Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 10049, China.
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 10049, China.
Environ Int. 2019 Jul;128:201-209. doi: 10.1016/j.envint.2019.04.050. Epub 2019 May 3.
The road dust found in mining areas is composed of dust from multiple sources, including wind transported mineral dust from mines and tailings as well as uncovered trucks leakage. Collectively, these are then distributed via wind and traffic activity, becoming an important source of particulate matter (PM) and subsequently inhaled by pedestrians. A common practice in previous road dust risk assessments has regarded them as soil, which likely led to a significant underestimation of the actual inhaled amount. To more accurately understand the inhalation risk presented by road dust in mining areas, the study applied a detailed pollution analysis and dust dispersion model to assess the inhaled amount of road dust. Road dust samples located at different distances to the mine and tailings were collected and sieved to 10 μm (RD10). Enrichment factors (EFs) of Ce, As, Cd, and Mo exceeded 20 across most sampled sites, suggesting extreme pollution. Source analysis indicated that most of the collected RD10 had greater than half of its mass originating from the mine. To assess the risk presented by inhalation exposure to local populations, we built a method using Gaussian diffusion model and two exposure scenarios for both adults and children were considered. The level of simulated particle concentrations was comparable to that described in the literature; the inhalation of potential toxic elements (PTEs) in RD10 led to health risks for both adults and children (adult and child HI > 1, with adults CR in industrial areas >10). Results also indicated that a ten-fold reduction of silt load resulted in a >4-fold decrease in risk. Collectively, the results suggest that fine road dust is a potential hotspot for mineral exposure in populations living around a mine and its tailings; moreover, that effective prevention measures like road cleaning and truck regulation are urgently needed.
矿区道路灰尘由多种来源的灰尘组成,包括来自矿山和尾矿的风运矿物灰尘以及未覆盖的卡车泄漏物。这些灰尘会在风和交通活动的共同作用下扩散,成为颗粒物(PM)的重要来源,并随后被行人吸入。在以前的道路灰尘风险评估中,一种常见的做法是将其视为土壤,这可能导致对实际吸入量的严重低估。为了更准确地了解矿区道路灰尘带来的吸入风险,本研究应用详细的污染分析和灰尘扩散模型来评估道路灰尘的吸入量。采集了位于不同距离矿山和尾矿的道路灰尘样本并进行筛分至 10μm(RD10)。在大多数采样点,Ce、As、Cd 和 Mo 的富集因子(EF)均超过 20,表明存在极端污染。源分析表明,采集的 RD10 中大部分质量都来自矿山。为了评估当地居民因吸入暴露而面临的风险,我们构建了一种使用高斯扩散模型的方法,并考虑了两种针对成人和儿童的暴露情景。模拟的颗粒浓度水平与文献中描述的水平相当;吸入 RD10 中的潜在有毒元素(PTE)对成人和儿童均构成健康风险(成人和儿童 HI>1,成人 CR 在工业区>10)。结果还表明,减少十倍的泥沙负荷会使风险降低四倍以上。综上所述,结果表明,生活在矿山及其尾矿周围的人群中,细粒道路灰尘是矿物暴露的潜在热点;此外,迫切需要采取有效的预防措施,如道路清洁和卡车监管。