2009
DOI: 10.5194/acp-9-6305-2009
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Evaluation of mobile emissions contributions to Mexico City's emissions inventory using on-road and cross-road emission measurements and ambient data

Abstract: Abstract. Mobile emissions represent a significant fraction of the total anthropogenic emissions burden in the Mexico City Metropolitan Area (MCMA) and, therefore, it is crucial to use top-down techniques informed by on-road exhaust measurements to evaluate and improve traditional bottom-up official emissions inventory (EI) for the city. We present the measurements of on-road fleet-average emission factors obtained using the Aerodyne mobile laboratory in the MCMA in March 2006 as part of the MILAGRO/MCMA-2006 … Show more

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Cited by 52 publications
(24 citation statements)
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“…On-road vehicle fleet emission rates in fleet-average mode for various vehicle classes and driving speeds were obtained using a mobile laboratory and identified several discrepancies between the observations and the emission estimates in the 2004 emissions inventory. These included slight over predictions of CO and NO, a probable under prediction of VOC by a factor of 1.4-1.9, and a severely underestimation of the PM emission estimates [71,72]. Recent studies have shown that some chemical species emitted by vehicular traffic in the MCMA have decreased since then [46,73]; however, motor vehicles still play a major role in supplying the NO x and VOC precursors that fuel MCMA's extremely active photochemistry [24], as well as producing abundant amounts of primary PM, elemental carbon, particle-bound polycyclic aromatic hydrocarbons, and a wide range of air toxics.…”
Section: Emissions Of Gaseous and Particulate Pollutantsmentioning
confidence: 99%
“…On-road vehicle fleet emission rates in fleet-average mode for various vehicle classes and driving speeds were obtained using a mobile laboratory and identified several discrepancies between the observations and the emission estimates in the 2004 emissions inventory. These included slight over predictions of CO and NO, a probable under prediction of VOC by a factor of 1.4-1.9, and a severely underestimation of the PM emission estimates [71,72]. Recent studies have shown that some chemical species emitted by vehicular traffic in the MCMA have decreased since then [46,73]; however, motor vehicles still play a major role in supplying the NO x and VOC precursors that fuel MCMA's extremely active photochemistry [24], as well as producing abundant amounts of primary PM, elemental carbon, particle-bound polycyclic aromatic hydrocarbons, and a wide range of air toxics.…”
Section: Emissions Of Gaseous and Particulate Pollutantsmentioning
confidence: 99%
“…Yokelson et al (2007) compared estimated fire PM amounts from aircraft-based emission measurements to the emissions inventory from the Mexico City metropolitan area and estimated that ∼79-92% of the primary particle mass generated in the Mexico City area is from forest fires near Mexico City, and ∼50%±30% of the aged PM 2.5 (not just of the OA) is from fires. However these authors estimated the urban primary contribution from the MCMA emissions inventory, which has been shown to substantially underestimate primary fine particles (Aiken et al, 2009b;Zavala et al, 2009), and also assumed a doubling of the POA/ CO ratio for BB plumes due to SOA formation, which is likely too large as discussed below, and thus the actual percentage BB contribution to PM 2.5 is likely lower. Querol et al (2008) estimate that BB contributed about 10% of the PM 2.5 during MILAGRO at the T0 urban supersite, which would correspond to about 18% of the OA.…”
Section: Introductionmentioning
confidence: 99%
“…Several aspects of OA formation in Mexico City have already been addressed in recent studies which have shown that the emissions of POA from both anthropogenic activities and biomass burning are reasonably represented in the emission inventories and models, with perhaps some underprediction of the urban POA, and mixed results for the BB POA with overprediction downwind of some large fires but underprediction in the urban area in the early morning (e.g. Hodzic et al, 2009;Zavala et al, 2009). A better prediction of the temporal trend of BBOA was achieved when the emissions profile took into account the emissions during the late evening into the shallow nighttime boundary layer (Aiken et al, 2009b).…”
Section: Introductionmentioning
confidence: 99%