George Allen This email address is being protected from spambots. You need JavaScript enabled to view it., Lisa Rector

Northeast States for Coordinated Air Use Management, Boston MA 02111, USA


Received: January 29, 2020
Revised: April 29, 2020
Accepted: June 13, 2020

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.2020.01.0005  

  • Download: PDF


Cite this article:

Allen, G. and Rector, L. (2020). Characterization of Residential Woodsmoke PM2.5 in the Adirondacks of New York. Aerosol Air Qual. Res. 20: 2419–2432. https://doi.org/10.4209/aaqr.2020.01.0005


HIGHLIGHTS

  • Woodsmoke from residential wood heating can be a dominant source of winter PM2.5.
  • A paired site design identified local PM sources relative to larger spatial scales.
  • Hourly PM2.5 measurements between paired sites were not well correlated.
  • PM2.5 peaked overnight at all sites, with minimums observed during daytime hours.
  • One site was repeatedly influenced by 2-cycle snowmobile exhaust in the early evening.
 

ABSTRACT


Although woodsmoke from residential wood heating can be the dominant source of winter PM2.5 in rural areas, routine monitoring is done primarily in urban or suburban areas. To obtain data on elevated woodsmoke concentrations from nearby sources, the PM2.5, black carbon at 880 and 370 nm, particle-bound polycyclic aromatic hydrocarbons (PAHs), and wind speed and direction were measured during winter at three residential locations in Saranac Lake, New York. A paired-site design enabled the identification of local sources relative to larger spatial scales. With the exception of occasional regional PM events, the hourly measurements of this pollutant between the paired sites exhibited poor correlations, suggesting that local woodsmoke was responsible for the observed increases in PM values. One location that was adjacent to a residence with a wood stove, which was 40 meters from the monitoring site, experienced repeated episodes of elevated PM2.5 concentrations, with a maximum 3-hour average of 150 µg m–3, a maximum 24-hour rolling average of 64 µg m–3, and a maximum midnight-to-midnight average of 46 µg m–3. Despite these PM events, the data indicated that this location was likely in compliance with the current U.S. EPA National Ambient Air Quality Standards (NAAQS) for PM2.5. The daily PM2.5 concentration peaked and troughed during the nighttime and the daytime, respectively, at all of the sites, which is consistent with local ground-level pollution sources, such as woodsmoke; this diel pattern was also confirmed by Aaethalometer Delta-C (DC) data, a woodsmoke PM indicator. The particle-bound PAH data was less specific than the DC data to the PM in the woodsmoke, partly because the instrument for the former also responds to traffic pollution. One site repeatedly displayed the influence of 2-cycle engine snowmobile exhaust during the early evening hours, with very high PAH concentrations but only modestly elevated DC concentrations. Subsequent tests showed that fresh 2-cycle small engine exhaust produces a somewhat weaker response than woodsmoke in the DC in terms of the concentration per unit of PM.


Keywords: Biomass burning; Black carbon; Carbonaceous aerosols; Optical properties; Polycyclic aromatic hydrocarbon.



REFERENCES


  1. Achilleos, S., Kioumourtzoglou, M.A., Wu, C.D., Schwartz, J.D., Koutrakis, P. and Papatheodorou, S.I. (2017). Acute effects of fine particulate matter constituents on mortality: A systematic review and meta-regression analysis. Environ. Int. 109: 89–100. [Publisher Site]

  2. Allen, G.A., Babich, P. and Poirot, R.L. (2004). Evaluation of a new approach for real time assessment of woodsmoke PM, Proceedings of the Regional and Global Perspectives on Haze: Causes, Consequences, and Controversies, Air and Waste Management Association Visibility Specialty Conference. (pp. 25–29). [Website Link]
  3. Allen, G.A., Miller, P.J., Rector, L.J., Brauer, M. and Su, J.G. (2011). Characterization of valley winter woodsmoke concentrations in Northern NY using highly time-resolved measurements. Aerosol Air Qual. Res. 11: 519–530. [Publisher Site]

