Modeling of Freeway Air Quality During Recurring and Nonrecurring Congestion Events

Modeling of Freeway Air Quality During Recurring and Nonrecurring Congestion Events

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Freeway emissions pose significant risk to human health and the environment. The ability to manage freeway air pollution depends on our ability to model and predict the pollutant emissions. This research has developed applied models to predict air pollutants under normal and congested traffic conditions. Regression and neural network models were developed for forecasting hourly PM2.5 and CO concentrations. The availability of real time PM2.5 and CO forecasts will help highway managers to identify air pollution episodic events beforehand and to determine mitigation strategies.Freeway emissions pose significant risk to human health and the environment.


Title:Modeling of Freeway Air Quality During Recurring and Nonrecurring Congestion Events
Author: Salimol Thomas
Publisher:ProQuest - 2007
ISBN-13:

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