On-road emission characteristics of VOCs from light-duty gasoline vehicles in Beijing, China

Cao, Xinyue; Yao, Zheng; Shen, Xianbao; Yu, Ye; Jiang, Xi

doi:10.1016/j.atmosenv.2015.06.019

Cited by 119 publications

(58 citation statements)

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“…Imperfections in comprehensiveness and accuracy of estimation can also be improved by using local emission factors and speciation published recently (Liu et al, 2009Yao et al, 2015;Zhang et al, 2015;Cao et al, 2016). Instead of emission factors given by commonly used vehicle emission models developed by the US and Europe -e.g., COPERT, MOVES, MOBILE and IVE -the measured local emission factors offer a relevant and more accurate estimation of local emission levels.…”

Section: Introductionmentioning

confidence: 99%

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An updated emission inventory of vehicular VOCs and IVOCs in China

et al. 2017

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Abstract. Currently, the emission inventory of vehicular volatile organic compounds (VOCs) is one of those with the largest errors and uncertainties due to suboptimal estimation methods and the lack of first-hand basic data. In this study, an updated speciated emission inventory of VOCs and an estimation of intermediate-volatility organic compounds (IVOCs) from vehicles in China at the provincial level for the year of 2015 are developed based on a set of state-of-the-art methods and an abundance of local measurement data. Activity data for light-duty vehicles are derived from trajectories of more than 70 000 cars for 1 year. The annual mileage of trucks are calculated from reported data by more than 2 million trucks in China. The emission profiles are updated using measurement data. Vehicular tailpipe emissions (VTEs) and four types of vehicular evaporation emissions (VEEs), including refueling, hot soak, diurnal and running loss, are taken into account. Results show that the total vehicular VOC emissions in China are 4.21 Tg (with a 95 % confidence interval range from 2.90 to 6.54 Tg) and the IVOC emissions are 200.37 Gg in 2015. VTEs are still the predominant contributor, while VEEs are responsible for 39.20 % of VOC emissions. The control of VEEs is yet to be optimized in China. Among VTEs, passenger vehicles emissions have the largest share (49.86 %), followed by trucks (28.15 %) and motorcycles (21.99 %). Among VEEs, running loss is the largest contributor (81.05 %). For both VTEs and VEEs, Guangdong, Shandong and Jiangsu province are three of the highest, with a respective contribution of 10.66, 8.85 and 6.54 % to the total amounts of VOCs from vehicles. 97 VOC species are analyzed in this VOC emission inventory. i-Pentane, toluene and formaldehyde are found to be the most abundant species in China's vehicular VOC emissions. The estimated IVOCs are another "inconvenient truth", concluding that precursor emissions for secondary organic aerosol (SOA) from vehicles are much larger than previously estimated.

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Section: Introductionmentioning

confidence: 99%

“…More detailed vehicle number data by fuel type and emission control technology are required to calculate emissions as they were reported to have distinct influences on emission factors (Huo et al, 2012;Zhang et al, 2015;Cao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

An updated emission inventory of vehicular VOCs and IVOCs in China

et al. 2017

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“…In recent years, a great number of researchers began to use the portable emission measurement systems (PEMS) to study the emission characteristics of motor vehicles because of their ability to reflect emissions under real-world condi-tions [7] [28].…”

Section: Methodsmentioning

confidence: 99%

“…74 VOC species were detected from the tested vehicles, including 22 alkanes, 6 alkenes, 1 alkynes, 16 aromatics, 3 cyclanes, 10 halohydrocarbons, 12 carbonyls and 4 other compounds [7].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Air Pollution, by the Urban Traffic, in University Campus of Bucharest

Popescu¹,

Popescu²

2017

JEP

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This study aims to measure traffic-related air pollution of vehicles with internal combustion, the main source of emissions of BTEX, organic compounds and NO x , NO 2 , NO, O 3 , CO, SO 2 , PM 10 and PM 2.5 , inorganic compounds, in three sites of the University campus, surrounded by residential areas. According to the University data, around 8000 students are being exposed daily to the measured level of pollution, in all 3 studied places of campus. A mobile laboratory was used, which continuously measures above mentioned pollutants and meteorological parameters. The diurnal variation of BTEX, in a sunny and rainy day showed two peaks of BTEX concentration in the morning and evening. In the rainy days, the non-polar (hydrophobic) compounds as BTEX are mechanically trained by rain into the ground, where either they enter into the groundwater, or volatilized and re-enter in the air. Particulate matter such as PM 10 and PM 2.5 is, in a large part, carried by the rain into the soil. The polar compounds (hydrophilic, NO x , SO 2 ) dissolves in the rainwater and are absorbed in the soil (increasing soil acidity) and evaporated towards the clouds (leading to acid rain). In our study, BTEX compounds removed by the rain varied between 62% -75%, NO x and SO 2 , 80% and 77% respectively. Particulate matters were washed out up to 68% for PM 10 , and 42% for PM 2.5 . In the sunny days the air pollution with measured concentrations of O 3 (121.66 ± 7.02, 123.56 ± 4.89 µg/m 3

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