气候变化领域集成服务门户(CCPortal): Real-time PM10 emission rates from paved roads by measurement of concentrations in the vehicle's wake using on-board sensors part 1. SCAMPER method characterization

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DOI	10.1016/j.atmosenv.2020.117483
	Real-time PM10 emission rates from paved roads by measurement of concentrations in the vehicle's wake using on-board sensors part 1. SCAMPER method characterization
	Fitz D.R.; Bumiller K.; Bufalino C.; James D.E.
发表日期	2020
ISSN	1352-2310
卷号	230
英文摘要	Based on emission factors derived from the AP-42 algorithm, particulate matter from paved roads has been estimated to be a major source of PM10 of geologic origin. This is an empirical formula based on upwind-downwind measurement of PM10 concentrations and is dependent solely on the silt loading of the pavement and the weight of vehicles. A number of upwind-downwind studies conducted in urban areas to validate this algorithm have been generally inconclusive because the PM10 concentration difference between upwind and downwind often is within the measurement uncertainty. In the approach presented here PM10 concentrations were measured directly behind a moving vehicle in order to improve the measurement sensitivity for estimating the emission rates for vehicles on paved roads. Optical sensors were used to measure PM10 concentrations with a time resolution of approximately 10 s. Sensors were mounted in the front of the vehicle and behind it in the well-mixed wake. A special inlet probe was designed to allow isokinetic sampling under varying speed conditions. As a first approximation the emission rate was calculated by multiplying the PM10 concentration difference between the front and rear of a moving vehicle by the frontal area of the vehicle. This technique is also useful for quickly surveying large areas and for investigating hot spots on roadways caused by greater than normal deposition of PM10 forming debris. The method is designated as SCAMPER: System for the Continuous Aerosol Measurement of Particulate Emissions from Roads. Part I describes SCAMPER development and Part II describes a comprehensive field testing of mobile methods. © 2020 Elsevier Ltd
英文关键词	Particles (particulate matter); Uncertainty analysis; Vehicles; Wakes; Aerosol measurement; Empirical formulas; Isokinetic sampling; Measurement sensitivity; Measurement uncertainty; Particulate Matter; PM10 concentration; Varying speed conditions; Particulate emissions; aerosol property; atmospheric motion; concentration (composition); emission; empirical analysis; particle size; particulate matter; pavement; real time; road transport; wake; air sampling; Article; atmospheric dispersion; exhaust gas; highway; measurement precision; motor vehicle; particulate matter; priority journal; time series analysis; urban area
语种	英语
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/169126
作者单位	College of Engineering-Center for Environmental Research and Technology, University of California, Riverside, 1084 Columbia Avenue, Riverside, CA 92507, United States; Department of Civil and Environmental Engineering, University of Nevada, Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154, United States
推荐引用方式 GB/T 7714	Fitz D.R.,Bumiller K.,Bufalino C.,et al. Real-time PM10 emission rates from paved roads by measurement of concentrations in the vehicle's wake using on-board sensors part 1. SCAMPER method characterization[J],2020,230.
APA	Fitz D.R.,Bumiller K.,Bufalino C.,&James D.E..(2020).Real-time PM10 emission rates from paved roads by measurement of concentrations in the vehicle's wake using on-board sensors part 1. SCAMPER method characterization.Atmospheric Environment,230.
MLA	Fitz D.R.,et al."Real-time PM10 emission rates from paved roads by measurement of concentrations in the vehicle's wake using on-board sensors part 1. SCAMPER method characterization".Atmospheric Environment 230(2020).