Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes

Mobile sources produce a significant fraction of the total anthropogenic emissions burden in large cities and have harmful effects on air quality at multiple spatial scales. Mobile emissions are intrinsically difficult to estimate due to the large number of parameters affecting the emissions variabi...

Full description

Bibliographic Details
Main Authors: Zavala-Perez, Miguel Angel, Herndon, S. C., Wood, E. C., Jayne, John T., Nelson, David D., Trimborn, A. M., Dunlea, E., Knighton, W. Berk, Mendoza, A., Allen, David T., Kolb, Charles E., Molina, Mario J., Molina, Luisa Tan
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Language:en_US
Published: European Geosciences Union / Copernicus 2011
Online Access:http://hdl.handle.net/1721.1/65133
https://orcid.org/0000-0002-3596-5334
https://orcid.org/0000-0003-2339-3225
_version_ 1811089728161710080
author Zavala-Perez, Miguel Angel
Herndon, S. C.
Wood, E. C.
Jayne, John T.
Nelson, David D.
Trimborn, A. M.
Dunlea, E.
Knighton, W. Berk
Mendoza, A.
Allen, David T.
Kolb, Charles E.
Molina, Mario J.
Molina, Luisa Tan
author2 Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
author_facet Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Zavala-Perez, Miguel Angel
Herndon, S. C.
Wood, E. C.
Jayne, John T.
Nelson, David D.
Trimborn, A. M.
Dunlea, E.
Knighton, W. Berk
Mendoza, A.
Allen, David T.
Kolb, Charles E.
Molina, Mario J.
Molina, Luisa Tan
author_sort Zavala-Perez, Miguel Angel
collection MIT
description Mobile sources produce a significant fraction of the total anthropogenic emissions burden in large cities and have harmful effects on air quality at multiple spatial scales. Mobile emissions are intrinsically difficult to estimate due to the large number of parameters affecting the emissions variability within and across vehicles types. The MCMA-2003 Campaign in Mexico City has showed the utility of using a mobile laboratory to sample and characterize specific classes of motor vehicles to better quantify their emissions characteristics as a function of their driving cycles. The technique clearly identifies "high emitter" vehicles via individual exhaust plumes, and also provides fleet average emission rates. We have applied this technique to Mexicali during the Border Ozone Reduction and Air Quality Improvement Program (BORAQIP) for the Mexicali-Imperial Valley in 2005. We analyze the variability of measured emission ratios for emitted NOx [NO subscript x], CO, specific VOCs, NH3 [NH subscript 3], and some primary fine particle components and properties by deploying a mobile laboratory in roadside stationary sampling, chase and fleet average operational sampling modes. The measurements reflect various driving modes characteristic of the urban fleets. The observed variability for all measured gases and particle emission ratios is greater for the chase and roadside stationary sampling than for fleet average measurements. The fleet average sampling mode captured the effects of traffic conditions on the measured on-road emission ratios, allowing the use of fuel-based emission ratios to assess the validity of traditional "bottom-up" emissions inventories. Using the measured on-road emission ratios, we estimate CO and NOx [NO subscript x] mobile emissions of 175±62 and 10.4±1.3 metric tons/day, respectively, for the gasoline vehicle fleet in Mexicali. Comparisons with similar on-road emissions data from Mexico City indicated that fleet average NO emission ratios were around 20% higher in Mexicali than in Mexico City whereas HCHO and NH3 [NH subscript 3] emission ratios were higher by a factor of 2 in Mexico City than in Mexicali. Acetaldehyde emission ratios did not differ significantly whereas selected aromatics VOCs emissions were similar or smaller in Mexicali. Nitrogen oxides emissions for on-road heavy-duty diesel truck (HDDT) were measured near Austin, Texas, as well as in both Mexican cities, with NOy [NO subscript y] emission ratios in Austin < Mexico City < Mexicali.
first_indexed 2024-09-23T14:23:46Z
format Article
id mit-1721.1/65133
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T14:23:46Z
publishDate 2011
publisher European Geosciences Union / Copernicus
record_format dspace
