The goal is to develop an inverse model capable of simultaneously estimating the parameters
appearing in an air pollution model for an instantaneous point source, by using measured gas
concentration data. The approach taken was to develop the inverse model as a non-linear least
squares estimation problem in which the source term is estimated using measurements of pollution
concentration on the ground. The statistical basis of the least squares inverse model allows
quantification of the uncertainty of the parameter estimates, which in turn allows estimation of
the uncertainty of the simulation model predictions.
