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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In summer 2019 at Mt. Bachelor Observatory, we observed smoke from wildfires with transport times ranging from less than a day up to 2 weeks. Aerosol absorption of multi-day transported smoke was dominated by black carbon, while smoke with shorter transport times had greater brown carbon absorption. Notably, Siberian smoke exhibited aerosol scattering and physical properties indicative of contributions from larger particles than typically observed in smoke.
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2021.
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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Final-revised paper
Preprint