Unregulated pollutant emissions from on-road vehicles in China, 1999-2014.
Multi-year (1999-2014) vehicular unregulated pollutants emissions in China, including SO2, CH4, N2O, NH3, Indeno(1,2,3-cd)pyrene (IPY), Benzo(k)fluoranthene (BkF), Benzo(b)fluoranthene (BbF), Benzo(a)pyrene (BaP), dioxins and furans, were estimated based on emission factors calculated by COPERT. The inter-annual trends, correlation with GDP and population, spatial distribution characteristics, contributions from various vehicle types for the ten pollutants emissions were analyzed. Results showed that the emissions of the above ten pollutants changed from approximately 576.9Gg, 130.0Gg, 8.1Gg, 2.1Gg, 1.0Mg, 1.1Mg, 1.4Mg, 0.5Mg, 7.4g and 15.6g in 1999 to 193.8Gg, 171.1Gg, 79.1Gg, 117.8Gg, 3.5Mg, 6.7Mg, 6.8Mg, 2.9Mg, 37.6g and 79.1g in 2014, respectively. Implementation of stringent sulfur content limit during the past decade reduced approximately 94.4% of the SO2emission in 2014. CH4and N2O increased from 1999 to 2011, but began to decrease since 2012; NH3emission had the highest annual average change rate (35.5%) from 1999 to 2014; PAHs, dioxins and furans increased continuously during the past decade. The vehicular emissions were higher in Guangdong, Shandong, Henan, Jiangsu, Zhejiang and Hebei. Good linear correlation between vehicular emissions and GDP was found (except SO2); in the provinces/municipalities with higher population density, the emission density was also larger, indicating more significant vehicular emissions' potential damage on human health. HDT and PC, PC and MC, PC and BUS were the major contributors to SO2, CH4, N2O emissions, respectively. In 2014, PC was the dominant contributor to NH3emission; PC, BUS and HDT had higher fraction in the total IPY and BaP emissions; HDT was the major contributor to BkF and BbF emissions. In addition, the uncertainties of estimated emissions were also analyzed based on Monte Carlo simulation.
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China; College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China. Electronic address: jllang@bjut.edu.cn.
Jianlei
J
Lang
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China; College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China.
Ying
Y
Zhou
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China; College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China; Collaborative Innovation Center of Electric Vehicles, Beijing 100081, China.
Shuiyuan
S
Cheng
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China; College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China.
Yanyun
Y
Zhang
College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China.
Meng
M
Dong
College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China.
Shengyue
S
Li
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China; College of Environmental & Energy Engineering, Beijing University of Technology, Beijing 100124, China.
Gang
G
Wang
Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China.
Yonglin
Y
Zhang
D000393:Air Pollutants / Q000032:analysis*; D002681:China; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D009010:Monte Carlo Method; D018986:Motor Vehicles / Q000706:statistics & numerical data; D035501:Uncertainty; D001335:Vehicle Emissions / Q000032:analysis*
D000393:Air Pollutants; D001335:Vehicle Emissions
China; Dioxins and furans; Gaseous pollutants; PAHs; Vehicular emissions