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Modelling assessment of regional groundwater contamination due to historic smelter emissions of heavy metals

机译:冶炼厂历史排放的重金属造成的区域地下水污染的模型评估

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Historic emissions from ore smelters typically cause regional soil contamination. We developed a modelling approach to assess the impact of such contamination on groundwater and surface water load, coupling unsaturated zone leaching modelling with 3D groundwater transport modelling. Both historic and predictive modelling were performed, using a mass balance approach for three different catchments in the vicinity of three smelters. The catchments differ in their hydrology and geochemistry. The historic modelling results indicate that leaching to groundwater is spatially very heterogeneous due to variation in soil characteristics, in particular soil pH. In the saturated zone, cadmium is becoming strongly retarded due to strong sorption at neutral pH, even though the reactivity of the sandy sediments is low. A comparison between two datasets (from 1990 to 2002) on shallow groundwater and modelled concentrations provided a useful verification on the level of statistics of "homogeneous areas" (areas with comparable land use, soil type and geohydrological situation) instead of comparison at individual locations. While at individual locations observations and the model varies up to two orders of magnitude, for homogeneous areas, medians and ranges of measured concentrations and the model results are similar. A sensitivity analysis on metal input loads, groundwater composition and sediment geochemistry reveals that the best available information scenario based on the median value of input parameters for the model predicts the range in observed concentrations very well. However, the model results are sensitive to the sediment contents of the reactive components (organic matter, clay minerals and iron oxides). Uncertainty in metal input loads and groundwater chemistry are of lesser importance. Predictive modelling reveals a remarkable difference in geochemical and hydrological controls on subsurface metal transport at catchment-scale. Whether the surface water load will peak within a few decades or continue to increase until after 2050 depends on the dominant land use functions in the areas, their hydrology and geochemical build-up.
机译:冶炼厂的历史排放通常会造成区域土壤污染。我们开发了一种建模方法来评估此类污染对地下水和地表水负荷的影响,并将非饱和带浸出模型与3D地下水运输模型结合起来。使用质量平衡方法对三个冶炼厂附近的三个不同流域进行了历史和预测建模。流域的水文和地球化学各不相同。历史性的模拟结果表明,由于土壤特性(特别是土壤pH)的变化,向地下水的淋溶在空间上非常不均匀。在饱和区,即使在沙质沉积物中的反应性很低,由于在中性pH值下的强吸附作用,镉也变得很受阻。对两个浅层地下水数据集(1990年至2002年)和模拟浓度的比较提供了有用的验证,可以验证“同质区域”(具有可比土地用途,土壤类型和地理水文状况的区域)的统计水平,而不是在各个位置进行比较。虽然在各个位置观察和模型变化最多两个数量级,但对于均质区域,测量浓度的中位数和范围与模型结果相似。对金属输入负荷,地下水成分和沉积物地球化学的敏感性分析表明,基于模型输入参数中值的最佳可用信息方案可以很好地预测观察到的浓度范围。但是,模型结果对反应性组分(有机物,粘土矿物和氧化铁)的沉积物含量敏感。金属输入负荷和地下水化学的不确定性次要。预测模型揭示了集水规模下地下金属运输的地球化学和水文控制方面的显着差异。地表水负荷是在几十年内达到峰值还是在2050年后继续增加,取决于该地区主要的土地利用功能,其水文学和地球化学积聚。

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