期刊
ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 43, 期 5, 页码 1419-1424出版社
AMER CHEMICAL SOC
DOI: 10.1021/es8021039
关键词
-
资金
- California Air Resources Board [05-309]
Emission factors for black carbon (BC) and particle number (PN) were measured from 226 individual heavy-duty (HD) diesel trucks driving through a 1-km-long California highway tunnel in August 2006. Emission factors were based on concurrent increases in BC, PN, and CO2 concentrations (measured at 1 Hz) that corresponded to the passage of individual HD trucks. The distributions of BC and PN emission factors from individual HD trucks are skewed, meaning that a large fraction of pollution comes from a small fraction of the in-use vehicle fleet The highest-emitting 10% of trucks were responsible for similar to 40% of total BC and PN emissions from all HD trucks. BC emissions were log-normally distributed with a mean emission factor of 1.7 g kg(-1) and maximum values of similar to 10 g kg(-1). Corresponding values for PN emission factors were 4.7 x 10(15) and 4 x 10(16) # kg(-1). There was minimal overlap among high-emitters of these two pollutants: only 1 of the 226 HD trucks measured was found to be among the highest 10% for both BC and PN. Monte Carlo resampling of the distribution of BC emission factors observed in this Study revealed that uncertainties (1 sigma) in extrapolating from a random sample of n HD trucks to a population mean emission factor ranged from +/- 43% for n = 10 to +/- 8% for n = 300, illustrating the importance of vehicle sample sizes in emissions studies. When n = 10, sample means are more likely to be biased due to misrepresentation of high-emitters. As vehicles become cleaner on average in the future, skewness of the emissions distributions will increase, and thus sample sizes needed to extrapolate reliably from a subset of vehicles to the entire in-use vehicle fleet will become more of a challenge.
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