| The development of empirical predictive models for monitoring, evaluating and managing diesel particulate matter (DPM) conditions in underground mines is presented in this study. The possibility of using a real-time aerosol monitor (called the DustTrak(TM), TSI Inc., St. Paul, MN) was investigated in order to obtain instant DPM concentration levels in the ambient underground mine air by calibrating the DustTrak(TM) to the MSHA's compliance instrument---the NIOSH 5040 method. This study establishes a calibration relationship between the NIOSH 5040 method of measuring DPM and the DustTrak(TM) to enable DustTrak(TM) monitoring to be used in real time to provide valid estimates of DPM levels in underground mines. The study also develops an empirical planning model/tool for estimating DPM concentrations to guide diesel equipment allocation, management of DPM conditions, and ultimately, DPM reduction.;Alternative DPM control strategies are discussed, such as filtration of mine air using HEPA filters, which seem to present a great potential. This study provides the underground mining industry with strategies and empirical models for planning and managing DPM conditions. |
