Wang Yuan, Du Cuifeng
School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Key Laboratory of Ministry of Education for High Efficiency Exploitation and Safety of Metal Mine, Beijing 100083, China.
ACS Omega. 2021 Mar 18;6(12):8693-8699. doi: 10.1021/acsomega.1c00674. eCollection 2021 Mar 30.
Using the methods of field experiment, numerical simulation, and theoretical analysis, a deep concave open-pit mine (DCOM) geometric model is established. Ansys Fluent software is used to simulate the change in the temperature field at night in the DCOM over time and analyze the probability of the spatial distribution of the temperature inversion layer. The results show that the location inside the stope close to the southwest edge is more likely to present temperature inversion, and the location close to the northeast edge is the least likely to have temperature inversion, and the height range where temperature inversion is likely to occur is 100-0 m. The simulated results reveal a greater probability of temperature inversion at the closed circle (+80 m), which is consistent with that obtained by field observation. Through multiple nonlinear regression analysis, a prediction model of the spatial distribution probability of the temperature inversion layer is established, which provides a theoretical basis for the prediction and control of atmospheric pollution in the DCOMs.
采用现场试验、数值模拟和理论分析等方法，建立了深凹露天矿（DCOM）几何模型。利用Ansys Fluent软件模拟了深凹露天矿夜间温度场随时间的变化，并分析了逆温层空间分布的概率。结果表明，采场内靠近西南边缘的位置更易出现逆温现象，靠近东北边缘的位置出现逆温的可能性最小，逆温可能发生的高度范围为100 - 0米。模拟结果显示，在闭合圈（+80米）处逆温概率较大，这与现场观测结果一致。通过多元非线性回归分析，建立了逆温层空间分布概率预测模型，为深凹露天矿大气污染预测与控制提供了理论依据。
