Articles | Volume 22, issue 23
https://doi.org/10.5194/acp-22-15403-2022
© 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-22-15403-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Dec 2022
Research article |
| 05 Dec 2022
| 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
Department of Earth and Planetary Science, University of California
Berkeley, Berkeley, CA 94720, United States
Department of Earth and Planetary Science, University of California
Berkeley, Berkeley, CA 94720, United States
Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, United States
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Erin R. Delaria, Bryan K. Place, Amy X. Liu, 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.
Ban-Weiss, G. A., McLaughlin, J. P., Harley, R. A., Lunden, M. M., Kirchstetter,
T. W., Kean, A. J., Strawa, A. W., Stevenson, E. D., and Kendall, G. R.:
Long-term changes in emissions of nitrogen oxides and particulate matter
from on-road gasoline and diesel vehicles, Atmos. Environ., 42, 220–232, https://doi.org/10.1016/j.atmosenv.2007.09.049, 2008.
Ban-Weiss, G. A., Lunden, M. M., Kirchstetter, T. W., and Harley, R. A.:
Size-resolved particle number and volume emission factors for on-road
gasoline and diesel motor vehicles, J. Aerosol Sci., 41, 5–12, https://doi.org/10.1016/j.jaerosci.2009.08.001, 2010.
Bishop, G. A., Hottor-Raguindin, R., Stedman, D. H., McClintock, P., Theobald,
E., Johnson, J. D., Lee, D. W., Zietsman, J., and Misra, C.: On-road heavy-duty
vehicle emissions monitoring system, Environ. Sci. Technol., 49, 1639–1645, https://doi.org/10.1021/es505534e, 2015.
Bishop, G. A.: Three decades of on-road mobile source emissions reductions in
South Los Angeles, J. Air Waste Manag. Assoc., 69, 967–976, https://doi.org/10.1080/10962247.2019.1611677, 2019.
California Code of Regulations: Regulation to Reduce
Emissions of Diesel Particulate Matter, Oxides of Nitrogen and Other
Criteria Pollutants from In-Use Heavy-Duty Diesel-Fueled Vehicles, https://www.federalregister.gov/documents/, last
access: 22 November
2022.
California Department of Transportation: Performance Measurement System, California
Department of Transportation [data set], https://pems.dot.ca.gov, last access: 16 October
2021.
CARB: California Air Resources Board, Community Air Protection Blueprint, https://ww2.arb.ca.gov/sites/default/files/ (last access: 22 November 2022), 2018a.
CARB: California Air Resources Board, Truck and Bus Regulation – Low
Mileage Construction Truck Phase-in Option, 2018b.
Choi, W., He, M., Barbesant, V., Kozawa, K. H., Mara, S., Winer, A. M., and
Paulson, S. E.: Prevalence of wide area impacts downwind of freeways under
pre-sunrise stable atmospheric conditions, Atmos. Environ., 62, 318–327, 2012.
Choi, W., Winer, A. M., and Paulson, S. E.: Factors controlling pollutant plume length downwind of major roadways in nocturnal surface inversions, Atmos. Chem. Phys., 14, 6925–6940, https://doi.org/10.5194/acp-14-6925-2014, 2014.
Dallmann, T. R., DeMartini, S. J., Kirchstetter, T. W., Herndon, S. C., Onasch,
T. B., Wood, E. C., and Harley, R. A.: On-road measurement of gas and particle
phase pollutant emission factors for individual heavy-duty diesel trucks,
Environ. Sci. Technol., 46, 8511–8518, https://doi.org/10.1021/es301936c, 2012.
Dallmann, T. R., Kirchstetter, T. W., DeMartini, S. J., and Harley, R. A.:
Quantifying on-road emissions from gasoline-powered motor vehicles:
Accounting for the presence of medium-and heavy-duty diesel trucks,
Environ. Sci. Technol., 47, 13873–13881, https://doi.org/10.1021/es402875u,
2013.
Dallmann, T. R., Onasch, T. B., Kirchstetter, T. W., Worton, D. R., Fortner, E. C., Herndon, S. C., Wood, E. C., Franklin, J. P., Worsnop, D. R., Goldstein, A. H., and Harley, R. A.: Characterization of particulate matter emissions from on-road gasoline and diesel vehicles using a soot particle aerosol mass spectrometer, Atmos. Chem. Phys., 14, 7585–7599, https://doi.org/10.5194/acp-14-7585-2014, 2014.
Di, Q., Wang, Y., Zanobetti, A., Wang, Y., Koutrakis, P., Choirat, C.,
Dominici, F., and Schwartz, J. D.: Air pollution and mortality in the Medicare
population, New Engl. J. Med., 376, 2513–2522, https://https://doi.org/10.1056/NEJMoa1702747, 2017.
EPA (Environmental Protection Agency): Brake and Tire Wear Emissions from Onroad
Vehicles in MOVES3,
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P1010M43.pdf
(last accessed 24 July 2022), 2020.
EPA (Environmental Protection Agency): Air Quality System API, EPA [data set],
https://aqs.epa.gov/aqsweb/documents/data_api.html, last accessed: 19 November 2021.
Fanai, A. K., Claire, S. J., Dinh, T. M., Nguyen, M. H., and Scultz, S. A.: Bay Area Emissions Inventory Report: Criteria Air Pollutants: Base Year 2011, Bay Area Air Quality Management District, https://www.baaqmd.gov/~/media/Files/Planning and Research/Emission Inventory/BY2011_CAPSummary.ashx?la=en&la=en (last access: 22 November 2022), 2014.
