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Climate versus demographic controls on water availability across India at 1.5℃, 2.0℃ and 3.0℃ global warming levels

机译:在全球变暖水平1.5、2.0和3.0℃下,气候与人口控制在印度的可用水量之间的关系

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Water resources across the globe are projected to undergo significant changes as climate and socio-economic conditions change. A policy relevant question thus arises: whether climate change or population change exerts a greater control on future freshwater resources of a region? Understanding the relative importance of these factors in affecting water availability can help guide prioritization of policy level interventions. In this study, we quantify the changes in mean annual per capita water availability (PCWA) across India under 1.5 degrees C, 2.0 degrees C, and 3.0 degrees C levels of global warming. We utilize projections of future climate from several general circulation models (GCMs) under three different representative concentration pathways (RCPs) along with projections of future population from five socio-economic pathways (SSPs). Using the estimated PCWA from these GCM-RCP-SSP combinations, we perform a sensitivity analysis to ascertain the relative importance of climatic (precipitation and temperature change) and demographic (population) factors in affecting per capita freshwater availability in a region. Our analysis shows that PCWA over India will decrease across all warming scenarios. In addition, a transition from the 1.5 degrees C warmer world to the 2.0 degrees C warmer world leads to a reduction in PCWA for a majority (92.8%) of regions across India. The number of people likely to face severe water stress (PCWA 500 m(3)/year/ capita) under 1.5 degrees C, 2.0 degrees C, and 3.0 degrees C warming scenarios, are 354, 421, and 380 million, respectively. Sensitivity analysis indicated that changes in both population and mean annual precipitation are dominating factors controlling PCWA, depending upon the historical setting of the region. Regions with historically lower populations and lower aridity indices tend to be more sensitive to population changes. On the other hand, as historical population of a region increases, sensitivity to changing climate (mainly mean annual precipitation) increases. These results indicate the complex interactions between demographic and climatic changes that need to be accounted for in policies that aim to manage water scarcity by either controlling global warming or via socioeconomic interventions.
机译:随着气候和社会经济状况的变化,预计全球水资源将发生重大变化。因此,出现了一个与政策相关的问题:气候变化或人口变化是否对该地区未来的淡水资源施加了更大的控制权?了解这些因素在影响水供应方面的相对重要性,可以帮助指导优先政策级干预措施。在这项研究中,我们量化了在全球变暖水平为1.5摄氏度,2.0摄氏度和3.0摄氏度的情况下,印度全国人均年可用水量(PCWA)的变化。我们利用三种不同的代表性集中途径(RCP)下的几种一般循环模式(GCM)对未来气候的预测,以及五种社会经济途径(SSP)对未来人口的预测。利用这些GCM-RCP-SSP组合估算的PCWA,我们进行了敏感性分析,以确定气候(降水和温度变化)和人口(人口)因素在影响该地区人均淡水可利用性方面的相对重要性。我们的分析表明,在所有变暖情况下,印度的PCWA都会减少。另外,从全球升温1.5摄氏度到全球升温2.0摄氏度的转变导致印度大部分地区(92.8%)的PCWA减少。在1.5摄氏度,2.0摄氏度和3.0摄氏度的变暖情景下,可能面临严重缺水(PCWA <500 m(3)/年/人均)的人数分别为354、421和3.8亿。敏感性分析表明,人口和年均降水量的变化是控制PCWA的主要因素,这取决于该地区的历史背景。历史上人口较少,干旱指数较低的地区往往对人口变化更为敏感。另一方面,随着该地区历史人口的增加,对气候变化(主要是平均年降水量)的敏感性也随之增加。这些结果表明,在旨在通过控制全球变暖或通过社会经济干预措施来控制水资源短缺的政策中,必须考虑人口与气候变化之间的复杂相互作用。

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