Welcome to Journal of Beijing Institute of Technology
| Citation: | Lijun Hao, Chunxiao Hao, Liang Ji, Hang Yin, Weiqiang Zhang, Xiaohu Wang, Jin Liu. Statistical Modeling of Exhaust Emissions from Gasoline Passenger Cars[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2021, 30(zk): 52-63.doi:10.15918/j.jbit1004-0579.20101
|
| [1] |
Wang H, Ge Y, Tan J, et al. The real-world emissions from urban freight trucks in Beijing [J]. Aerosol and Air Quality Research, 2018, 18: 1448−1456.
doi:10.4209/aaqr.2017.11.0535
|
| [2] |
Zhang S, Wu Y, Zhao B, et al. City-specific vehicle emission control strategies to achieve stringent emission reduction targets in China’s Yangtze River Delta region [J]. Journal of Environmental Sciences, 2017, 51: 75−87.
doi:10.1016/j.jes.2016.06.038
|
| [3] |
Wang X, Yin H, Ge Y, et al. On-vehicle emission measurement of a light-duty diesel van at various speeds at high altitude [J]. Atmospheric Environment, 2013, 81: 263−269.
doi:10.1016/j.atmosenv.2013.09.015
|
| [4] |
Andre M, Rapone M. Analysis and modelling of the pollutant emissions from European cars as regards the driving characteristics and test cycles [J]. Atmospheric Environment, 2008, 43: 986−995.
|
| [5] |
Boroujeni B Y, Frey H C. Road grade quantification based on global positioning system data obtained from real-world vehicle fuel use and emissions measurements [J]. Atmospheric Environment, 2014, 85: 179−186.
doi:10.1016/j.atmosenv.2013.12.025
|
| [6] |
Hao Lijun, Hao Chunxiao, Qiu Taihua. Investigation and simulation of CNG bus emissions based on real-world emission measurement [J]. Journal of Beijing Institute of Technology, 2019, 28(2): 198−208.
|
| [7] |
Ajtay D, Weilenmann M, Soltic P. Towards accurate instantaneous emission models [J]. Atmospheric Environment, 2005, 39: 2443−2449.
doi:10.1016/j.atmosenv.2004.03.080
|
| [8] |
Ntziachristos L, Samaras Z. COPERT III. Computer program to calculate emissions from road transport, methodology and emission factors (version 2.1). Technical Report No. 49[R]. Copenhagen: European Environment Agency, 2000.
|
| [9] |
Haa P, Keller M. Emission factors for passenger cars: application of instantaneous emission modeling [J]. Atmospheric Environment, 2000, 34: 4629−4638.
doi:10.1016/S1352-2310(00)00233-8
|
| [10] |
Jiménez J L. Understanding and quantifying motor vehicle emissions with vehicle specific power and TILDAS remote-sensing[D]. Cambridge, USA: Massachusetts Institute of Technology, 1999.
|
| [11] |
Frey M. Methodology for developing modal emission rates for EPA’s moves (PDF). EPA420-R-02-027[R]. Washington D C, USA: Environmental Protection Agency (EPA), 2002.
|
| [12] |
Hansen J Q, Winther M, Sorenson S C. The influence of driving patterns on petrol passenger car emissions [J]. Science of the Total Environment, 1995, 169: 129−139.
doi:10.1016/0048-9697(95)04641-D
|
| [13] |
Samuel S, Morrey D, Fowkes M, et al. Numerical investigation of real-world gasoline car drive-cycle fuel economy and emissions. SAE paper No.2004-01-0635[R].DOI:
10.4271/2004-01-0635.
|
| [14] |
Barth M, Malcolm C, Younglove T, et al. Recent validation efforts for a comprehensive modal emissions model [J]. Journal of the Transportation Research Board, 2001, 1750: 13−23.
doi:10.3141/1750-02
|
| [15] |
US EPA. A series of MOBILE6 technical reports and user’s guide[R]. Ann Arbor, USA: Office of Mobile Sources, Office of Air and Radiation, 1999.
|
| [16] |
Smit R, Smokers R, Rabé E. A new modelling approach for road traffic emissions: VERSIT+ [J]. Transportation Research Part D-Transport and Environment, 2007, 12: 414−422.
doi:10.1016/j.trd.2007.05.001
|
| [17] |
Leung D Y C, William D J. Modelling of motor vehicle fuel consumption and emissions using a power-based model [J]. Environmental Monitoring and Assessment, 2000, 65(1): 21−29.
|
| [18] |
Giakoumis E G. A statistical investigation of biodiesel effects on regulated exhaust emissions during transient cycles [J]. Applied Energy, 2012, 98: 273−291.
doi:10.1016/j.apenergy.2012.03.037
|
| [19] |
Fu Lixin, Hao Jiming, He Dongquan, et al. The emission characteristics of pollutants from motor vehicles in Beijing [J]. Environmental Science, 2000, 21(3): 68−70.
|
| [20] |
He Chunyu, Wang Qidong. Vehicle emission factors determination using CMEM in Beijing [J]. Research of Environmental Sciences, 2006, 19(1): 109−112.
|
| [21] |
Song Xiangyu, Xie Shaodong. Development of vehicular emission inventory in China [J]. Environmental Science, 2006, 27(6): 1041−1045.
|
| [22] |
Wang H, Chen C, Huang C, et al. On-road vehicle emission inventory and its uncertainty analysis for Shanghai, China [J]. Science of the Total Environment, 2008, 398: 60−67.
doi:10.1016/j.scitotenv.2008.01.038
|
| [23] |
Kim J, Choi K, Myung C L, et al. Comparative investigation of regulated emissions and nano-particle characteristics of light duty vehicles using various fuels for the FTP-75 and the NEDC mode [J]. Fuel, 2013, 106: 335−343.
doi:10.1016/j.fuel.2012.12.047
|
| [24] |
Moler B C. Numerical computing with MATLAB revised in 2013[M]. Beijing: Beijing University of Aeronautics and Astronautics Press, 2014.
|
| [25] |
European Union(EU). 80/1268/EEC Council Directive. Relating to the carbon dioxide emissions and the fuel consumption of motor vehicles (as last amended by 1999/100/EC) [S]. Brussels: European Union, 2000.
|
| [26] |
Tutuianu M, Bonnel P, Ciuffo B, et al. Development of the world-wide harmonized light duty test cycle (WLTC) and a possible pathway for its introduction in the European legislation [J]. Transportation Research Part D-Transport and Environment, 2015, 40: 61−75.
doi:10.1016/j.trd.2015.07.011
|
| [27] |
Rodgers J L, Nicewander W A. Thirteen ways to look at the correlation coefficient [J]. The American Statistician, 1988, 42(1): 59−66.
|
Figures(7)/Tables(3)
Supported by:Beijing Renhe Information Technology Co. Ltd
DownLoad:
