Predicting daytime urban ozone patterns with the asp model

Abstract

An improved air quality model for predicting daytime urban volume‐averaged diurnal ozone concentration patterns is presented. The model, which is an Analytical Spatially‐averaged Photochemical (ASP) non‐steady state box model, is designed for screening air pollution control strategies. An evaluation of the ASP model is carried out by comparing the model results with surface monitoring data and the predictions of a well‐tested airshed model. The general performance of the ASP model is investigated for a wide range of meteorological conditions and emissions rates.