Ozone Forecasting Using Empirical Modeling

Abstract

Air pollution forecasting is not a new field but is certainly an area with only modest development since its early beginnings. Because ozone Is not a source emission but instead is formed from precursors, ozone episodes should be more readily forecasted than other pollutants by simply monitoring the precursors. The ozone empirical model developed within the course of this study is very site specific, therefore the major goal of the study was to establish the techniques which can be used to develop an ozone forecasting model for specific monitoring networks. The results of using the ozone forecasting model showed that even though errors as high as 25 % occurred the typical error In forecasting was in the 5-10% range.