Cited by 69Atmospheric chemistry and aerosolsToxic Organic Pollutants ImpactAtmospheric aerosols and clouds

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Source apportionment of PM2.5 at multiple Northwest U.S. sites: Assessing regional winter wood smoke impacts from residential wood combustion

Kotchenruther, Robert A.·2016·Atmospheric Environment

DOI 10.1016/j.atmosenv.2016.07.048

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Pope, C. A., & Dockery, D. W. (2006) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.2006.10464485 · Cited by 6,583
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Naeher, L. P., Brauer, M., Lipsett, M., Zelikoff, J. T., Simpson, C. D., Koenig, J. Q., & Smith, K. R. (2007) · Inhalation Toxicology · doi:10.1080/08958370600985875 · Cited by 1,530
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Pant, P., & Harrison, R. M. (2013) · Atmospheric Environment · doi:10.1016/j.atmosenv.2013.04.028 · Cited by 1,181
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Künzli, N., Jerrett, M., Mack, W. J., Beckerman, B., LaBree, L., Gilliland, F., Thomas, D., Peters, J., & Hodis, H. N. (2005) · Environmental Health Perspectives · doi:10.1289/ehp.7523 · Cited by 809
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Brown, S. G., Eberly, S., Paatero, P., & Norris, G. A. (2015) · Science of The Total Environment · doi:10.1016/j.scitotenv.2015.01.022 · Cited by 733
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Paatero, P., & Hopke, P. K. (2003) · Analytica Chimica Acta · doi:10.1016/s0003-2670(02)01643-4 · Cited by 650
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Paatero, P., Eberly, S., Brown, S. G., & Norris, G. A. (2014) · Atmospheric Measurement Techniques · doi:10.5194/amt-7-781-2014 · Cited by 571
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“Kotchenruther (2016) recently used PMF modeling for source apportionment of wood smoke at multiple cities in the U.S. Pacific Northwest, including Fairbanks.”
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Assessing the Oxidative Potential of Outdoor PM2.5 in Wintertime Fairbanks, Alaska
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“To investigate the regional transport of PM, source apportionment emerges as a powerful tool (e.g., Kotchenruther 2016; Liu et al.”
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“The average PMF factor chemical profiles in this work are similar to those found in Kotchenruther (2016).”
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“5) and nitrogen dioxide (NO2) are common urban air pollutants [4,5].”
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Biomass Burning is an Important Source of Organic Aerosols in Interior Alaska
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“Several modeling studies on the air pollution have been conducted (Kotchenruther, 2016; Leelasakultum et al., 2012; Mölders et al., 2012; Tran & Mölders, 2011, 2012).”
Background
Indoor–Outdoor Oxidative Potential of PM2.5 in Wintertime Fairbanks, Alaska: Impact of Air Infiltration and Indoor Activities
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“Wood-heating in homes is common across many regions of the US Pacific Northwest during the winter months and can account for the majority of smoke produced (and the PM 2.5 recorded) during that season [64].”
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Heinlein, L. M. D., He, J., Sunday, M. O., Guo, F., Campbell, J. R., Moon, A. R., Kapur, S., Fang, T., Edwards, K., Cesler‐Maloney, M., et al. (2025) · Atmospheric chemistry and physics · doi:10.5194/acp-25-9561-2025 · Cited by 8
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“…heating with residential wood burning can lead to increased levels of indoor pollutants that may cause adverse health impacts (Vicente et al. 2020; Oeder et al. 2012) and is reported to be the largest source of outdoor PM 2.5 in winter months in Fairbanks (Ward et al. 2012; Kotchenruther 2016).”
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“5 sources, with additional influence from wood smoke, diesel combustion, sea salt, crustal, and industrial emissions (Kim and Hopke 2008; Kotchenruther 2013, 2015, 2016; Maykut et al. 2003; Wu et al. 2007).”
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“For example, Kotchenruther (2016) using PMF estimated that primary (39.9”
Influential
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“5 (Campbell et al., 2022; Kotchenruther, 2016; Nattinger, 2016; Ward et al., 2012), VOCs in Fairbanks have received less attention.”
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“Similar winter PM 2.5 patterns from residential wood combustion have been documented at 19 monitoring sites across Washington and Oregon in the Pacific Northwest (Kotchenruther 2016), as well as in rural mountain valleys of the Northeast, including Upstate New York, where residential wood burning was shown to be a dom…”
Influential
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Examining public preferences for wood smoke mitigation policies in the sub-Arctic
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“More recent work analyzing data from 2009 to 2014 has identified 40 % of pollution from fresh woodsmoke and 12 % from aged smoke in downtown Fairbanks [33].”

Authors: Kotchenruther, R. A.
Affiliations: Environmental Protection Agency (US)
Corresponding author: Kotchenruther, Robert A.
Venue: Atmospheric Environment
Publisher: Elsevier BV
Published: 2016-10
Volume: 142
Pages: 210-219
ISSN: 1352-2310 (ISSN-L)
DOI: 10.1016/j.atmosenv.2016.07.048
OpenAlex: W2483945844
Cited by: 69
References: 0
Citations by year: 2026: 4 · 2025: 8 · 2024: 21 · 2023: 3 · 2022: 9 · 2021: 5 · 2020: 7 · 2019: 2 · 2018: 5 · 2017: 5
FWCI: 2.44
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Atmospheric Environment (publishedVersion)
Topics: Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
Keywords: PM2.5 source apportionment, residential wood combustion, wood smoke, positive matrix factorization, winter air pollution, regional air quality modeling, source profiles, secondary organic carbon, ammonium nitrate, fugitive dust, vehicle emissions, Northwest United States, chemical mass balance

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Source apportionment of PM2.5 at multiple Northwest U.S. sites: Assessing regional winter wood smoke impacts from residential wood combustion

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