School of Mining Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.
State Key Laboratory of Coal Resources and Mine Safety, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.
Environ Monit Assess. 2018 Oct 4;190(11):632. doi: 10.1007/s10661-018-7004-9.
To understand the concentration and distribution of PM2.5 and PM10 in open-pit mines, a beta-ray particle monitor and some laser monitors were arranged in Haerwusu Surface Coal Mine (HSCM), Inner Mongolia, China. A fluent simulation was made to study the dust move in the pit and escape rate and time out of the pit. The main conclusions include (1) in HSCM, the concentration of PM10 changes with that of PM2.5, meeting the power function PM10 = 2.548 × PM2.5. The dust concentration around the working mining equipment is very high. For example, around a working drill, the PM2.5 can be up to 426 μg/m, and around a working power shovel, the PM2.5 can be up to 352 μg/m. (2) At the same time, the PM2.5 concentration is nearly equal throughout the pit, away from the operating equipment, with a confidence level of 95%. The mean dust concentration away from the equipment is 76.7 μg/m when this mining equipment is working. So, the number of monitors in the pit can be decreased without affecting the quality of dust monitoring, which means that the cost of monitoring can be cut down. (3) Base on Fluent simulation results, the average escape time of dust particles with different diameters is similar, but the maximum escape time decreases as the particle diameter increases, which means that most dust moves with the air swirl, but some smaller dust particles can hang in the pit for a longer time. Also, the escape rate decreases rapidly as the diameter of the dust increases. (4) Dust is rotated and diffused evenly in the pit under the action of the eddy current in the pit. Finally, when the dust is swirled to a higher level than that of the pit head, the dust can escape out of the pit.
为了了解露天矿中 PM2.5 和 PM10 的浓度和分布情况,在中国内蒙古哈尔乌素露天煤矿(HSCM)布置了贝塔射线颗粒监测仪和一些激光监测仪。通过流畅的模拟研究了粉尘在坑内的运动和逸出率以及逸出时间。主要结论包括:(1)在 HSCM 中,PM10 的浓度随 PM2.5 的变化而变化,满足幂函数关系 PM10=2.548×PM2.5。工作采矿设备周围的粉尘浓度非常高。例如,在工作钻机周围,PM2.5 可达 426μg/m,在工作电动铲运机周围,PM2.5 可达 352μg/m。(2)同时,在远离作业设备的情况下,PM2.5 的浓度在整个矿坑中几乎相等,置信水平为 95%。当这种采矿设备工作时,远离设备的平均粉尘浓度为 76.7μg/m。因此,在不影响粉尘监测质量的情况下,可以减少矿坑内的监测器数量,这意味着可以降低监测成本。(3)基于 Fluent 模拟结果,不同粒径粉尘颗粒的平均逸出时间相似,但最大逸出时间随粒径增大而减小,这意味着大部分粉尘随空气旋转运动,但一些较小的粉尘颗粒可能在坑内停留更长时间。此外,随着粉尘直径的增大,逸出率迅速下降。(4)粉尘在坑内涡流的作用下均匀旋转和扩散。最后,当粉尘旋转到高于坑口的水平时,粉尘就可以逸出坑外。