A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles
<p>Heavy-duty vehicles (HDVs) contribute a significant, but decreasing, fraction of primary aerosol emissions in urban areas. Previous studies have shown spatial heterogeneity in compliance with regulations. Consequently, location-specific emission factors are necessary to describe primary par...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-12-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://acp.copernicus.org/articles/22/15403/2022/acp-22-15403-2022.pdf |
| _version_ | 1811309526775758848 |
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| author | H. L. Fitzmaurice R. C. Cohen R. C. Cohen |
| author_facet | H. L. Fitzmaurice R. C. Cohen R. C. Cohen |
| author_sort | H. L. Fitzmaurice |
| collection | DOAJ |
| description | <p>Heavy-duty vehicles (HDVs) contribute a significant, but
decreasing, fraction of primary aerosol emissions in urban areas. Previous studies have shown spatial heterogeneity in compliance with regulations. Consequently, location-specific emission factors are necessary to describe
primary particulate matter (PM) emissions by HDVs. Using near-road observations from the Bay Area Air Quality Management District (BAAQMD)
network over the 2009–2020 period in combination with Caltrans measurements of vehicle number and type, we determine primary PM<span class="inline-formula"><sub>2.5</sub></span> emission factors from HDVs on highways in the San Francisco Bay area. We demonstrate that HDV primary aerosol emission factors derived using this method are in line with observations by other studies, that they decreased a by a factor of <span class="inline-formula">∼</span> 9 in the past decade, and that emissions at some sites remain higher than would be expected if all HDVs were in compliance with California HDV regulations.</p> |
| first_indexed | 2024-04-13T09:43:24Z |
| format | Article |
| id | doaj.art-ff995b6b86ae4dfeaec3702824247d76 |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-04-13T09:43:24Z |
| publishDate | 2022-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-ff995b6b86ae4dfeaec3702824247d762022-12-22T02:51:50ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242022-12-0122154031541110.5194/acp-22-15403-2022A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehiclesH. L. Fitzmaurice0R. C. Cohen1R. C. Cohen2Department of Earth and Planetary Science, University of California Berkeley, Berkeley, CA 94720, United StatesDepartment of Earth and Planetary Science, University of California Berkeley, Berkeley, CA 94720, United StatesDepartment of Chemistry, University of California Berkeley, Berkeley, CA 94720, United States<p>Heavy-duty vehicles (HDVs) contribute a significant, but decreasing, fraction of primary aerosol emissions in urban areas. Previous studies have shown spatial heterogeneity in compliance with regulations. Consequently, location-specific emission factors are necessary to describe primary particulate matter (PM) emissions by HDVs. Using near-road observations from the Bay Area Air Quality Management District (BAAQMD) network over the 2009–2020 period in combination with Caltrans measurements of vehicle number and type, we determine primary PM<span class="inline-formula"><sub>2.5</sub></span> emission factors from HDVs on highways in the San Francisco Bay area. We demonstrate that HDV primary aerosol emission factors derived using this method are in line with observations by other studies, that they decreased a by a factor of <span class="inline-formula">∼</span> 9 in the past decade, and that emissions at some sites remain higher than would be expected if all HDVs were in compliance with California HDV regulations.</p>https://acp.copernicus.org/articles/22/15403/2022/acp-22-15403-2022.pdf |
| spellingShingle | H. L. Fitzmaurice R. C. Cohen R. C. Cohen A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles Atmospheric Chemistry and Physics |
| title | A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles |
| title_full | A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles |
| title_fullStr | A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles |
| title_full_unstemmed | A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles |
| title_short | A method for using stationary networks to observe long-term trends of on-road emission factors of primary aerosol from heavy-duty vehicles |
| title_sort | method for using stationary networks to observe long term trends of on road emission factors of primary aerosol from heavy duty vehicles |
| url | https://acp.copernicus.org/articles/22/15403/2022/acp-22-15403-2022.pdf |
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