Mathematical modeling for air quality management under stochastic and interval uncertainties

摘要: In this study, an inexact stochastic robust air quality management model (ISRAQMM) was developed for supporting regional pollution control. The Fengrun district in Tangshan City, China, used as a study case demonstration. ISRAQMM has the advantages of reflecting uncertainty and evaluating trade-offs between system economy reliability, where parameters are provided discrete intervals deterministic values under various scenarios. model’s objective function integration expected cost, cost variability penalty constraints violation rather than traditional considering only economic factor; meanwhile, were expressed intervals, which have low data requirements. A variety solutions obtained, could be to help evaluate trade-off reliability. Using applicability demonstrated. set conservative with lower risks cost-effective higher provided. balanced scenario solution recommended decision makers, since it respects both successful applications studied real world good demonstration many other areas.