Xiaoliang Wang , John G. Watson, Judith C. Chow, Steven Gronstal, Steven D. Kohl

  • Division of Atmospheric Sciences, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, U.S.A.

Received: November 3, 2011
Revised: February 10, 2012
Accepted: February 10, 2012
Download Citation: ||https://doi.org/10.4209/aaqr.2011.11.0187  

  • Download: PDF

Cite this article:
Wang, X., Watson, J.G., Chow, J.C., Gronstal, S. and Kohl, S.D. (2012). An Efficient Multipollutant System for Measuring Real-World Emissions from Stationary and Mobile Sources. Aerosol Air Qual. Res. 12: 145-160. https://doi.org/10.4209/aaqr.2011.11.0187



A portable dilution sampling and measurement system was developed for measuring multipollutant emissions from stationary and mobile sources under real-world operating conditions. This system draws a sample of exhaust gas from the source, dilutes it with filtered air and quantifies total volatile organic compounds (VOCs), carbon monoxide (CO), carbon dioxide (CO2), nitric oxide (NO), nitrogen dioxide (NO2), sulfur dioxide (SO2), oxygen (O2), particle size distribution, particle number and mass concentrations, and black carbon (BC) concentration at 1–6 sec interval. Integrated samples by canisters and filter packs are acquired for laboratory analyses of VOC speciation, particle mass concentration, light absorption, elements, isotopes, ions, ammonia (NH3), hydrogen sulfide (H2S), sulfur dioxide (SO2), carbon, and organic compounds. Experiments were carried out to evaluate this system. The accuracy of key real-time instruments were found to deviate < ± 12% from references. CO2 was used as the tracer gas to verify the concentration uniformity in the three measurement modules and relative concentration difference was < 5.1%. Instrument response time was tested by emissions from lighting and burning matches. The DustTrak DRX and optical particle counter (OPC) had the fastest response time, while other instruments had 3.5–21.5 sec delay from the DustTrak DRX and OPC. This system was applied to measure emissions from burning pine logs in a wood stove. The real-time data showed flaming, transition, and smoldering phases, and allowed real-time emission ratios to be calculated. Combing real-time data and laboratory analysis, this measurement system allows the development of multipollutant emission factors and source profiles.

Keywords: PM2.5; Emission factor; Source profile; Biomass burning; Source characterization

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