期刊文献+

Emissions of non-methane hydrocarbons from cars in China 被引量:3

Emissions of non-methane hydrocarbons from cars in China
原文传递
导出
摘要 This study investigated the exhaust emission of non-methane hydrocarbons(NMHCs) from cars in China at the Beijing driving cycle on the chassis dynamometer.The emission factor average of NMHCs was 0.9 g/km,which was over twice that from the Australian car fleet and 2-4 times that of the American car emission in the 1990s-2000s.The emission profile of Beijing cars showed higher fractions of aromatics and C4?C7 HCs,and lower percentages of C2?C3 HCs,compared with those of the US car fleet.The average ratio of benzene/toluene for cars tested was 0.5,the average benzene/toluene/ethyl benzene/xylenes(BTEX) ratios were 1/2.2/0.1/1.8,which were consistent with those of the Tanyugou tunnel located in the suburb of Beijing.α-pinene and β-pinene were detected from the exhaust gas on dynamometer for the first time,and had likely similar exhaust emission characteristics with C2?C3 HCs and styrene,giving an evidence that air pinenes may be related to human activities.Isoprene was also detected directly.These observations suggest that the procedure regarding pinenes and isoprene as coming from biologic sources of VOCs in the atmosphere should be applied with great care,especially in the core of the big city like Beijing.The specific reactivity of NMHCs was higher than that of cars of US,and the specific reactivity of volatile aromatic compounds was higher than that of the US SPECIATE database. This study investigated the exhaust emission of non-methane hydrocarbons(NMHCs) from cars in China at the Beijing driving cycle on the chassis dynamometer.The emission factor average of NMHCs was 0.9 g/km,which was over twice that from the Australian car fleet and 2-4 times that of the American car emission in the 1990s-2000s.The emission profile of Beijing cars showed higher fractions of aromatics and C4?C7 HCs,and lower percentages of C2?C3 HCs,compared with those of the US car fleet.The average ratio of benzene/toluene for cars tested was 0.5,the average benzene/toluene/ethyl benzene/xylenes(BTEX) ratios were 1/2.2/0.1/1.8,which were consistent with those of the Tanyugou tunnel located in the suburb of Beijing.α-pinene and β-pinene were detected from the exhaust gas on dynamometer for the first time,and had likely similar exhaust emission characteristics with C2?C3 HCs and styrene,giving an evidence that air pinenes may be related to human activities.Isoprene was also detected directly.These observations suggest that the procedure regarding pinenes and isoprene as coming from biologic sources of VOCs in the atmosphere should be applied with great care,especially in the core of the big city like Beijing.The specific reactivity of NMHCs was higher than that of cars of US,and the specific reactivity of volatile aromatic compounds was higher than that of the US SPECIATE database.
出处 《Science China Chemistry》 SCIE EI CAS 2010年第1期263-272,共10页 中国科学(化学英文版)
基金 support from the Environmental Defense Fund Program of National Natural Science of China (Grant No.40775075) the State Key Development Program for Basic Research of China (Grant Nos.2002CB211605,2002CB410801 & 2003CB415003) R & D Infrastructure and Facility Development Program (Grant No.2003DEB5J059) the MOST’s Project (Study on air pollution and its control strategy in Beijing City)
关键词 emission factor ISOPRENE PINENE PHOTOCHEMICAL REACTIVITY Beijing driving CYCLE car emission factor isoprene pinene photochemical reactivity Beijing driving cycle car
  • 相关文献

参考文献2

二级参考文献25

  • 1[1]Lindley D V,Smith A F M.Bayes estimates for the linear model.Journal of the Royal Statistical Society,Series B,1972,34:1-41
  • 2[2]Smith A F M.A general Bayesian linear model.Journal of the Royal Statistical Society,Series B,1973,35:67-75
  • 3[3]Mason W M,Wong G M,Entwistle B.Contextual Analysis Through the Multilevel Linear Model.In:Leinhardt S,ed.Sociological Methodology,San Francisco:Jossey-Bass,1983,72-103
  • 4[4]Goldstein H.Multilevel Statistical Models.2nd ed,New York:John Wiley,1995
  • 5[5]Elston R C,Grizzle J E.Estimation of time response curves and their confidence bands.Biometrics,1962,18:148-159
  • 6[6]Laird N M,Ware H.Random-effects models for longitudinal data.Biometrics,1982,38:963-974
  • 7[7]Longford N.A fast scoring algorithm for maximum likelihood estimation in unbalanced models with nested random effects.Biometrika,1987,74:817-827
  • 8[8]Singer J D.Using SAS PROC MIXED to fit multilevel models,hierarchical models and individual growth models.Journal of Educational and Behavioral Statistics,1998,23:323-355
  • 9[9]Rosenberg B.Linear regression with randomly dispersed parameters.Biometrika,1973,60:61-75
  • 10[10]Longford N.Random Coefficient Models.Oxford:Clarendon,1993

共引文献40

同被引文献87

引证文献3

二级引证文献120

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部