Fitzmaurice, H. L., Turner, A. J., Kim, J., Chan, K., Delaria, E. R., Newman, C., Wooldridge, P., and Cohen, R. C.: Assessing vehicle fuel efficiency using a dense network of CO2 observations, Atmos. Chem. Phys., 22, 3891–3900, https://doi.org/10.5194/acp-22-3891-2022, 2022.
Fussell, J. C., Franklin, M., Green, D. C., Gustafsson, M., Harrison, R. M.,
Hicks, W., Kelly, F. J., Kishta, F., Miller, M. R., Mudway, I. S., and
Oroumiyeh, F.: A Review of Road Traffic-Derived Non-Exhaust Particles:
Emissions, Physicochemical Characteristics, Health Risks, and Mitigation
Measures, Environ. Sci. Technol., 56, 6813–6835, https://doi.org/10.1021/acs.est.2c01072, 2022.
Geller, M. D., Sardar, S. B., Phuleria, H., Fine, P. M., and Sioutas, C.:
Measurements of particle number and mass concentrations and size
distributions in a tunnel environment, Environ. Sci. Technol., 39, 8653–8663, https://doi.org/10.1021/es050360s, 2005.
Haugen, M. J. and Bishop, G. A.: Repeat fuel specific emission measurements on
two California heavy-duty truck fleets, Environ. Sci. Technol., 51, 4100–4107, https://doi.org/10.1021/acs.est.6b06172, 2017.
Haugen, M. J. and Bishop, G. A.: Long-Term Fuel-Specific NOx and Particle
Emission Trends for In-Use Heavy-Duty Vehicles in California, Environ. Sci. Technol., 52,
6070–6076, https://doi.org/10.1021/acs.est.8b00621, 2018.
Kim, J., Shusterman, A. A., Lieschke, K. J., Newman, C., and Cohen, R. C.: The BErkeley Atmospheric CO2 Observation Network: field calibration and evaluation of low-cost air quality sensors, Atmos. Meas. Tech., 11, 1937–1946, https://doi.org/10.5194/amt-11-1937-2018, 2018.
Kirchstetter, T. W., Harley, R. A., Kreisberg, N. M., Stolzenburg, M. R., and
Hering, S. V.: On-road measurement of fine particle and nitrogen oxide
emissions from light-and heavy-duty motor vehicles, Atmos. Environ., 33, 2955–2968,
https://doi.org/10.1016/S1352-2310(99)00089-8, 1999.
Li, X., Dallmann, T. R., May, A. A., Stanier, C. O., Grieshop, A. P., Lipsky,
E. M., Robinson, A. L., and Presto, A. A.: Size distribution of vehicle emitted
primary particles measured in a traffic tunnel, Atmos. Environ., 191, 9–18, https://doi.org/10.1016/j.atmosenv.2018.07.052, 2018.
Muñoz Sabater, J.: ERA5-Land hourly data from 1981 to present, Copernicus
Climate Change Service (C3S) Climate Data Store (CDS) [data set],
https://doi.org/10.24381/cds.e2161bac, 2019.
Moua, F.: California Annual Fuel Outlet Report Results (CEC-A15),
Energy Assessments Division, California Energy Comission,
https://www.energy.ca.gov/media/3874 (last
access: 28 November 2022), 2022.
Park, S. S., Kozawa, K., Fruin, S., Mara, S., Hsu, Y. K., Jakober, C., Winer, A., and Herner, J.: Emission factors for high-emitting vehicles based on on-road measurements of individual vehicle exhaust with a mobile measurement platform, J. Air Waste Manag. Assoc., 61, 1046–1056, https://doi.org/10.1080/10473289.2011.595981, 2011.
Park, S. S., Vijayan, A., Mara, S. L., and Herner, J. D.: Investigating the
real-world emission characteristics of light-duty gasoline vehicles and
their relationship to local socioeconomic conditions in three communities in
Los Angeles, California, J. Air Waste Manag. Assoc., 66, 1031–1044, https://doi.org/10.1080/10962247.2016.1197166, 2016.
Preble, C. V., Cados, T. E., Harley, R. A., and Kirchstetter, T. W.: In-use performance and durability of particle filters on heavy-duty diesel trucks, Environ. Sci. Technol., 52, 11913–11921, https://doi.org/10.1021/acs.est.8b02977, 2018.
Shah, R. U., Robinson, E. S., Gu, P., Robinson, A. L., Apte, J. S., and Presto, A. A.: High-spatial-resolution mapping and source apportionment of aerosol composition in Oakland, California, using mobile aerosol mass spectrometry, Atmos. Chem. Phys., 18, 16325–16344, https://doi.org/10.5194/acp-18-16325-2018, 2018.
Shusterman, A. A., Teige, V. E., Turner, A. J., Newman, C., Kim, J., and Cohen, R. C.: The BErkeley Atmospheric CO2 Observation Network: initial evaluation, Atmos. Chem. Phys., 16, 13449–13463, https://doi.org/10.5194/acp-16-13449-2016, 2016.
Tessum, C. W., Apte, J. S., Goodkind, A. L., Muller, N. Z., Mullins, K. A.,
Paolella, D. A., Polasky, S., Springer, N. P., Thakrar, S. K., Marshall, J. D.,
and Hill, J. D.: Inequity in consumption of goods and services adds to
racial–ethnic disparities in air pollution exposure, P. Natl. Acad. Sci. USA, 116, 6001–6006,
https://doi.org/10.1073/pnas.1818859116, 2019.
Zimmerman, N., Presto, A. A., Kumar, S. P. N., Gu, J., Hauryliuk, A., Robinson, E. S., Robinson, A. L., and R. Subramanian: A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring, Atmos. Meas. Tech., 11, 291–313, https://doi.org/10.5194/amt-11-291-2018, 2018.
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.
We develop a novel method for finding heavy-duty vehicle (HDV) emission factors (g PM kg fuel)...
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