包括降水量,ENSO,径流,森林覆盖率,水库容量,人均GDP,人口和城市化率。研究表明,除北非外,非洲其他地区洪水灾害的季节性变化与降水密切相关。从1990年到2014年,每年的洪水频率呈上升趋势,并且与ENSO年吻合良好。在空间分布上,埃塞俄比亚,肯尼亚,索马里,东部非洲的坦桑尼亚,西部非洲的尼日利亚,利比亚和阿里卡北部的苏丹是易发洪灾的国家,影响空间差异的主要因素包括径流,人均GDP,人口,以及城市化率。

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