Center for Complex Hydrosystems Research, Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL 35487, USA.
Sci Total Environ. 2018 Dec 10;644:520-535. doi: 10.1016/j.scitotenv.2018.07.023. Epub 2018 Jul 11.
Drought vulnerability is a complex concept that identifies the capacity to cope with drought, and reveals the susceptibility of a system to the adverse impacts of drought. In this study, a multi-dimensional modeling framework is carried out to investigate drought vulnerability at a national level across the African continent. Data from 28 factors in six different components (i.e. economy, energy and infrastructure, health, land use, society, and water resources) are collected for 46 African countries during 1960-2015, and a composite Drought Vulnerability Index (DVI) is calculated for each country. Various analyses are conducted to assess the reliability and accuracy of the proposed DVI, and the index is evaluated against historical observed drought impacts. Then, regression models are fitted to the historical time-series of DVI for each country, and the models are extrapolated for the period of 2020-2100 to provide three future scenarios of DVI projection (low, medium, and high) based on historical variations and trends. Results show that Egypt, Tunisia, and Algeria are the least drought vulnerable countries, and Chad, Niger, and Malawi are the most drought vulnerable countries in Africa. Future DVI projections indicate that the difference between low- and high-vulnerable countries will increase in future, with most of the southern and northern African countries becoming less vulnerable to drought, whereas the majority of central African countries indicate increasing drought vulnerability. The projected DVIs can be utilized for long-term drought risk analysis as well as strategic adaptation planning purposes.
干旱脆弱性是一个复杂的概念,它确定了应对干旱的能力,并揭示了系统对干旱不利影响的敏感性。本研究采用多维建模框架,对非洲大陆各国的干旱脆弱性进行了研究。本研究收集了 1960 年至 2015 年期间非洲 46 个国家六个不同组成部分(即经济、能源和基础设施、健康、土地利用、社会和水资源)28 个因素的数据,并为每个国家计算了综合干旱脆弱性指数(DVI)。进行了各种分析来评估所提出的 DVI 的可靠性和准确性,并根据历史观测到的干旱影响对该指数进行了评估。然后,对每个国家的 DVI 历史时间序列拟合回归模型,并将模型外推至 2020-2100 年,以根据历史变化和趋势为 DVI 预测提供三个未来情景(低、中、高)。结果表明,埃及、突尼斯和阿尔及利亚是干旱脆弱性最小的国家,而乍得、尼日尔和马拉维是非洲干旱脆弱性最大的国家。未来 DVI 预测表明,未来低脆弱性和高脆弱性国家之间的差距将会扩大,大部分南部和北部非洲国家对干旱的脆弱性将会降低,而大部分中部非洲国家则显示出干旱脆弱性增加的趋势。所预测的 DVI 可用于长期干旱风险分析和战略适应规划目的。