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 u pon chance constrained formulations-the last is a two-stage programmin g model with simple recourse. The chance constrained models include bo th 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.