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Risk assessment of particle dispersion and trace element contamination from mine-waste dumps

机译:矿山垃圾场中颗粒物扩散和微量元素污染的风险评估

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In this study, a model to delimit risk zones influenced by atmospheric particle dispersion from mine-waste dumps is developed to assess their influence on the soil and the population according to the concentration of trace elements in the waste. The model is applied to the Riotinto Mine (in SW Spain), which has a long history of mining and heavy land contamination. The waste materials are separated into three clusters according to the mapping, mineralogy, and geochemical classification using cluster analysis. Two of the clusters are composed of slag, fresh pyrite, and roasted pyrite ashes, which may contain high concentrations of trace elements (e.g., > 1 % As or > 4 % Pb). The average pollution load index (PLI) calculated for As, Cd, Co, Cu, Pb, Tl, and Zn versus the baseline of the regional soil is 19. The other cluster is primarily composed of sterile rocks and ochreous tailings, and the average PLI is 3. The combination of particle dispersion calculated by a Gaussian model, the PLI, the surface area of each waste and the wind direction is used to develop a risk-assessment model with Geographic Information System GIS software. The zone of high risk can affect the agricultural soil and the population in the study area, particularly if mining activity is restarted in the near future. This model can be applied to spatial planning and environmental protection if the information is complemented with atmospheric particulate matter studies.
机译:在这项研究中,建立了一个模型来界定受排雷场中大气颗粒扩散影响的危险区,以根据废物中微量元素的浓度评估其对土壤和人口的影响。该模型适用于Riotinto矿(西班牙西南部),该矿开采历史悠久,土地污染严重。使用聚类分析,根据制图,矿物学和地球化学分类将废物分为三个聚类。其中两个簇由矿渣,新鲜黄铁矿和烤黄铁矿灰组成,其中可能含有高浓度的痕量元素(例如> 1%As或> 4%Pb)。计算得出的砷,镉,钴,铜,铅,锡和锌的平均污染负荷指数(PLI)相对于该区域土壤的基线为19。其他簇主要由无菌岩石和黄褐色尾矿组成,其平均值PLI为3。结合高斯模型计算的颗粒扩散,PLI,每种废物的表面积和风向,结合地理信息系统GIS软件开发了风险评估模型。高风险区域会影响研究区域的农业土壤和人口,特别是如果在不久的将来重新开始采矿活动时。如果信息与大气颗粒物研究相辅相成,则该模型可以应用于空间规划和环境保护。

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