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An ambient air quality study was carried out in the South Coast Air Basin in California in the summer of 1997. Non-methane hydrocarbon concentrations in the air to which clean air vehicles were exposed on roadways were studied by both computational simulations and experiments. Compared with conventional technologies of air quality simulations, a micro-scale model of ambient pollutants on roadways was used. Experimental observations showed that proposed model gave improved level of roadway concentrations.

Measuring the real-world performance of emission control technologies is an important aspect in the development of advanced low-emission vehicles. In addition, data acquired from such measurements can be used to improve the accuracy of air quality predictive models. Honda has developed an on-board sampling/analysis system capable of measuring on-road emissions at ULEV levels and below. Ambient air can be analyzed simultaneously. This FTIR-based system can measure several species; this paper will focus on NMHC, NOX, and CO. Techniques were developed to address the challenges associated with acquiring accurate real-time data at concentrations below 1 ppm in an on-road vehicle. Validation studies performed with reference gases and vehicle exhaust indicate a very good correlation between the on-road analyzer system and classic bench methods for all target compounds. Dynamic studies performed by the University of California, Riverside, also show good correlation.