Formation of secondary organic material from gaseous precursors in wood smoke

References

• Cropper, P. M., N. Bhardwaj, D. K. Overson, J. C. Hansen, D. J. Eatough, R. A. Cary, R. Kuprov, and M. Baasandor. 2010. Source apportionment analysis of winter 2016 Neil Armstrong Academy data (West Valley City, Utah). Atmos. Environ. 219 (68):1–12.
   Google Scholar
• Cropper, P., N. Bhardwaj, D. K. Overson, J. C. Hansen, D. J. Eatough, R. A. Cary, R. Kuprov, and M. Baasandor. 2019. PMF analysis of winter 2016 Neil Armstrong Academy Data (West Valley City, UT). Atmos. Environ. 219:116971. doi:10.1016/j.atmosenv.2019.116971.
   Web of Science ®Google Scholar
• Cropper, P. M., D. J. Eatough, D. K. Overson, J. C. Hansen, F. Caka, and R. A. Cary. 2018. Use of a gas chromatography–mass spectrometry organic aerosol monitor for in-field detection of fine particulate organic compounds in source apportionment. J. Air Waste Manage. Assoc. 68 (5):390–402. doi:10.1080/10962247.2017.1363095.
   PubMed Web of Science ®Google Scholar
• Cropper, P. M., D. K. Overson, R. A. Cary, D. J. Eatough, J. C. Chow, and J. C. Hansen. 2017. Development of the GC-MS organic aerosol monitor (GC-MS OAM) for in-field detection of particulate organic compounds. Atmos. Environ. 169:258–66. doi:10.1016/j.atmosenv.2017.09.019.
   Web of Science ®Google Scholar
• Eatough, D. J., and R. Farber. 2009. Apportioning visibility degradation to sources of PM 2.5 using positive matrix factorization. J. Air Waste Manage. Assoc. 59 (9):1092–110. doi:10.3155/1047-3289.59.9.1092.
   Web of Science ®Google Scholar
• Eatough, D. J., B. D. Grover, W. R. Woolwine, N. L. Eatough, R. Long, and R. Farber. 2008. Source apportionment of 1h semi-continuous data during the 2005 study of Organic Aerosols in Riverside (SOAR) using positive matrix factorization. Atmos. Environ. 42 (11):2706–19. doi:10.1016/j.atmosenv.2007.07.038.
   Web of Science ®Google Scholar
• Elsasser, M., M. Crippa, J. Orasche, P. F. DeCarlo, M. Oster, M. Pitz, J. Cyrys, T. L. Gustafson, J. B. C. Pettersson, J. Schnelle-Kreis, et al. 2012. Organic molecular markers and signature from wood combustion particles in winter ambient aerosols: Aerosol mass spectrometer (AMS) and high time-resolved GC-MS measurements in Augsburg, Germany. Atmos. Chem. Phys. 12 (14):6113–28. doi:10.5194/acp-12-6113-2012.
   Web of Science ®Google Scholar
• Garofalo, L. A., B. P. Palm, J. A. Thornton, R. P. Pokhrel, S. M. Murphy, S. M. Kreidenweis, and D. K. Farmer. 2021. Emission and evolution of submicron organic aerosol in wildfire smoke: Aerosol mass, chemical composition, and optical properties. Proceedings, Armospheric Optics: Aerosols, Visibility, and the Radiative Balance. Bryce Canyon Utah: Air and Waste Management Association.
   Google Scholar
• Grover, B. D., and D. J. Eatough. 2008. Source apportionment of one-hour semi-continuous data using positive matrix factorization with total mass (Nonvolatile plus Semi-Volatile) measured by the R&P FDMS monitor. Aerosol Sci. Technol. 42 (1):28–39. doi:10.1080/02786820701787910.
   Web of Science ®Google Scholar
• Grover, B., N. L. Eatough, P. K. Hopke, and D. J. Eatough. 2004. Measurement of fine particulate mass, including the semi-volatile constituents, with a GRIMM monitor. Proceedings of the Symposium on Air Quality Measurement Methods and Technology. Pittsburgh, PA: A&WMA.
   Google Scholar
• Grover, B., N. L. Eatough, P. K. Hopke, and D. J. Eatough. 2008. Measurement of fine particulate mass, including the semi-volatile constituents, with a GRIMM monitor. Proceedings, Measurements Symposium, Air and Waste Management Association, Paper # 51, Chapel Hill, NC.
   Google Scholar
• Hansen, J., and D. J. Eatough. 2020. Bountiful city Dichloromethane and Formaldehyde apportionment study, final report to the Utah division of air quality.
   Google Scholar
• Hansen, J. C., R. W. Woods, B. L. Bates, J. M. Clark, R. Y. Kuprov, P. Mukherjee, J. A. Murray, M. A. Simmons, M. F. Waite, N. L. Eatough, et al. 2010. Semicontinuous PM 2.5 and PM 10 mass and composition measurements in Lindon, Utah, during Winter 2007. J. Air Waste Manage. Assoc. 60 (3):346–55. doi:10.3155/1047-3289.60.3.346.
   Web of Science ®Google Scholar
• Hopke, P. K., Q. Dai, L. Li, and Y. Feng. 2020. Global review of recent source apportionments for airborne particulate matter. Sci. Total Environ. 740:140091. doi:10.1016/j.scitotenv.2020.140091.
   PubMed Web of Science ®Google Scholar
• Lin, L., M. L. Lee, and D. J. Eatough. 2010. Review: Recent advances in detection of organic compound markers in fine particulate matters and their use for source apportionment. J. Air Waste Manage. Assoc. 60 (1):3–25. doi:10.3155/1047-3289.60.1.3.
   Web of Science ®Google Scholar
• Long, R. W., N. L. Eatough, N. F. Mangelson, W. Thompson, K. Fiet, R. Eatough, D. J. Smith, C. A. Wilson, and W. E. Pope. 2003. The measurement of PM2.5, INCLUDING SEMI-VOLATILE COMPOnents, in the EMPACT program: Results from the Salt Lake City Study. Atmos. Environ. 37 (31):4407–17. doi:10.1016/S1352-2310(03)00585-5.
   Web of Science ®Google Scholar
• Long, R. W., R. Smith, S. Smith, N. L. Eatough, N. F. Mangelson, D. J. Eatough, C. A. Pope, III, and W. E. Wilson. 2002. Sources of Fine Particulate Material Along The Wasatch Front. Energy Fuels 16 (2):282–93. doi:10.1021/ef010168l.
   Web of Science ®Google Scholar
• Pancras, J. P., M. Landis, G. A. Norris, R. Vedantham, and J. T. Dvonch. 2013. Source apportionment of ambient fine particulate matter in Dearborn, Michigan, using hourly resolved PM component composition data. Sci. Tot. Environ. 448:2–13. doi:10.1016/j.scitotenv.2012.11.083.
   PubMed Web of Science ®Google Scholar
• Pancras, J. P., R. Vedanthan, M. S. Landis, G. A. Norris, and J. M. Ondov. 2011. Application of EPA unmix and nonparametric wind regression on high time resolution trace elements and speciated Mercury in Tampa, Florida Aerosol. Environ. Sci. Technol. 45 (8):3511–18. doi:10.1021/es103400h.
   PubMed Web of Science ®Google Scholar