کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1066359 | 948691 | 2006 | 14 صفحه PDF | دانلود رایگان |
Emissions from motor vehicles are a major source of air pollution and studies have shown that exposure to the particulate matter in fresh diesel exhaust is a significant risk to health. Short-term peak exposures are thought to have the greatest impact. Despite the development of several vehicle power-based models to estimate the second-by-second mass emission rates of gaseous pollutant species such as carbon monoxide, carbon dioxide, hydrocarbons and nitrogen oxides, none of these models predicts particulate matter emissions. This paper presents a new technique for modelling the second-by-second particulate matter mass emission rate of a light-duty diesel vehicle. Here, particulate matter emission rates are modelled as a function of both vehicle kinematic parameters (i.e., speed or acceleration) and the mass emission rates of the gaseous co-pollutants. The importance of time alignment in the calibration data is evaluated and a technique for deriving an appropriate lag structure is devised. Various regression models are estimated that provide a good model fit, comparable to existing models of gaseous pollutants.
Journal: Transportation Research Part D: Transport and Environment - Volume 11, Issue 5, September 2006, Pages 344–357