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A modelling approach to determine the origin of urban ground water

机译:确定城市地下水来源的建模方法

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A simple modelling approach was developed to link patterns of urban land-use with ground water flow and chemistry in three dimensions and was applied to characterize the origin of recharge in the aquifer beneath the old industrial city of Nottingham, UK. The approach involved dividing land uses into types, and times into periods, and assigning the recharge from each an individual tracer-solute with a unit concentration. The computer code MT3DMS was used to track the multiple tracer-solutes in transient, three-dimensional simulations of the important urban aquifer. A depth-specific hydrochemical dataset collected in parallel supported the model predictions. At depth under the industrial area studied, a large component of ground water originated of older agricultural origin, with relatively low nitrate concentrations. Shallower ground water originated mainly from residential and industrial areas, with higher nitrate concentrations probably arising from leaking sewers and contaminated land. The results highlighted the spectrum of ground water from different origins that amalgamate even at short well screens in a non-pumped borehole and remind us that the non-point-source pollution of ground water from anthropogenic activities will involve more years of slow degradation of quality.
机译:开发了一种简单的建模方法,将城市土地利用方式与地下水流量和化学成分在三个维度上联系起来,并用于表征英国诺丁汉老工业城下的含水层的补给源。该方法涉及将土地用途划分为类型,将时间划分为时间段,并从每一个单独的示踪溶质中分配补给,其单位浓度为。在重要的城市含水层的瞬态三维模拟中,计算机代码MT3DMS用于跟踪多种示踪剂溶质。并行收集的特定深度的水化学数据集支持模型预测。在所研究的工业领域的深处,地下水的很大一部分来自较古老的农业起源,硝酸盐浓度相对较低。较浅的地下水主要来自居民区和工业区,其中较高的硝酸盐浓度可能是由于下水道泄漏和土地污染造成的。结果突显了来自不同来源的地下水频谱,即使在非抽水井眼中的短井筛网中,它们也会合并,并提醒我们,人为活动对地下水的非点源污染将导致质量下降的时间更长。 。

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