Articles | Volume 17, issue 24
https://doi.org/10.5194/acp-17-15293-2017
https://doi.org/10.5194/acp-17-15293-2017
Research article
 | 
22 Dec 2017
Research article |  | 22 Dec 2017

Emission factors of black carbon and co-pollutants from diesel vehicles in Mexico City

Miguel Zavala, Luisa T. Molina, Tara I. Yacovitch, Edward C. Fortner, Joseph R. Roscioli, Cody Floerchinger, Scott C. Herndon, Charles E. Kolb, Walter B. Knighton, Victor Hugo Paramo, Sergio Zirath, José Antonio Mejía, and Aron Jazcilevich

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Cited articles

Anenberg, S. C., Miller, J., Minjares, R., Du, L., Henze, D. K., Lacey, F., Malley, C., Emberson, L., Franco, V., Klimont, Z., and Heyes, C.: Impacts and mitigation of excess diesel-related NOx emissions in 11 major vehicle markets, Nature, 545, 467–471, https://doi.org/10.1038/nature22086, 2017.
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.: Measurement of black carbon and particle number emission factors from individual heavy-duty trucks, Environ. Sci. Technol., 43, 1419–1424, https://doi.org/10.1021/es8021039, 2009.
Bishop, G. A., Holubowitch, N. E., and Stedman, D. H.: Remote Measurements of On-Road Emissions from Heavy-Duty Diesel Vehicles in California; Year 1, annual report prepared under National Renewable Energy Laboratory Subcontract, AEV-8-88609-0, available at: http://www.feat.biochem.du.edu/assets/databases/Cal/CA_HDDV_final_report_2008_NREL_version.pdf (last access: 12 May 2017), 2008.
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Emission factors of black carbon and other chemically speciated particulate matter and gaseous pollutants were measured in real-world driving conditions for 20 diesel vehicles with multiple emission technologies in Mexico City using a mobile laboratory and a remote sensing technique. The results demonstrated the need to use locally obtained emissions data for diesel vehicles, especially in the developing world, to reduce uncertainty and improve the effectiveness of mitigation measures.
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