The Model for Monitoring of Pollutants in Pyrometallurgy Industries Located in Different Regions

Ecological sustainability and balance are the elements of sustainable development. In this paper, using fuzzy logic, a model is presented to monitor region wise industrial pollutants in pyrometallurgy industries. The model has been used in a case study that will determine which industry, in which region, producing which and how much pollutants, is compatible with ecology. To assess the ecological compatibility, first, the set of industries, regions, pollutants and ecological compatibility were defined, then to calculate the membership degree of the members of the ecology compatibility set, the membership function of ecological compatibility was defined. By ranking different industries in various regions, creating different pollutants, as continuous figures, the ecological compatibility of these industries was accurately compared. Given the degree of ecological compatibility in a region, the type of pollution, and the related industry, identification of the lowest degree of ecological compatibility was the first priority of this case study. Results of the conducted case study, without considering the region coefficient, show that member C241, in December 2005 with an ecological degree of compatibility equivalent to 0.0559 has the most critical condition in producing the air pollutant, carbon dioxide. However, on considering the region coefficient, member C121, in December 2005 with an ecological degree of compatibility equivalent to 0.0655 has the most critical condition in producing the air pollutant, carbon dioxide.