globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2015.03.038
Scopus记录号: 2-s2.0-84925439729
论文题名:
Multivariate analysis between driving condition and vehicle emission for light duty gasoline vehicles during rush hours
作者: Qu L; , Li M; , Chen D; , Lu K; , Jin T; , Xu X
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 110
起始页码: 103
结束页码: 110
语种: 英语
英文关键词: Correlation analysis ; Driving condition ; Portable emission measurement system (PEMS) ; Vehicle emission ; Vehicle specific power (VSP)
Scopus关键词: Air pollution control equipment ; Airships ; Carbon dioxide ; Catalytic converters ; Correlation methods ; Gasoline ; Multivariant analysis ; Correlation analysis ; Driving conditions ; Emission measurement systems ; Vehicle emission ; Vehicle specific power ; Vehicles ; carbon dioxide ; carbon monoxide ; gasoline ; atmospheric pollution ; carbon dioxide ; carbon emission ; correlation ; emission inventory ; multivariate analysis ; traffic emission ; acceleration ; Article ; carbon footprint ; driving ability ; environmental protection ; exhaust gas ; human ; multivariate analysis ; priority journal ; velocity ; China ; Tianjin
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: Fourteen light-duty gasoline vehicles were tested by an OBS-2200 portable emission measurement system (PEMS). Vehicle speed, acceleration and emission rates of HC, CO, NOx and CO2 were recorded during rush hours (7:00-9:00 and 16:30-18:30 local time) in Tianjin, China. The emission factors of HC, CO and NOx for carbureted vehicles were 10, 4, 3 times higher than those with MPI (multi-points injection) and TWC (three-way catalytic converter), respectively. The emission factors of CO2 for carburetor car were 29% lower than those with MPI and TWC. For both types of vehicles, the Pearson correlation coefficients, between speed and CO2 emission in the mode of accelerating as well as between VSP (vehicle specific power) and CO2 emission when VSP>0, remained relatively high (r>0.5, p<0.001) and stable. This high repeatability of correlation was also found for NOx in carburetor vehicles. Linear trends between emission rates and VSP (bin-averaged data) were observed for NOx and CO2 from MPI vehicles, and HC, NOx and CO2 from carburetor vehicles. © 2015 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81787
Appears in Collections:气候变化事实与影响

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作者单位: State Envir. Protection Key Lab of Urban Ambient Air Particulate Matter Pollution Prevention Control, College of Environmental Science and Engineering, Nankai University, Tianjin, China; China Automotive Research and Technology Center, Tianjin, China; Department of Civil and Environmental Engineering, University of Windsor, Windsor, ON, Canada

Recommended Citation:
Qu L,, Li M,, Chen D,et al. Multivariate analysis between driving condition and vehicle emission for light duty gasoline vehicles during rush hours[J]. Atmospheric Environment,2015-01-01,110
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