The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Source apportionment of PM2.5 at multiple Northwest U.S. sites: Assessing regional winter wood smoke impacts from residential wood combustion
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“They also showed that smaller, more residential cities with little other industry producing PM2.5 had increasing fractions of their PM2.5 problem arising from wood smoke.”
From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Kotchenruther (2016)
In the citing paper
“During wintertime, this SOA fraction was relatively small (~20% of OA), but in summertime, most wild fi re OA was identi fi ed as SOA.”
From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Kotchenruther (2016)
In the citing paper
“They found that wood smoke makes up 50% of the considered particulate mass.”
From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Kotchenruther (2016)
In the citing paper
“The PMF analysis showed two wood smoke pro fi les, whereby one was identi fi ed with aged wood smoke or SOA, and the other with primary wood smoke.”
From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Kotchenruther (2016)
Citations
Cites
Health Effects of Fine Particulate Air Pollution: Lines that Connect
Pope, C. A., & Dockery, D. W. (2006) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.2006.10464485 · Cited by 6,912
Woodsmoke Health Effects: A Review
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
Pant, P., & Harrison, R. M. (2013) · Atmospheric Environment · doi:10.1016/j.atmosenv.2013.04.028 · Cited by 1,181
Ambient Air Pollution and Atherosclerosis in Los Angeles
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
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
Discarding or downweighting high-noise variables in factor analytic models
Paatero, P., & Hopke, P. K. (2003) · Analytica Chimica Acta · doi:10.1016/s0003-2670(02)01643-4 · Cited by 694
Methods for estimating uncertainty in factor analytic solutions
Paatero, P., Eberly, S., Brown, S. G., & Norris, G. A. (2014) · Atmospheric Measurement Techniques · doi:10.5194/amt-7-781-2014 · Cited by 571
Stable Atmospheric Boundary Layers and Diurnal Cycles: Challenges for Weather and Climate Models
Holtslag, A. A. M., Svensson, G., Baas, P., Basu, S., Beare, B., Beljaars, A. C. M., Bosveld, F. C., Cuxart, J., Lindvall, J., Steeneveld, G. J., et al. (2013) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00187.1 · Cited by 502
U.S. National PM2.5Chemical Speciation Monitoring Networks—CSN and IMPROVE: Description of networks
Solomon, P. A., Crumpler, D., Flanagan, J. B., Jayanty, R. K. M., Rickman, E. E., & McDade, C. E. (2014) · Journal of the Air & Waste Management Association · doi:10.1080/10962247.2014.956904 · Cited by 285
Han, Y., Cao, J., Lee, S., Ho, K., & An, Z. (2010) · Atmospheric chemistry and physics · doi:10.5194/acp-10-595-2010 · Cited by 265
Cited by
Local Arctic Air Pollution: A Neglected but Serious Problem
Schmale, J., Arnold, S. R., Law, K. S., Thorp, T., Anenberg, S., Simpson, W. R., Mao, J., & Pratt, K. A. (2018) · Earth's Future · doi:10.1029/2018ef000952 · Cited by 221
“Kotchenruther (2016) recently used PMF modeling for source apportionment of wood smoke at multiple cities in the U.S. Pacific Northwest, including Fairbanks.”
MethodTaghvaee, S., Sowlat, M. H., Mousavi, A. J., Hassanvand, M. S., Yunesian, M., Naddafi, K., & Sioutas, C. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.02.096 · Cited by 199
PMF and PSCF based source apportionment of PM2.5 at a regional background site in North China
Zong, Z., Wang, X., Tian, C., Chen, Y.-J., Fu, S., Qu, L., Ji, L., Li, J., & Zhang, G. (2018) · doi:10.1016/j.atmosres.2017.12.013 · Cited by 137
High-time-resolution source apportionment of PM 2.5 in Beijing with multiple models
Liu, Y., Zheng, M., Yu, M., Cai, X., Du, H., Li, J., Zhou, T., Yan, C., Wang, X., Shi, Z., et al. (2019) · Atmospheric chemistry and physics · doi:10.5194/acp-19-6595-2019 · Cited by 120
Kaulfus, A. S., Nair, U. S., Jaffe, D. A., Christopher, S. A., & Goodrick, S. L. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b03292 · Cited by 106
Metadata
- 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)
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Source apportionment of PM2.5 at multiple Northwest U.S. sites: Assessing regional winter wood smoke impacts from residential wood combustion. https://app.cochat.ai/papers/10.1016/j.atmosenv.2016.07.048
- The paper
- Kotchenruther, R. A. (2016). Source apportionment of PM2.5 at multiple Northwest U.S. sites: Assessing regional winter wood smoke impacts from residential wood combustion. Atmospheric Environment. https://doi.org/10.1016/j.atmosenv.2016.07.048
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
