Application of a multi-lag regression approach to determine on-road PM10 and PM2.5 emission rates
نویسندگان
چکیده
Intensive measurements were performed at roadside locations in Reno, Nevada, and Durham/Research Triangle Park, North Carolina to derive mass emission factors from on-road vehicles. Measurements included continuous particulate matter (PM) concentrations (PM2.5, and PM10), wind speed, wind direction, and vehicle number, class, and speed. A multi-lag linear regression approach was applied to calculate mass emission rates using the continuous data. The output of the multi-lag regression model, the regression coefficients, along with the vehicle specifications and the wind speed/direction at each site were then used to calculate mass emission factors for light-duty spark ignition (LDSI) and heavy-duty diesel (HDD) vehicles. PM10 emission factors ranged from 530 to 9100mg/km, and from 90 to 850mg/ km for HDD and LDSI vehicles, respectively. PM2.5 emission factors ranged from 120 to 170mg/km, and from 10 to 90mg/km for HDD and LDSI vehicles, respectively. r 2003 Elsevier Ltd. All rights reserved.
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