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Modeling the emission, transport and deposition of contaminated dust from a mine tailing site

机译：模拟来自矿山尾矿场的污染粉尘的排放，运输和沉积

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摘要

Mining operations are potential sources of airborne particulate metal and metalloid contaminants through both direct smelter emissions and wind erosion of mine tailings. The warmer, drier conditions predicted for the Southwestern US by climate models may make contaminated atmospheric dust and aerosols increasingly important, due to potential deleterious effects on human health and ecology. Dust emissions and dispersion of contaminants from the Iron King Mine tailings in Dewey-Humboldt, Arizona, a Superfund site, are currently being investigated through in situ field measurements and computational fluid dynamics modeling. These tailings are significantly contaminated with lead and arsenic with an average soil concentration of 1616 and 1420 ppm, respectively. Similar levels of these contaminants have also been measured in soil samples taken from the area surrounding the mine tailings. Using a computational fluid dynamics model, we have been able to model dust transport from the mine tailings to the surrounding region. The model includes a distributed Eulerian model to simulate fine aerosol transport and a Lagrangian approach to model fate and transport of larger particles. In order to improve the accuracy of the dust transport simulations both regional topographical features and local weather patterns have been incorporated into the model simulations.
机译：通过直接冶炼厂排放和矿山尾矿的风蚀，采矿作业是气载金属和类金属污染物的潜在来源。由于对人类健康和生态的潜在有害影响，气候模型预测的美国西南部较暖和干燥的条件可能使受污染的大气尘埃和气溶胶变得越来越重要。目前正在通过现场现场测量和计算流体动力学模型研究来自亚利桑那州杜威-洪堡特（Superwey）站点的铁王矿尾矿的粉尘排放和污染物扩散。这些尾矿被铅和砷污染严重，平均土壤浓度分别为1616和1420 ppm。从矿山尾矿周围地区采集的土壤样品中也测量到了类似水平的这些污染物。使用计算流体动力学模型，我们已经能够对从矿山尾矿到周围区域的粉尘传输进行建模。该模型包括用于模拟精细气溶胶传输的分布式欧拉模型，以及用于模拟较大颗粒的命运和传输的拉格朗日方法。为了提高粉尘输送模拟的准确性，区域地形特征和局部天气模式均已纳入模型模拟。

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