Articles | Volume 22, issue 23
https://doi.org/10.5194/acp-22-15403-2022
https://doi.org/10.5194/acp-22-15403-2022
Research article
 | 
05 Dec 2022
Research article |  | 05 Dec 2022

A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles

Helen L. Fitzmaurice and Ronald C. Cohen

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Cited articles

BAAQMD: West Oakland Environmental Indicators Project, 2019, Owning Our Air: the West Oakland Community Action Plan – Vol. 1: the Plan, https://www.baaqmd.gov/~/media/files/ab617 (last access: 28 November 2022), 2021. 
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Short summary
We develop a novel method for finding heavy-duty vehicle (HDV) emission factors (g PM kg fuel) using regulatory sensor networks and publicly available traffic data. We find that particulate matter emission factors have decreased by a factor of ~ 9 in the past decade in the San Francisco Bay area. Because of the wide availability of similar data sets across the USA and globally, this method could be applied to other settings to understand long-term trends and regional differences in HDV emissions.
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