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Global modeling of withdrawal, allocation and consumptive use of surface water and groundwater resources

机译:地表水和地下水资源的抽取,分配和消耗性使用的全球模型

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摘要

To sustain growing food demand and increasing standard of living, globalwater withdrawal and consumptive water use have been increasing rapidly. Toanalyze the human perturbation on water resources consistently over largescales, a number of macro-scale hydrological models (MHMs) have beendeveloped in recent decades. However, few models consider the interactionbetween terrestrial water fluxes, and human activities and associated wateruse, and even fewer models distinguish water use from surface water andgroundwater resources. Here, we couple a global water demand model with aglobal hydrological model and dynamically simulate daily water withdrawaland consumptive water use over the period 1979–2010, using two re-analysisproducts: ERA-Interim and MERRA. We explicitly take into account the mutualfeedback between supply and demand, and implement a newly developed waterallocation scheme to distinguish surface water and groundwater use.Moreover, we include a new irrigation scheme, which works dynamically with adaily surface and soil water balance, and incorporate the newly availableextensive Global Reservoir and Dams data set (GRanD). Simulated surface water andgroundwater withdrawals generally show good agreement with reported nationaland subnational statistics. The results show a consistent increase in bothsurface water and groundwater use worldwide, with a more rapid increase ingroundwater use since the 1990s. Human impacts on terrestrial water storage(TWS) signals are evident, altering the seasonal and interannualvariability. This alteration is particularly large over heavily regulatedbasins such as the Colorado and the Columbia, and over the major irrigatedbasins such as the Mississippi, the Indus, and the Ganges. Including humanwater use and associated reservoir operations generally improves thecorrelation of simulated TWS anomalies with those of the GRACE observations.
机译:为了维持不断增长的粮食需求和不断提高的生活水平,全球取水量和耗水量一直在迅速增加。为了持续不断地大规模地分析人类对水资源的干扰,近几十年来已经开发了许多宏观水文模型(MHM)。但是,很少有模型考虑到地面水通量与人类活动和相关的用水之间的相互作用,甚至很少有模型将水的使用与地表水和地下水资源区分开。在这里,我们将全球需水量模型与全球水文模型结合起来,并使用两种再分析产品:ERA-Interim和MERRA,动态模拟了1979-2010年期间的每日取水量和耗水量。我们明确考虑了供需之间的相互反馈,并实施了新开发的水分配方案以区分地表水和地下水的使用,此外,我们还包括一个新的灌溉方案,该方案可动态地处理每日的地表水和土壤水平衡,并结合了最新可用的广泛的全球水库和大坝数据集(GRanD)。模拟的地表水和地下水取水量总体上与报告的国家和地方以下统计数据吻合良好。结果表明,自1990年代以来,全世界的地表水和地下水使用量一直在增加,而地下水的使用量则以更快的速度增长。人类对陆地储水(TWS)信号的影响显而易见,从而改变了季节和年际变化。在科罗拉多州和哥伦比亚等受严格管制的流域以及密西西比州,印度河和恒河等主要灌溉流域中,这种变化特别大。包括人类用水和相关的水库运行,通常可以改善模拟的TWS异常与GRACE观测值的相关性。

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