Diesel particulate matter (DPM) is carcinogenic to humans. Underground miners have a high risk of over-exposure to high concentrations of DPM. To control DPM effectively, it is essential to understand the DPM dispersion characteristics. In this study, the DPM distributions of three key and representative mining activities, shotcreting, charging and loading activity, in an underground development face were studied. A computational model for the mining activities was developed using 3D imagery, onsite data and OpenFOAM. Tracer gas experiments were first conducted in the underground mine for the validation of CFD simulation. The simulations were carried out at a steady-state using the standard k-ε turbulence model, and the transport and dispersion of DPM were modelled using a segregated species transport model. DPM distribution characteristics for each mining activity were analysed, and the regions with high concentration (>0.1 mg/m³) were identified, and the reasons for the high concentrations were also discussed. At last, the efficiency of the current auxiliary ventilation system on DPM dilution was evaluated based on the simulation results. The results show that a broader region with high DPM concentration was identified in the downstream of the loader during the loading activity, and this issue could be solved by simply increasing the ventilation rate. The findings in this paper could be used for optimizing the auxiliary ventilation design for future mining activities in this development face.

柴油颗粒物（DPM）对人类具有致癌性。地下矿工极有可能过度暴露于高浓度的DPM。为了有效地控制DPM，必须了解DPM的色散特性。在这项研究中，研究了地下开发工作面中三个主要和有代表性的采矿活动，喷射混凝土，装料和装载活动的DPM分布。使用3D图像，现场数据和OpenFOAM开发了采矿活动的计算模型。示踪气体实验首先在地下矿井中进行，以验证CFD模拟。使用标准k-ε湍流模型在稳态下进行仿真，并使用分离的物种迁移模型对DPM的迁移和扩散进行建模。³）被确定，并讨论了高浓度的原因。最后，基于仿真结果评估了当前辅助通风系统对DPM稀释的效率。结果表明，在装载过程中，在装载机的下游发现了DPM浓度较高的较宽区域，而这个问题可以通过简单地增加通风率来解决。本文的研究结果可用于优化此开发工作面中未来采矿活动的辅助通风设计。