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Volume 7, issue 2
Atmos. Chem. Phys., 7, 329-353, 2007
https://doi.org/10.5194/acp-7-329-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

Special issue: Mexico City Metropolitan Area Field Campaign 2003...

Atmos. Chem. Phys., 7, 329-353, 2007
https://doi.org/10.5194/acp-7-329-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  23 Jan 2007

23 Jan 2007

Distribution, magnitudes, reactivities, ratios and diurnal patterns of volatile organic compounds in the Valley of Mexico during the MCMA 2002 & 2003 field campaigns

E. Velasco1,*, B. Lamb1, H. Westberg1, E. Allwine1, G. Sosa2, J. L. Arriaga-Colina2, B. T. Jobson3,**, M. L. Alexander3, P. Prazeller3, W. B. Knighton4, T. M. Rogers4, M. Grutter5, S. C. Herndon6, C. E. Kolb6, M. Zavala7, B. de Foy7,*, R. Volkamer8, L. T. Molina7,*, and M. J. Molina8 E. Velasco et al.
  • 1Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman WA, USA
  • 2Laboratorio de Química de la Atmósfera, Instituto Mexicano del Petróleo, México D.F., México
  • 3Atmospheric Sciences. Battelle Pacific Northwest National Laboratory, Richland WA, USA
  • 4Department of Chemistry and Biochemistry, Montana State University, Bozeman MO, USA
  • 5Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México, México D.F., México
  • 6Center for Atmospheric and Environmental Chemistry, Aerodyne Research Inc., Billerica, MA, USA
  • 7Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge MA, USA
  • 8Department of Chemistry and Biochemistry, University of California, San Diego, USA
  • *now at: Molina Center for Energy and the Environment (mce2.org), La Jolla CA, USA
  • **now at: Washington State University, Pullman WA, USA

Abstract. A wide array of volatile organic compound (VOC) measurements was conducted in the Valley of Mexico during the MCMA-2002 and 2003 field campaigns. Study sites included locations in the urban core, in a heavily industrial area and at boundary sites in rural landscapes. In addition, a novel mobile-laboratory-based conditional sampling method was used to collect samples dominated by fresh on-road vehicle exhaust to identify those VOCs whose ambient concentrations were primarily due to vehicle emissions. Four distinct analytical techniques were used: whole air canister samples with Gas Chromatography/Flame Ionization Detection (GC-FID), on-line chemical ionization using a Proton Transfer Reaction Mass Spectrometer (PTR-MS), continuous real-time detection of olefins using a Fast Olefin Sensor (FOS), and long path measurements using UV Differential Optical Absorption Spectrometers (DOAS). The simultaneous use of these techniques provided a wide range of individual VOC measurements with different spatial and temporal scales. The VOC data were analyzed to understand concentration and spatial distributions, diurnal patterns, origin and reactivity in the atmosphere of Mexico City. The VOC burden (in ppbC) was dominated by alkanes (60%), followed by aromatics (15%) and olefins (5%). The remaining 20% was a mix of alkynes, halogenated hydrocarbons, oxygenated species (esters, ethers, etc.) and other unidentified VOCs. However, in terms of ozone production, olefins were the most relevant hydrocarbons. Elevated levels of toxic hydrocarbons, such as 1,3-butadiene, benzene, toluene and xylenes, were also observed. Results from these various analytical techniques showed that vehicle exhaust is the main source of VOCs in Mexico City and that diurnal patterns depend on vehicular traffic in addition to meteorological processes. Finally, examination of the VOC data in terms of lumped modeling VOC classes and its comparison to the VOC lumped emissions reported in other photochemical air quality modeling studies suggests that some alkanes are underestimated in the emissions inventory, while some olefins and aromatics are overestimated.

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