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Analysis and mapping of climate change risk and vulnerability in Central Rift Valley of Ethiopia.

机译:埃塞俄比亚中部裂谷的气候变化风险和脆弱性分析和绘图。

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摘要

There is growing demand for spatially explicit information among stakeholders across public and private institutions regarding vulnerability to climate change at the local scale. This study was conducted over 16 districts in Central Rift Valley (CRV) of Ethiopia, to determine the degree of climate risk and the relative vulnerability of the districts, to climate change and, thereby identify vulnerable hotspots. A biophysical and socio-economic indicator based integrated vulnerability assessment technique was used to map climate change vulnerability. Indicators were generated and analysed under three components of vulnerability, namely exposure, sensitivity and adaptive capacity; and finally aggregated into a single vulnerability index. The values of all indicators were normalised by considering their functional relationship with vulnerability, and expert judgment was then used to assign weights to all indicators. Aggregate vulnerability index (VI) was finally determined from the weighted sum of all indicators and mapped over the 16 districts. Selti, Dodotana-Sire and Tiyo districts had relatively high vulnerability to climate change; while Arsinegele, Adamitulu-Jido-Kombolcha and Dugda-Bora were the least vulnerable. The rest of the districts had medium vulnerability to changing climate. This study shows that vulnerability mapping is crucial in determining the varying degrees of vulnerability of different localities, and generating information that can help researchers, policy makers, private and public institutions in formulating site-specific adaptation strategies and prioritising adaptation investments to the most vulnerable hotspots.
机译:在公共和私人机构的利益相关者中,越来越需要有关空间明晰的信息,以了解地方范围内气候变化的脆弱性。这项研究在埃塞俄比亚中部裂谷(CRV)的16个地区中进行,以确定气候风险的程度以及该地区对气候变化的相对脆弱性,从而确定脆弱的热点。基于生物物理和社会经济指标的综合脆弱性评估技术用于绘制气候变化脆弱性。在脆弱性的三个组成部分下产生并分析了指标,即暴露,敏感性和适应能力;最后汇总到一个漏洞索引中考虑到它们与脆弱性之间的功能关系,对所有指标的值进行标准化,然后使用专家判断为所有指标分配权重。最终,根据所有指标的加权总和确定脆弱性总指数(VI),并将其映射到16个地区。 Selti,Dodotana-Sire和Tiyo地区对气候变化的脆弱性相对较高。而Arsinegele,Adamitulu-Jido-Kombolcha和Dugda-Bora的脆弱性最低。其余地区对气候变化的脆弱性中等。这项研究表明,脆弱性映射对于确定不同地区的脆弱性程度以及生成可帮助研究人员,政策制定者,私人和公共机构制定针对特定地点的适应策略以及将适应性投资优先用于最脆弱热点的信息至关重要。 。

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