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Windblown Dust Deposition Forecasting and Spread of Contamination around Mine Tailings

机译:尾矿周围的风尘沉积预测和污染扩散

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Wind erosion, transport and deposition of windblown dust from anthropogenic sources, such as mine tailings impoundments, can have significant effects on the surrounding environment. The lack of vegetation and the vertical protrusion of the mine tailings above the neighboring terrain make the tailings susceptible to wind erosion. Modeling the erosion, transport and deposition of particulate matter from mine tailings is a challenge for many reasons, including heterogeneity of the soil surface, vegetative canopy coverage, dynamic meteorological conditions and topographic influences. In this work, a previously developed Deposition Forecasting Model (DFM) that is specifically designed to model the transport of particulate matter from mine tailings impoundments is verified using dust collection and topsoil measurements. The DFM is initialized using data from an operational Weather Research and Forecasting (WRF) model. The forecast deposition patterns are compared to dust collected by inverted-disc samplers and determined through gravimetric, chemical composition and lead isotopic analysis. The DFM is capable of predicting dust deposition patterns from the tailings impoundment to the surrounding area. The methodology and approach employed in this work can be generalized to other contaminated sites from which dust transport to the local environment can be assessed as a potential route for human exposure.
机译:来自人为来源(例如矿山尾矿库)的风吹尘,风吹尘埃的运输和沉积会对周围环境产生重大影响。缺乏植被以及邻近区域上方的矿山尾矿在垂直方向上突出,使这些尾矿易于遭受风蚀。出于多种原因,对矿山尾矿中颗粒物的侵蚀,运输和沉积进行建模是一个挑战,其中包括土壤表面的异质性,植物冠层的覆盖,动态气象条件和地形影响。在这项工作中,使用粉尘收集和表土测量方法验证了先前开发的沉积预测模型(DFM),该模型专门设计用于模拟矿山尾矿库中颗粒物的运输。使用可操作的天气研究和预报(WRF)模型中的数据初始化DFM。将预测的沉积模式与倒盘采样器收集的粉尘进行比较,并通过重量分析,化学组成和铅同位素分析确定。 DFM能够预测从尾矿库房到周围区域的灰尘沉积模式。这项工作中采用的方法和方法可以推广到其他受污染的地点,从这些地点可以将粉尘向当地环境的运输评估为潜在的人类接触途径。

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