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• W2103669677 abstract "Abstract. The goal of this research is to quantify diesel- and gasoline-powered motor vehicle emissions within the Mexico City Metropolitan Area (MCMA) using on-road measurements captured by a mobile laboratory combined with positive matrix factorization (PMF) receptor modeling. During the MCMA-2006 ground-based component of the MILAGRO field campaign, the Aerodyne Mobile Laboratory (AML) measured many gaseous and particulate pollutants, including carbon dioxide, carbon monoxide (CO), nitrogen oxides (NOx), benzene, toluene, alkylated aromatics, formaldehyde, acetaldehyde, acetone, ammonia, particle number, fine particulate mass (PM2.5), and black carbon (BC). These serve as inputs to the receptor model, which is able to resolve three factors corresponding to gasoline engine exhaust, diesel engine exhaust, and the urban background. Using the source profiles, we calculate fuel-based emission factors for each type of exhaust. The MCMA's gasoline-powered vehicles are considerably dirtier, on average, than those in the US with respect to CO and aldehydes. Its diesel-powered vehicles have similar emission factors of NOx and higher emission factors of aldehydes, particle number, and BC. In the fleet sampled during AML driving, gasoline-powered vehicles are found to be responsible for 97% of total vehicular emissions of CO, 22% of NOx, 95–97% of each aromatic species, 72–85% of each carbonyl species, 74% of ammonia, negligible amounts of particle number, 26% of PM2.5, and 2% of BC; diesel-powered vehicles account for the balance. Because the mobile lab spent 17% of its time waiting at stoplights, the results may overemphasize idling conditions, possibly resulting in an underestimate of NOx and overestimate of CO emissions. On the other hand, estimates of the inventory that do not correctly account for emissions during idling are likely to produce bias in the opposite direction.The resulting fuel-based estimates of emissions are lower than in the official inventory for CO and NOx and higher for VOCs. For NOx, the fuel-based estimates are lower for gasoline-powered vehicles but higher for diesel-powered ones compared to the official inventory. While conclusions regarding the inventory should be interpreted with care because of the small sample size, 3.5 h of driving, the discrepancies with the official inventory agree with those reported in other studies." @default.
• W2103669677 created "2016-06-24" @default.
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• W2103669677 date "2010-04-20" @default.
• W2103669677 modified "2023-09-30" @default.
• W2103669677 title "Application of positive matrix factorization to on-road measurements for source apportionment of diesel- and gasoline-powered vehicle emissions in Mexico City" @default.
• W2103669677 cites W1964000645 @default.
• W2103669677 cites W1965923187 @default.
• W2103669677 cites W1965966873 @default.
• W2103669677 cites W1967572794 @default.
• W2103669677 cites W1971852563 @default.
• W2103669677 cites W1973866587 @default.
• W2103669677 cites W1974048957 @default.
• W2103669677 cites W1975995480 @default.
• W2103669677 cites W1982167556 @default.
• W2103669677 cites W1983914312 @default.
• W2103669677 cites W1985056102 @default.
• W2103669677 cites W1985869682 @default.
• W2103669677 cites W1987150968 @default.
• W2103669677 cites W1989061305 @default.
• W2103669677 cites W1989654976 @default.
• W2103669677 cites W1993920243 @default.
• W2103669677 cites W1994546967 @default.
• W2103669677 cites W1999516548 @default.
• W2103669677 cites W2020366808 @default.
• W2103669677 cites W2020486620 @default.
• W2103669677 cites W2026425674 @default.
• W2103669677 cites W2026938678 @default.
• W2103669677 cites W2027825610 @default.
• W2103669677 cites W2031060729 @default.
• W2103669677 cites W2031319251 @default.
• W2103669677 cites W2031696966 @default.
• W2103669677 cites W2040411940 @default.
• W2103669677 cites W2042766644 @default.
• W2103669677 cites W2043266538 @default.
• W2103669677 cites W2054648797 @default.
• W2103669677 cites W2060445620 @default.
• W2103669677 cites W2060912702 @default.
• W2103669677 cites W2062492106 @default.
• W2103669677 cites W2063058870 @default.
• W2103669677 cites W2064104006 @default.
• W2103669677 cites W2071017117 @default.
• W2103669677 cites W2072095284 @default.
• W2103669677 cites W2073235600 @default.
• W2103669677 cites W2074528094 @default.
• W2103669677 cites W2080302770 @default.
• W2103669677 cites W2088412564 @default.
• W2103669677 cites W2089079408 @default.
• W2103669677 cites W2097905500 @default.
• W2103669677 cites W2113331525 @default.
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• W2103669677 cites W2122308123 @default.
• W2103669677 cites W2123451558 @default.
• W2103669677 cites W2124158495 @default.
• W2103669677 cites W2125914239 @default.
• W2103669677 cites W2132697941 @default.
• W2103669677 cites W2132787576 @default.
• W2103669677 cites W2134885118 @default.
• W2103669677 cites W2137051291 @default.
• W2103669677 cites W2139793434 @default.
• W2103669677 cites W2141997238 @default.
• W2103669677 cites W2146904478 @default.
• W2103669677 cites W2159747438 @default.
• W2103669677 cites W2161120624 @default.
• W2103669677 cites W2166063496 @default.
• W2103669677 cites W2170013960 @default.
• W2103669677 cites W2497244391 @default.
• W2103669677 cites W4293861214 @default.
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• W2103669677 doi "https://doi.org/10.5194/acp-10-3629-2010" @default.
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