Real-time estimation of elemental carbon emitted from a diesel engine.
Miller-AL; Habjan-MC; Park-K
Environ Sci Technol 2007 Aug; 41(16):5783-5788
New Mining Safety and Health Administration (MSHA) regulations limit the mass concentration of airborne diesel particulate matter (DPM) or, more specifically, the concentration of elemental carbon (EC in underground mines. The mine operators are responding by introducing a variety of controls to reduce DPM in the mines, potentially including the evaluation of new maintenance procedures to reduce underground mine vehicle emissions. There is currently a lack of an inexpensive and dependable method to directly measure the DPM concentration emitted from the vehicle tailpipe. To that end, this work demonstrated a simple field portable method for estimating the mass concentration of elemental carbon exiting the tailpipe of a diesel engine using a direct reading photometer. Simultaneous measurements of tailpipe exhaust were made with a Thermo Electron Personal DataRAM 1200 photometer (particulate mass concentration based on light scattering) and by analyzing PM2.5 and PM1.0 samples collected on quartz fiber filters using the National Institute of Occupational Safety and Health (NIOSH) method 5040 (mass concentration of EC via thermal-optical method). Results indicate surprisingly good correlation (R-2 = 0.97) of the two methods when the data are adjusted for relative humidity (RH) and corrected using an empirically generated calibration factor. Although preliminary, it may be possible to implement this method in maintenance shops to monitor emission trends and to compare emissions of various vehicles in a fleet. Such data will be useful for fleet planning to meet new air quality standards.
Analytical-methods; Analytical-models; Analytical-processes; Mine-workers; Mining-industry; Dust-exposure; Dust-inhalation; Dust-particles; Dust-control; Emission-sources; Fumes; Diesel-emissions; Diesel-exhausts; Particulate-dust; Particle-counters; Particulates; Air-treatment; Airborne-particles; Statistical-analysis; Statistical-quality-control
AL Miller, NIOSH, Washington, DC 20201
Environmental Science and Technology