Statistical modeling in setting air quality standards

The earth's atmosphere is a stochastic complex system which includes amongst other things pollution fields some of which derive from anthropogenic sources. Because of their negative health impacts, these fields are now the subject to regulation. However setting the air quality standards needed to regulate them is itself a complex business and that leads to a need for good models for these fields and for predicting human exposures to them. This talk, drawing on my recent experience and research connected with ozone, will describe:
-physical and statistical approaches to modelling pollution field and why these must be combined in setting standards;
-a computer model for predicting human exposure and why it is needed for the same purpose.
Finally I will try to convey a sense of the difficulties faced by scientists involved in what has come to be called "post normal" science and in particular, the process of involving them in the process of developing standards.