  4. Bari, M.A., Baumbach, G., Kuch, B. and Scheffknecht, G. (2010). Temporal variation and impact of woodsmoke pollution on a residential area in southern Germany. Atmos. Environ. 44: 3823–3832. [Publisher Site]

  5. Bari, M.A., Baumbach, G., Kuch, B. and Scheffknecht, G. (2011). Air pollution in residential areas from wood-fired heating. Aerosol Air Qual. Res. 11: 749–757. [Publisher Site]

  6. Bertrand, A., Stefenelli, G., Bruns, E.A., Pieber, S.M., Temime-Roussel, B., Slowik, J.G., Prévôt, A.S.H., Wortham, H., El Haddad, I. and Marchand, N. (2017). Primary emissions and secondary aerosol production potential from woodstoves for residential heating: Influence of the stove technology and combustion efficiency. Atmos. Environ. 169: 65–79. [Publisher Site]

  7. Blanchard, C.L., Shaw, S.L., Edgerton, E.S. and Schwab, J.J. (2019). Emission influences on air pollutant concentrations in New York state: II. PM2.5 organic and elemental carbon constituents. Atmos. Environ. 3: 100039. [Publisher Site]

  8. Bølling, A.K., Totlandsdal, A.I., Sallsten, G., Braun, A., Westerholm, R., Bergvall, C., Boman, J., Dahlman, H.J., Sehlstedt, M., Cassee, F., Sandstrom, T., Schwarze, P.E. and Herseth, J.I. (2012). Woodsmoke particles from different combustion phases induce similar pro-inflammatory effects in a co-culture of monocyte and pneumocyte cell lines. Part. Fibre Toxicol. 9: 45. [Publisher Site]

  9. Congressional Research Service (2018). EPA’s Wood Stove / Wood Heater Regulations: Frequently Asked Questions. [Website Link]

  10. Danielsen, P.H., Møller, P., Jensen, K.A., Sharma, A.K., Wallin, H., Bossi, R., Autrup, H., Mølhave, L., Ravanat, J.L., Briedé, J.J., de Kok, T.M. and Loft, S. (2011). Oxidative stress, DNA damage, and inflammation induced by ambient air and woodsmoke particulate matter in human A549 and THP-1 cell lines. Chem. Res. Toxicol. 24: 168–184. [Publisher Site]

  11. Di, Q., Dai, L., Wang, Y., Zanobetti, A., Choirat, C., Schwartz, J.D. and Dominici, F. (2017a). Association of short-term exposure to air pollution with mortality in older adults. J. Am. Med. Assoc. 318: 2446–2456. [Publisher Site]

  12. Di, Q., Wang, Y., Zanobetti, A., Wang, Y., Koutrakis, P., Choirat, C., Dominici, F. and Schwartz, J.D. (2017b). Air pollution and mortality in the Medicare population. N. Engl. J. Med. 376: 2513–2522. [Publisher Site]

  13. Glasius, M., Ketzel, M., Wåhlin, P., Jensen, B., Mønster, J., Berkowicz, R. and Palmgren, F. (2006). Impact of wood combustion on particle levels in a residential area in Denmark. Atmos. Environ. 40: 7115–7124. [Publisher Site]|

  14. Grange, S.K., Salmond, J.A., Trompetter, W.J., Davy, P.K. and Ancelet, T. (2013). Effect of atmospheric stability on the impact of domestic wood combustion to air quality of a small urban township in winter. Atmos. Environ. 70: 28–38. [Publisher Site]

  15. Hedberg, E., Johansson, C., Johansson, L., Swietlicki, E. and Brorström-Lundén, E. (2006). Is levoglucosan a suitable quantitative tracer for wood burning? Comparison with receptor modeling on trace elements in Lycksele, Sweden. J. Air. Waste Manage. Assoc. 56: 1669–1678. [Publisher Site]

  16. Hellén, H., Hakola, H., Haaparanta, S., Pietarila, H. and Kauhaniemi, M. (2008). Influence of residential wood combustion on local air quality. Sci. Total Environ. 393: 283–290. [Publisher Site]

