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首页> 外文期刊>Rapid Communications in Mass Spectrometry: RCM >A numerical investigation of bedrock groundwater recharge and exfiltration on soil mantled hillslopes
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A numerical investigation of bedrock groundwater recharge and exfiltration on soil mantled hillslopes

机译:土壤轻型山坡上基岩地下水补给和抗滤成的数值调查

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Here we use Richards Equation models of variably saturated soil and bedrock groundwater flow to investigate first-order patterns of the coupling between soil and bedrock flow systems. We utilize a Monte Carlo sensitivity analysis to identify important hillslope parameters controlling bedrock recharge and then model the transient response of bedrock and soil flow to seasonal precipitation. Our results suggest that hillslopes can be divided into three conceptual zones of groundwater interaction, (a) the zone of lateral unsaturated soil moisture accumulation (upper portion of hillslope), (b) the zone of soil saturation and bedrock recharge (middle of hillslope) and (c) the zone of saturated-soil lateral flow and bedrock groundwater exfiltration (bottom of hillslope). Zones of groundwater interaction expand upslope during periods of precipitation and drain downslope during dry periods. The amount of water partitioned to the bedrock groundwater system a can be predicted by the ratio of bedrock to soil saturated hydraulic conductivity across a variety of hillslope configurations. Our modelled processes are qualitatively consistent with observations of shallow subsurface saturation and groundwater fluctuation on hillslopes studied in our two experimental watersheds and support a conceptual model of tightly coupled shallow and deep subsurface circulation where groundwater recharge and discharge continuously stores and releases water from longer residence time storage.
机译:在这里,我们使用可变饱和的土壤和基岩地下水流量的理查兹方程模型来研究土壤和基岩流动系统之间联轴器的一阶模式。我们利用蒙特卡罗敏感性分析来确定控制基岩充电的重要山坡参数,然后模拟基岩和土壤流动的瞬态响应和季节降水。我们的研究结果表明,山坡可分为地下水互动的三个概念区域,(a)横向不饱和土水分积累(山坡上部)区域,(b)土壤饱和和基岩充电区(山坡中间) (c)饱和土横向流动和基岩地下水exfiltration(山坡底部)区域。地下水相互作用区在干燥时期沉淀和排放落水期间扩增上坡。分开于基岩地下水系统A的水量可以通过基岩与各种山坡配置的土壤饱和液压导率的比率来预测。我们的建模过程与我们的两种实验流域学习的浅层地下饱和度和地下水波动的观察结果进行了定性,并且支持紧密耦合浅层和深层地下循环的概念模型,地下水再充电和排放不断储存并释放来自更长的停留时间的水贮存。

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