首页> 外文期刊>Journal of Water Resources Planning and Management >Water Resources Criticality Due to Future Climate Change and Population Growth: Case of River Basins in Utah, USA
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Water Resources Criticality Due to Future Climate Change and Population Growth: Case of River Basins in Utah, USA

机译:未来气候变化和人口增长导致的水资源危机:以美国犹他州的流域为例

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This study investigates annual river basin-level water criticality (ratio of available water to withdrawals) considering effects of climate change on supply and of future population change on demand. A steady-state water balance model was developed to estimate the water mass budget and disaggregate the internal and external water supply sources at a river basin level. Future precipitation and evapotranspiration were dynamically downscaled under a moderate greenhouse gas emission scenario to 4-km horizontal resolution using a regional climate model for a decade centered on 2090. The climate data were also statistically downscaled via the bias correction spatial disaggregation (BCSD) method applied to the CMIP5 (the fifth phase of the Coupled Model Intercomparison Project) archives for four emission scenarios for decades centered on 2040 and 2090. Bootstrapping and k-nearest-neighbor (k-NN) algorithms were applied to simulate future water demand and external basin supply with uncertainty. Water stress is classified into four levels: (i) very high-water stress when the water criticality ratio 1.25, (ii) high water stress when criticality ranges from 1.25 to 2.5, (iii) moderate water stress when criticality ranges from 2.5 to 10, and (iii) no water stress when criticality 10. A basin with a criticality ratio of 1 indicates that the basin demand has been exactly met by the available supply sources. Most river basins have current water criticality less than 2 and are dependent on inflow from other basins (i.e.,are not self sustaining). Future projections indicate modest increases in net available water for Utah through the end of the current century from climate change, with increasing vulnerability largely driven by population growth. Out of 11 basins, 4 achieve a high and 3 achieve a very high water stress status by the 2040s. Four basins achieve a very high water stress status by the 2090s compared to only two in a very high water stress status in the 2010s.
机译:这项研究考虑了气候变化对供应的影响以及未来人口变化对需求的影响,调查了流域每年的水临界状况(可用水与取水之比)。建立了稳态水平衡模型,以估算水量预算并分解流域一级的内部和外部供水源。使用区域气候模型(以2090年为中心),在中等温室气体排放情景下,将未来的降水和蒸散量动态缩减至4 km水平分辨率。还通过应用偏差校正空间分解(BCSD)方法对气候数据进行了统计缩减。到CMIP5(耦合模型相互比较项目的第五阶段)档案库,以2040年和2090年为中心的几十年的四个排放情景。采用自举和k最近邻算法(k-NN)来模拟未来的需水量和外部流域供应不确定。水分胁迫分为四个级别:(i)当水分临界比<1.25时出现非常高的水分胁迫;(ii)当变异系数从1.25到2.5时处于高水分胁迫;(iii)当变异系数从2.5到2.5时出现中等水分胁迫。 10,并且(iii)当临界值> 10时没有水分胁迫。临界比率为1的流域表示可用供应源已完全满足流域需求。大多数流域的当前水临界值均小于2,并且依赖于其他流域的流入量(即不是自持的)。未来的预测表明,由于气候变化,到本世纪末,犹他州的净可用水量将适度增加,而脆弱性的增加主要是由人口增长驱动的。到2040年代,在11个盆地中,有4个达到最高水位,而3个达到非常高的水分胁迫状态。到2090年代,四个盆地达到了很高的水分胁迫状态,而在2010年代只有四个盆地。

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