spelling mit-1721.1/651332022-09-29T09:12:43Z Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes Zavala-Perez, Miguel Angel Herndon, S. C. Wood, E. C. Jayne, John T. Nelson, David D. Trimborn, A. M. Dunlea, E. Knighton, W. Berk Mendoza, A. Allen, David T. Kolb, Charles E. Molina, Mario J. Molina, Luisa Tan Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Molina, Luisa Tan Zavala-Perez, Miguel Angel Dunlea, E. Molina, Mario J. Molina, Luisa Tan Mobile sources produce a significant fraction of the total anthropogenic emissions burden in large cities and have harmful effects on air quality at multiple spatial scales. Mobile emissions are intrinsically difficult to estimate due to the large number of parameters affecting the emissions variability within and across vehicles types. The MCMA-2003 Campaign in Mexico City has showed the utility of using a mobile laboratory to sample and characterize specific classes of motor vehicles to better quantify their emissions characteristics as a function of their driving cycles. The technique clearly identifies "high emitter" vehicles via individual exhaust plumes, and also provides fleet average emission rates. We have applied this technique to Mexicali during the Border Ozone Reduction and Air Quality Improvement Program (BORAQIP) for the Mexicali-Imperial Valley in 2005. We analyze the variability of measured emission ratios for emitted NOx [NO subscript x], CO, specific VOCs, NH3 [NH subscript 3], and some primary fine particle components and properties by deploying a mobile laboratory in roadside stationary sampling, chase and fleet average operational sampling modes. The measurements reflect various driving modes characteristic of the urban fleets. The observed variability for all measured gases and particle emission ratios is greater for the chase and roadside stationary sampling than for fleet average measurements. The fleet average sampling mode captured the effects of traffic conditions on the measured on-road emission ratios, allowing the use of fuel-based emission ratios to assess the validity of traditional "bottom-up" emissions inventories. Using the measured on-road emission ratios, we estimate CO and NOx [NO subscript x] mobile emissions of 175±62 and 10.4±1.3 metric tons/day, respectively, for the gasoline vehicle fleet in Mexicali. Comparisons with similar on-road emissions data from Mexico City indicated that fleet average NO emission ratios were around 20% higher in Mexicali than in Mexico City whereas HCHO and NH3 [NH subscript 3] emission ratios were higher by a factor of 2 in Mexico City than in Mexicali. Acetaldehyde emission ratios did not differ significantly whereas selected aromatics VOCs emissions were similar or smaller in Mexicali. Nitrogen oxides emissions for on-road heavy-duty diesel truck (HDDT) were measured near Austin, Texas, as well as in both Mexican cities, with NOy [NO subscript y] emission ratios in Austin < Mexico City < Mexicali. Mexico. Comisión Ambiental Metropolitana National Science Foundation (U.S.) (Grant ATM-0528227) Molina Center for Energy and the Environment University of Texas at Austin Latin American Scholarship Program of American Universities 2011-08-12T21:24:51Z 2011-08-12T21:24:51Z 2009-01 2008-10 Article http://purl.org/eprint/type/JournalArticle 1680-7324 1680-7316 http://hdl.handle.net/1721.1/65133 Zavala, M. et al. “Comparison of Emissions from On-road Sources Using a Mobile Laboratory Under Various Driving and Operational Sampling Modes.” Atmospheric Chemistry and Physics 9.1 (2009) : 1-14. © Author(s) 2009 https://orcid.org/0000-0002-3596-5334 https://orcid.org/0000-0003-2339-3225 en_US http://dx.doi.org/10.5194/acp-9-1-2009 Atmospheric Chemistry and Physics Creative Commons Attribution 3.0 http://creativecommons.org/licenses/by/3.0 application/pdf European Geosciences Union / Copernicus Copernicus
spellingShingle Zavala-Perez, Miguel Angel
Herndon, S. C.
Wood, E. C.
Jayne, John T.
Nelson, David D.
Trimborn, A. M.
Dunlea, E.
Knighton, W. Berk
Mendoza, A.
Allen, David T.
Kolb, Charles E.
Molina, Mario J.
Molina, Luisa Tan
Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes
title Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes
title_full Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes
title_fullStr Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes
title_full_unstemmed Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes
title_short Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes
title_sort comparison of emissions from on road sources using a mobile laboratory under various driving and operational sampling modes
url http://hdl.handle.net/1721.1/65133
https://orcid.org/0000-0002-3596-5334
https://orcid.org/0000-0003-2339-3225
work_keys_str_mv AT zavalaperezmiguelangel comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT herndonsc comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT woodec comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT jaynejohnt comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT nelsondavidd comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT trimbornam comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT dunleae comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT knightonwberk comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT mendozaa comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT allendavidt comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT kolbcharlese comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT molinamarioj comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes
AT molinaluisatan comparisonofemissionsfromonroadsourcesusingamobilelaboratoryundervariousdrivingandoperationalsamplingmodes