  17. Henry, R., Norris, G.A., Vedantham, R. and Turner, J.R. (2009). Source region identification using kernel smoothing. Environ. Sci. Technol. 43: 4090–4097. [Publisher Site]

  18. Henry, R.C., Chang, Y.S. and Spiegelman, C.H. (2002). Locating nearby sources of air pollution by nonparametric regression of atmospheric concentrations on wind direction. Atmos. Environ. 36: 2237–2244. [Publisher Site]

  19. Jeong, C.H., Evans, G.J., Dann, T., Graham, M., Herod, D., Dabek-Zlotorzynska, E., Mathieu, D., Ding, L. and Wang, D. (2008). Influence of biomass burning on wintertime fine particulate matter: source contribution at a valley site in rural British Columbia. Atmos. Environ. 42: 3684–3699. [Publisher Site]

  20. Jones, K., Schwarzhoff, P., Teakles, A. and Vingarzan, R. (2011). Residential Wood Combustion PM2.5 Sampling Project Whitehorse, Yukon–Winter 2009. Meteorological Service of Canada, Environment Canada, Pacific and Yukon Region. [PDF Link]

  21. Kelly, K.E., Sarofim, A.F., Lighty, J.S., Arnott, W.P., Rogers, C.F., Zielinska, B. and Prather, K.A. (2003). User guide for characterizing particulate matter: Evaluation of several real-time methods. University of Utah, Institute for Clean and Secure Energy. [Publisher Site]

  22. Krecl, P., Ström, J. and Johansson, C. (2008). Diurnal variation of atmospheric aerosol during the wood combustion season in Northern Sweden. Atmos. Environ. 42: 4113–4125. [Publisher Site]

  23. Larson, T., Su, J., Baribeau, A.M., Buzzelli, M., Setton, E. aand Brauer, M. (2007). A spatial model of urban winter woodsmoke concentrations. Environ. Sci. Technol. 41: 2429–2436. [Publisher Site]

  24. Li, M., Fan, X., Zhu, M., Zou, C., Song, J., Wei, S., Jia, W. and Peng, P.A. (2018). Abundance and light absorption properties of brown carbon emitted from residential coal combustion in China. Environ. Sci. Technol. 53: 595–603. [Publisher Site]

  25. Loeppky, J.A., Cagle, A.S., Sherriff, M., Lindsay, A. and Willis, P. (2013). A local initiative for mobile monitoring to measure residential woodsmoke concentration and distribution. Air Qual. Atmos. Health 6: 641–653. [Publisher Site]

  26. Makar, M., Antonelli, J., Di, Q., Cutler, D., Schwartz, J. and Dominici, F. (2017). Estimating the causal effect of low levels of fine particulate matter on hospitalization. Epidemiology 28: 627–634. [Publisher Site]

  27. Martin, M., Tritscher, T., Juranyi, Z., Heringa, M.F., Sierau, B., Weingartner, E., Chirico, R., Gysel, M., Prévôt, A.S.H., Baltensperger, U. and Lohmann, U. (2013). Hygroscopic properties of fresh and aged wood burning particles. J. Aerosol Sci. 56: 15–29. [Publisher Site]

  28. Masiol, M., Squizzato, S., Rich, D.Q. and Hopke, P.K. (2019). Long-term trends (2005–2016) of source apportioned PM2.5 across New York State. Atmos. Environ. 201: 110–120. [Publisher Site]

  29. Naeher, L.P., Brauer, M., Lipsett, M., Zelikoff, J.T., Simpson, C.D., Koenig, J.Q. and Smith, K.R. (2007). Woodsmoke health effects: A review. Inhalation Toxicol. 19: 67–106. [Publisher Site]

  30. New York State Department of Health (NYS-DOH) (2013). Fine particulate matter concentrations in outdoor air near outdoor wood-fired boilers. [Website Link]

