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首页> 外文期刊>Soil & Sediment Contamination >Assessing the risk of soil pollution around an industrialized mining region using a geostatistical approach.
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Assessing the risk of soil pollution around an industrialized mining region using a geostatistical approach.

机译:使用地统计方法评估工业化采矿区周围土壤污染的风险。

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摘要

Knowledge of mobility of some heavy metals in coal mining areas is fundamental in order to understand their toxicity and geochemical behavior. This paper aims to map pollution and assess the risk to agricultural soils in a wider lignite opencast mining and industrial area. Geochemical data related to environmental studies show that the waste characteristics favor solubilization and mobilization of inorganic contaminants. The geochemical distribution of soil pollution is studied by the application of the Bayesian Maximum Entropy (BME) procedure, a versatile extension of geostatistics which allows merging spatial and temporal estimations in a single model. Results reveal a correlation range of contaminants concentrations up to 5000 m and indicate a potential forecasting range of up to five years. Inspection of the produced spatiotemporal maps indicates that the whole study area is contaminated by As and various heavy metals, a situation which seems to be more or less stable over time.
机译:为了了解某些重金属的毒性和地球化学行为,必须了解煤矿地区某些重金属的迁移率。本文旨在绘制污染图并评估更广泛的褐煤露天采矿和工业区对农业土壤的风险。与环境研究相关的地球化学数据表明,废物特性有利于无机污染物的溶解和迁移。通过应用贝叶斯最大熵(BME)方法研究土壤污染的地球化学分布,该方法是地统计学的一种通用扩展,它允许将空间和时间估计合并在一个模型中。结果表明,污染物浓度的相关范围最高达5000 m,并表明可能的预测范围最长达5年。检查所产生的时空图表明,整个研究区域都被砷和各种重金属污染,这种情况随着时间的推移似乎或多或少是稳定的。

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