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Modeling groundwater responses to climate change in the Prairie Pothole Region

机译:建模地下水应对气候变化在大草原坑洞区

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摘要

Shallow groundwater in the Prairie Pothole Region?(PPR) is predominantly recharged by snowmelt in the spring and supplies water for evapotranspiration through the summer and fall. This two-way exchange is underrepresented in current land surface models. Furthermore, the impacts of climate change on the groundwater recharge rates are uncertain. In this paper, we use a coupled land–groundwater model to investigate the hydrological cycle of shallow groundwater in the PPR and study its response to climate change at the end of the 21st?century. The results show that the model does a reasonably good job of simulating the timing of recharge. The mean water table depth?(WTD) is well simulated, except for the fact that the model predicts a deep WTD in northwestern Alberta. The most significant change under future climate conditions occurs in the winter, when warmer temperatures change the rain/snow partitioning, delaying the time for snow accumulation/soil freezing while advancing early melting/thawing. Such changes lead to an earlier start to a longer recharge season but with lower recharge rates. Different signals are shown in the eastern and western PPR in the future summer, with reduced precipitation and drier soils in the east but little change in the west. The annual recharge increased by 25 % and 50 % in the eastern and western PPR, respectively. Additionally, we found that the mean and seasonal variation of the simulated WTD are sensitive to soil properties; thus, fine-scale soil information is needed to improve groundwater simulation on the regional scale.
机译:大草原坑洞区的浅地下水?(PPR)主要通过春季融雪充电,供水以夏季和秋季供应蒸散。这种双向交换在当前的土地面积模型中经历了不足。此外,气候变化对地下水充电率的影响是不确定的。在本文中,我们使用耦合的土地地下水模型来研究PPR浅地下水的水文循环,并研究其对21世纪末的气候变化的反应。结果表明,该模型在模拟充电时机时做出了合理的工作。平均水位深度?(WTD)是良好的模拟,除了模型预测艾伯塔州西北部的深层WTD。当未来的气候条件下最重要的变化发生在冬季,当温暖的温度变化雨/雪分区时,延迟了雪积聚/土壤冻结的时间,同时推进早期熔化/解冻。这些变化导致较早的启动到更长的充电季,但充电率较低。未来夏季东部和西部PPR中显示不同的信号,东部降水量和干燥的土壤,但西方的变化很小。在东部和西部PPR分别增加了25%和50%。此外,我们发现模拟WTD的平均值和季节变化对土壤性质敏感;因此,需要细尺的土壤信息来改善区域规模的地下水模拟。

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