  31. Olson, M.R., Victoria Garcia, M., Robinson, M.A., Van Rooy, P., Dietenberger, M.A., Bergin, M. and Schauer, J.J. (2015). Investigation of black and brown carbon multiple‐wavelength‐dependent light absorption from biomass and fossil fuel combustion source emissions. J. Geophys. Res. 120: 6682–6697. [Publisher Site]

  32. Park, S.S., Hansen, A.D.A. and Cho, S.Y. (2010). Measurement of real time black carbon for investigating spot loading effects of Aethalometer data. Atmos. Environ. 44: 1449–1455. [Publisher Site]

  33. Ranasinghe, D.R., Choi, W., Winer, A.M. and Paulson, S.E. (2016). Developing high spatial resolution concentration maps using mobile air quality measurements. Aerosol Air Qual. Res. 16: 1841–1853. [Publisher Site]

  34. Robinson, D.L., Monro, J.M. and Campbell, E.A. (2007). Spatial variability and population exposure to PM2.5 pollution from woodsmoke in a New South Wales country town. Atmos. Environ. 41: 5464–5478. [Publisher Site]

  35. Schwartz, J., Austin, E., Bind, M.A., Zanobetti, A. and Koutrakis, P. (2015). Estimating causal associations of fine particles with daily deaths in Boston. Am. J. Epidemiol. 182: 644–650. [Publisher Site]

  36. Schwartz, J., Bind, M.A. and Koutrakis, P. (2017). Estimating causal effects of local air pollution on daily deaths: effect of low levels. Environ. Health Perspect. 125: 3–29. [Publisher Site]

  37. Shi, L., Zanobetti, A., Kloog, I., Coull, B.A., Koutrakis, P., Melly, S.J. and Schwartz, J.D. (2015). Low-concentration PM2.5 and mortality: estimating acute and chronic effects in a population-based study. Environ. Health Perspect. 124: 46–52. [Publisher Site]

  38. Snyder, D.C. (2012). LADCO Midwest woodsmoke study: Grand rapids case study. Final Report. [Website Link]

  39. Su, J.G., Allen, G., Miller, P.J. and Brauer, M. (2013). Spatial modeling of residential woodsmoke across a non-urban upstate New York region. Air Qual. Atmos. Health 6: 85–94. [Publisher Site]

  40. Su, J.G., Hopke, P.K., Tian, Y., Baldwin, N., Thurston, S.W., Evans, K. and Rich, D.Q. (2015). Modeling particulate matter concentrations measured through mobile monitoring in a deletion/substitution/addition approach. Atmos. Environ. 122: 477–483. [Publisher Site]

  41. Thatcher, T.L., Kirchstetter, T.W., Tan, S.H., Malejan, C.J. and Ward, C.E. (2014). Near-Field Variability of Residential Woodsmoke Concentrations. Atmos. Clim. Sci. 4: 622. [Publisher Site]

  42. U.S EPA (2018a). 2014 National Emissions Inventory Report. [Website Link]

  43. U.S EPA (2018b). 2014 National Air Toxics Assessment. [Website Link]

  44. U.S. EPA (2018c). Technical Assistance Document for the Reporting of Daily Air Quality - the Air Quality Index (AQI). [PDF Link]

  45. Virkkula, A., Mäkelä, T., Hillamo, R., Yli-Tuomi, T., Hirsikko, A., Hämeri, K. and Koponen, I.K. (2007). A simple procedure for correcting loading effects of aethalometer data. J. Air Waste Manage. Assoc. 57: 1214–1222. [Publisher Site]

  46. Vodonos, A., Awad, Y.A. and Schwartz, J. (2018). The concentration-response between long-term PM2.5 exposure and mortality; A meta-regression approach. Environ. Res. 166: 677–689. [Publisher Site]

  47. Wang, Y., Hopke, P.K., Rattigan, O.V., Xia, X., Chalupa, D.C. and Utell, M.J. (2011). Characterization of residential wood combustion particles using the two-wavelength aethalometer. Environ. Sci. Technol. 45: 7387–7393. [Publisher Site]

