Cited by 9Atmospheric chemistry and aerosolsAir Quality and Health ImpactsEnergy and Environment Impacts

Wood-Burning Device Changeout: Modeling the Impact on PM2.5Concentrations in a Remote Subarctic Urban Nonattainment Area

Open access
Tran, Huy N. Q., Mölders, Nicole·2012·Advances in Meteorology

Abstract

The effects of exchanging noncertified with certified wood-burning devices on the 24h-average PM 2.5 concentrations in the nonattainment area of Fairbanks, Alaska, in a cold season (October to March) were investigated using the Weather Research and Forecasting model inline coupled with a chemistry package. Even changing out only 2930 uncertified woodstoves and 90 outdoor wood boilers reduced the 24 h-average PM 2.5 concentrations on average by 0.6 μ g.m−3(6%) and avoided seven out of 55 simulated exceedance days during this half-a-year. The highest reductions on any exceedance day ranged between 1.7 and 2.8 μ g.m−3. The relative response factors obtained were consistently relatively low (~0.95) for all PM 2.5 species and all months. Sensitivity studies suggest that the assessment of the benefits of a wood-burning device changeout program in avoiding exceedances heavily relies on the accuracy of the estimates on how many wood-burning devices exist that can be exchanged.

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Crossref · 10.1155/2012/853405

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  • In cities where woodstoves are a common form of domestic heating, changing heating sources to cleaner burning stoves or alternative fuels can assist in reducing pollution.

    “In cities where woodstoves are a common form of domestic heating, changing heating sources to cleaner burning stoves or alternative fuels (e.g., natural gas) can assist in reducing pollution (Tran & Mölders, 2012).”

    From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Tran & Mölders, 2012

    The Introduction (page not specified) says wood-burning devices are major contributors to residential PM2.5 emissions in Fairbanks, and the Abstract (page not specified) reports that replacing uncertified devices with certified ones reduced modeled PM2.5 concentrations. The cited paper does not establish the claim's alternative-fuel example, natural gas. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Replacing woodstoves with newer, lower-emitting stoves yields a small air quality benefit.

    “Tran and Mölders (2012) modeled the effect of replacing woodstoves with newer, lower emitting stoves and found a small air quality bene fi t.”

    From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Tran and Mölders (2012)

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Research works printed but not linked: 2

  1. S. E. Peckham, J. D. Fast, R. Schmitz et al., "WRF/Chem version 3.1 user's guide," pp. 78, 2009.
  2. Z. I. Janjic, "The step-mountain eta coordinate model: further developments of the convection, viscous sublayer, and turbulence closure schemes," Monthly Weather Review, vol. 122, no. 5, pp. 927-945, 1994.

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Authors
Tran, H. N. Q., & Mölders, N.
Affiliations
University of Alaska Fairbanks (US)
Corresponding author
Mölders, Nicole
Venue
Advances in Meteorology
Published
2012
Volume
2012
Pages
1-12
ISSN
  • 1687-9309 (ISSN-L)
  • 1687-9317
OpenAlex
W2056245834
Cited by
9
References
24
Citations by year
2025: 1 · 2024: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2014: 1 · 2013: 1 · 2012: 1
FWCI
0.66
Type
journal article
Language
en
Open access
Locations
  • Advances in Meteorology (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Fairbanks North Star Borough
  • Arctic Region Supercomputing Center
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Pollution › Energy and Environment Impacts
Keywords
PM2.5 concentration, wood stoves, nonattainment areas, air quality exceedances, Fairbanks, Alaska, response factors, sensitivity analysis

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