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A multidimensional analysis of water poverty at local scale: application of improved water poverty index for Tunisia

机译：地方尺度水资源贫困的多维分析：突尼斯改进的水资源贫困指数的应用

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摘要

Combining the measure of water availability and the socio-economic capacity to access it gives new insights in the fields of water resources management and poverty alleviation. This approach lets researchers think about new multidimensional water scarcity indexes that have contributed to the definition of the water poverty index (WPI). The methodology first used for the calculation of this aggregate index was based on an equally weighted average of its five components (resources, capacity, access, use and environment). The main objective of this paper is to improve this procedure by using an objective weighting scheme. For this purpose we use principal component analysis to give more weight to components with larger variance and to discard components with very small ones. This improved WPI is applied in the case of Tunisia. We have obtained relevant results which could help policy makers to devise better policies to alleviate water poverty in the Inland region which was where the Tunisian revolution began.
机译：将水的可利用量与其获得的社会经济能力相结合，可以在水资源管理和扶贫领域提供新的见解。通过这种方法，研究人员可以考虑新的多维水资源短缺指数，这些指数对水资源贫困指数（WPI）的定义做出了贡献。最初用于计算该综合指数的方法是基于其五个组成部分（资源，能力，获取，使用和环境）的均等加权平均值。本文的主要目的是通过使用客观加权方案来改进该程序。为此，我们使用主成分分析为具有较大方差的成分赋予更多权重，并丢弃具有很小成分的成分。这种改进的WPI适用于突尼斯。我们已经获得了相关的结果，可以帮助决策者制定更好的政策来减轻突尼斯革命开始的内陆地区的水资源贫困。

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