气候变化领域集成服务门户(CCPortal): Sensitivity analysis of area-wide, mobile source emission factors to high-emitter vehicles in Los Angeles

CCPortal

DOI	10.1016/j.atmosenv.2019.117212
	Sensitivity analysis of area-wide, mobile source emission factors to high-emitter vehicles in Los Angeles
	Kelp M.; Gould T.; Austin E.; Marshall J.D.; Yost M.; Simpson C.; Larson T.
发表日期	2020
ISSN	1352-2310
卷号	223
英文摘要	The absolute principal component scores (APCS) model was applied to on-road, background-adjusted measurements of NOx, CO, CO2, black carbon (BC), and particle number (PN) obtained from a continuously moving platform deployed during 16 afternoon sampling periods in Los Angeles, CA. High-emitter biasing observations were separated from the vehicle fleet population based on a sensitivity analysis of different a priori screening values of the ratio of CO to CO2. A BC/PN-rich feature consistent with heavy-duty vehicle exhaust, and a separate CO/CO2-rich feature consistent with light-duty vehicle exhaust, described 66% of the variance of the observations. We used bootstrapped APCS model predictions to estimate area-wide, average fuel-based emission factors and their respective 95% confidence limits. If no screening was used, we obtained incongruous average emission factors relative to recent field studies for NOx, CO, BC and PN (5.1, 2.0, 0.13 g/kg, and 1.0 × 10^15 particles/kg for heavy-duty vehicles, and 2.0, 111, 0.023 g/kg, and 0.09 × 10^15 particles/kg for light-duty vehicles, respectively). However, if reasonable a priori screening values were applied, which differentiate measurements reflecting high-emitter outliers, average emission factors for NOx, CO, BC and PN (12.8, 4.0, 0.37 g/kg, and 2.6 × 10^15 particles/kg for heavy-duty vehicles, and 1.5, 40.9, 0.004 g/kg, and 0.08 × 10^15 particles/kg for light-duty vehicles, respectively) were consistent with previous estimates based on remote sensing, vehicle chase studies, and recent dynamometer tests. © 2019 Elsevier Ltd
英文关键词	High-emitting vehicles; Principal component analysis; Sensitivity analysis; Traffic related air pollution; Vehicle exhaust emission factors
语种	英语
scopus关键词	Air pollution; Carbon dioxide; Factor analysis; Fleet operations; Nitrogen oxides; Principal component analysis; Remote sensing; Vehicles; Confidence limit; Heavy duty vehicles; High emitting vehicles; Light duty vehicles; Mobile source emissions; Principal Components; Traffic-related air pollution; Vehicle exhaust emissions; Sensitivity analysis
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/129631
作者单位	Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA 02138, United States; University of Washington, Department of Civil and Environmental Engineering, Box 352700, Seattle, WA 98195-2700, United States; University of Washington, Department of Environmental and Occupational Health Sciences, Box 357234, Seattle, WA 98195-7234, United States
推荐引用方式 GB/T 7714	Kelp M.,Gould T.,Austin E.,et al. Sensitivity analysis of area-wide, mobile source emission factors to high-emitter vehicles in Los Angeles[J],2020,223.
APA	Kelp M..,Gould T..,Austin E..,Marshall J.D..,Yost M..,...&Larson T..(2020).Sensitivity analysis of area-wide, mobile source emission factors to high-emitter vehicles in Los Angeles.Atmospheric Environment,223.
MLA	Kelp M.,et al."Sensitivity analysis of area-wide, mobile source emission factors to high-emitter vehicles in Los Angeles".Atmospheric Environment 223(2020).