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首页> 外文期刊>Aeolian research >Development of a dust deposition forecasting model for mine tailings impoundments using in situ observations and particle transport simulations
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Development of a dust deposition forecasting model for mine tailings impoundments using in situ observations and particle transport simulations

机译：利用原位观测和颗粒迁移模拟开发矿山尾矿库粉尘沉积预测模型

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Mine tailings impoundments in arid and semiarid environments are susceptible to wind erosion due to their fine grain silt and sandy composition and lack of vegetative coverage. Aeolian transport of particulate matter from these mine tailings impoundments are potential hazards to human health due to the presence of metal and metalloid contaminants. Predicting windblown transport of mine tailings material can be a useful tool in characterizing the risk and environmental impact on neighboring communities. This work presents a model that can be used to forecast the transport and deposition of windblown dust from mine tailings impoundments. The deposition forecast model uses in situ observations from a tailings field site and theoretical simulations of aerosol transport to parameterize the model. It includes a method for simulating deposition patterns for several different size fractions and can be translated to other regions and applied to different windblown dust sources. The model was developed using data from the Iron King Mine tailings in Dewey-Humboldt, Arizona, a Superfund site that is heavily contaminated with lead and arsenic. A preliminary verification of the model was conducted using topsoil measurements of lead and arsenic as tracers of windblown dust from the tailings impoundment. The tailings tracers support the predicted deposition patterns generated by the deposition forecasting model. (C) 2015 Elsevier B.V. All rights reserved.
机译：干旱和半干旱环境中的矿山尾矿库由于其细颗粒的淤泥和沙质成分以及缺乏植物覆盖而易于遭受风蚀。由于存在金属和准金属污染物，这些矿山尾矿库的风尘运输对人体健康具有潜在危害。预测矿山尾矿材料的风吹运输可能是表征邻社区风险和环境影响的有用工具。这项工作提出了一个模型，可用于预测矿山尾矿库中风尘的迁移和沉积。沉积物预测模型使用来自尾矿现场的原位观测和气溶胶传输的理论模拟来对该模型进行参数化。它包括一种模拟几个不同尺寸分数的沉积模式的方法，可以转换到其他区域并应用于不同的风吹尘埃源。该模型是使用来自亚利桑那州杜威-洪堡的铁金矿尾矿的数据开发的，该矿床是一个被铅和砷严重污染的超级基金。该模型的初步验证是通过对铅和砷的表土测量作为尾矿库蓄积的飞尘的示踪剂而进行的。尾矿示踪剂支持沉积预测模型生成的预测沉积模式。 （C）2015 Elsevier B.V.保留所有权利。

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