Articles | Volume 22, issue 18
https://doi.org/10.5194/acp-22-12695-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-12695-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: Use of PM2.5 to CO ratio as an indicator of wildfire smoke in urban areas
School of STEM, University of Washington, Bothell, WA 98011, USA
Department of Atmospheric Sciences, University of Washington, Seattle,
WA 98195, USA
Brendan Schnieder
Washoe County Health District, Air Quality Management Division, Reno,
NV 89512, USA
Daniel Inouye
Washoe County Health District, Air Quality Management Division, Reno,
NV 89512, USA
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Total article views: 4,285 (including HTML, PDF, and XML)
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Total article views: 1,388 (including HTML, PDF, and XML)
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Cited
17 citations as recorded by crossref.
- Downdrafts of Biomass Burning to Houston Enhanced by Local Convective Activity R. Sheesley et al. https://doi.org/10.1021/acsestair.4c00232
- PM 2.5 anomaly detection for exceptional event demonstrations: A Texas case study A. Dayalu et al. https://doi.org/10.1080/10962247.2024.2401368
- Machine learning assesses drivers of PM2.5 air pollution trend in the Tibetan Plateau from 2015 to 2022 B. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.163189
- Wildfire-impact identification in the Western USA using numerical techniques S. Lu et al. https://doi.org/10.1016/j.jes.2026.03.032
- Characterizing emissions, chemistry, and health impacts of aged wildfire smoke in a western US city L. Jin et al. https://doi.org/10.5194/acp-26-11047-2026
- Utilizing an ecosystem model and satellite data to estimate daily PM2.5 emissions from recent wildland–urban interface fires in California C. Potter et al. https://doi.org/10.1071/WF25194
- Impacts of droughts on biomass burning emissions, air quality, and public health in the Amazon L. Ng et al. https://doi.org/10.5194/acp-26-11835-2026
- Simulation of Air Pollution Produced by Forest Fires Using the WRF-SFIRE-CHEM Model in Greece: Study Cases I. Sakellaris et al. https://doi.org/10.1007/s10694-025-01784-0
- Formation of Ozone and PM2.5 in Smoke from Prescribed Burning in the Southeastern United States R. El Asmar et al. https://doi.org/10.1021/acsestair.4c00231
- A multi-site passive approach to studying the emissions and evolution of smoke from prescribed fires R. El Asmar et al. https://doi.org/10.5194/acp-24-12749-2024
- Air Quality Impacts of the January 2025 Los Angeles Wildfires: Insights from Public Data Sources C. Schollaert et al. https://doi.org/10.1021/acs.estlett.5c00486
- Comparison of approaches to identify long-range transport of biomass burning in an urban atmosphere M. Ramirez et al. https://doi.org/10.1016/j.aeaoa.2026.100438
- Air Quality Benefits and Disbenefits of Forests under Future Environmental Stressors M. Lassiter et al. https://doi.org/10.1021/acsestair.5c00391
- A database of aircraft measurements of carbon monoxide (CO) with high temporal and spatial resolution during 2011–2021 C. Xue et al. https://doi.org/10.5194/essd-15-4553-2023
- A State of the Science Review of Wildfire-Specific Fine Particulate Matter Data Sources, Methods, and Models A. Orr et al. https://doi.org/10.1289/EHP15672
- AI for Wildfire Management: From Prediction to Detection, Simulation, and Impact Analysis—Bridging Lab Metrics and Real-World Validation N. Caron et al. https://doi.org/10.3390/ai6100253
- Particle size distributions of wildfire aerosols in the western USA S. Lu et al. https://doi.org/10.1039/D5EA00007F
17 citations as recorded by crossref.
- Downdrafts of Biomass Burning to Houston Enhanced by Local Convective Activity R. Sheesley et al. https://doi.org/10.1021/acsestair.4c00232
- PM 2.5 anomaly detection for exceptional event demonstrations: A Texas case study A. Dayalu et al. https://doi.org/10.1080/10962247.2024.2401368
- Machine learning assesses drivers of PM2.5 air pollution trend in the Tibetan Plateau from 2015 to 2022 B. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.163189
- Wildfire-impact identification in the Western USA using numerical techniques S. Lu et al. https://doi.org/10.1016/j.jes.2026.03.032
- Characterizing emissions, chemistry, and health impacts of aged wildfire smoke in a western US city L. Jin et al. https://doi.org/10.5194/acp-26-11047-2026
- Utilizing an ecosystem model and satellite data to estimate daily PM2.5 emissions from recent wildland–urban interface fires in California C. Potter et al. https://doi.org/10.1071/WF25194
- Impacts of droughts on biomass burning emissions, air quality, and public health in the Amazon L. Ng et al. https://doi.org/10.5194/acp-26-11835-2026
- Simulation of Air Pollution Produced by Forest Fires Using the WRF-SFIRE-CHEM Model in Greece: Study Cases I. Sakellaris et al. https://doi.org/10.1007/s10694-025-01784-0
- Formation of Ozone and PM2.5 in Smoke from Prescribed Burning in the Southeastern United States R. El Asmar et al. https://doi.org/10.1021/acsestair.4c00231
- A multi-site passive approach to studying the emissions and evolution of smoke from prescribed fires R. El Asmar et al. https://doi.org/10.5194/acp-24-12749-2024
- Air Quality Impacts of the January 2025 Los Angeles Wildfires: Insights from Public Data Sources C. Schollaert et al. https://doi.org/10.1021/acs.estlett.5c00486
- Comparison of approaches to identify long-range transport of biomass burning in an urban atmosphere M. Ramirez et al. https://doi.org/10.1016/j.aeaoa.2026.100438
- Air Quality Benefits and Disbenefits of Forests under Future Environmental Stressors M. Lassiter et al. https://doi.org/10.1021/acsestair.5c00391
- A database of aircraft measurements of carbon monoxide (CO) with high temporal and spatial resolution during 2011–2021 C. Xue et al. https://doi.org/10.5194/essd-15-4553-2023
- A State of the Science Review of Wildfire-Specific Fine Particulate Matter Data Sources, Methods, and Models A. Orr et al. https://doi.org/10.1289/EHP15672
- AI for Wildfire Management: From Prediction to Detection, Simulation, and Impact Analysis—Bridging Lab Metrics and Real-World Validation N. Caron et al. https://doi.org/10.3390/ai6100253
- Particle size distributions of wildfire aerosols in the western USA S. Lu et al. https://doi.org/10.1039/D5EA00007F
Saved (final revised paper)
Latest update: 21 Sep 2026
Short summary
In this paper we use commonly measured pollutants (PM2.5 and carbon monoxide) to develop a Monte Carlo simulation of the mixing of urban pollution with smoke. The simulations compare well with observations from a heavily impacted smoke site and show that we can use standard regulatory measurements to quantify the amount of smoke in urban areas.
In this paper we use commonly measured pollutants (PM2.5 and carbon monoxide) to develop a Monte...
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