  48. Wang, Y., Hopke, P.K., Rattigan, O.V., Chalupa, D.C. and Utell, M.J. (2012). Multiple-year black carbon measurements and source apportionment using Delta-C in Rochester, New York. J. Air. Waste Manage. Assoc. 62: 880–887. [Publisher Site]

  49. Wang, Z., Calderón, L., Patton, A.P., Sorensen Allacci, M., Senick, J., Wener, R., Andrews, C.J. and Mainelis, G. (2016). Comparison of real-time instruments and gravimetric method when measuring particulate matter in a residential building. J. Air. Waste Manage. Assoc. 66: 1109–1120. [Publisher Site]

  50. Weichenthal, S., Kulka, R., Lavigne, E., Van Rijswijk, D., Brauer, M., Villeneuve, P.J., Stieb, D., Joseph, and Burnett, R.T. (2017). Biomass burning as a source of ambient fine particulate air pollution and acute myocardial infarction. Epidemiology. 28: 329–337. [Publisher Site]

  51. Weimer, S., Mohr, C., Richter, R., Keller, J., Mohr, M., Prevot, A.S.H. and Baltensperger, U. (2009). Mobile measurements of aerosol number and volume size distributions in an Alpine valley: Influence of traffic versus wood burning. Atmos. Environ. 43: 624–630. [Publisher Site]

  52. Wilson, N.K., Barbour, R.K., Chuang, J.C. and Mukund, R. (1995). Evaluation of a real-time monitor for fine particle-bound PAH in air. Polycyclic Aromat. Compd. 5: 167–174. [Publisher Site]

  53. Yan, C., Zheng, M., Sullivan, A.P., Shen, G., Chen, Y., Wang, S., Zhao, B., Cai, S., Desyaterik, Y., Li, X., Zhou, T., Gustafsson, Ö. and Collett, Jr., J.C. (2018). Residential coal combustion as a source of levoglucosan in China. Environ. Sci. Technol. 52: 1665–1674. [Publisher Site]

  54. Yli-Tuomi, T., Siponen, T., Taimisto, R.P., Aurela, M., Teinilä, K., Hillamo, R., Pekkanen, J., Salonen, R.O. and Lanki, T. (2015). Impact of wood combustion for secondary heating and recreational purposes on particulate air pollution in a suburb in Finland. Environ. Sci. Technol. 49: 4089–4096. [Publisher Site]

  55. Yu, K.N., Cheung, Y.P., Cheung, T. and Henry, R.C. (2004). Identifying the impact of large urban airports on local air quality by nonparametric regression. Atmos. Environ. 38: 4501–4507. [Publisher Site]

  56. Zelikoff, J.T., Chen, L.C., Cohen, M.D. and Schlesinger, R.B. (2002). The toxicology of inhaled woodsmoke. J. Toxicol. Environ. Health Part B 5: 269–282. [Publisher Site]

  57. Zhang, J., Marto, J.P. and Schwab, J.J. (2018). Exploring the applicability and limitations of selected optical scattering instruments for PM mass measurement. Atmos. Meas. Tech. 11: 2995–3005. [Publisher Site]

  58. Zhang, K.M., Allen, G., Yang, B., Chen, G., Gu, J., Schwab, J., Felton, D. and Rattigan, O. (2017). Joint measurements of PM2.5 and light-absorptive PM in woodsmoke-dominated ambient and plume environments. Atmos. Chem. Phys. 17: 11441–11452. [Publisher Site]

Aerosol Air Qual. Res. 20 :2419 -2432 . https://doi.org/10.4209/aaqr.2020.01.0005  


Don't forget to share this article 

 

Subscribe to our Newsletter 

Aerosol and Air Quality Research has published over 2,000 peer-reviewed articles. Enter your email address to receive latest updates and research articles to your inbox every second week.

Latest coronavirus research from Aerosol and Air Quality Research

2018 Impact Factor: 2.735

5-Year Impact Factor: 2.827


SCImago Journal & Country Rank

Aerosol and Air Quality Research (AAQR) is an independently-run non-profit journal, promotes submissions of high-quality research, and strives to be one of the leading aerosol and air quality open-access journals in the world.