Stochastic Programming Models for Air Quality Management

Five stochastic programming models are developed for identifying cost-effective acid rain control strategies. Four of the models are based upon chance constrained formulations—the last is a two-stage programming model with simple recourse. The chance constrained models include both traditional forms in which individual constraint reliability levels are user-prescribed constants, we well as a joint chance constrained model in which reliability levels are cast as decision variables.