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Finding water scarcity amid abundance using human–natural system models

机译:使用人与自然系统模型在水量丰富的情况下寻找缺水

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摘要

Water scarcity afflicts societies worldwide. Anticipating water shortages is vital because of water’s indispensable role in social-ecological systems. But the challenge is daunting due to heterogeneity, feedbacks, and water’s spatial-temporal sequencing throughout such systems. Regional system models with sufficient detail can help address this challenge. In our study, a detailed coupled human–natural system model of one such region identifies how climate change and socioeconomic growth will alter the availability and use of water in coming decades. Results demonstrate how water scarcity varies greatly across small distances and brief time periods, even in basins where water may be relatively abundant overall. Some of these results were unexpected and may appear counterintuitive to some observers. Key determinants of water scarcity are found to be the cost of transporting and storing water, society’s institutions that circumscribe human choices, and the opportunity cost of water when alternative uses compete.
机译:缺水困扰着世界各地的社会。由于水在社会生态系统中起着不可或缺的作用,因此预测缺水至关重要。但是由于整个系统的异质性,反馈和水的时空排序,挑战是艰巨的。具有足够详细信息的区域系统模型可以帮助应对这一挑战。在我们的研究中,一个这样的区域的详细的人与自然系统耦合模型确定了气候变化和社会经济增长将如何在未来几十年内改变水的可利用性和使用率。结果表明,即使在总体上水量相对充沛的盆地中,短距离和短时期内的缺水情况也有很大变化。其中一些结果是出乎意料的,对于某些观察者来说可能与直觉相反。人们发现,造成水资源短缺的关键因素是运输和储存水的成本,限制人类选择的社会机构以及在替代用途竞争时水的机会成本。

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