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, as well as a joint chance constrained model in which reliability levels are cast as decision variables.