The Monitoring Model of Pollutants in Pyrometallurgy Industries in Different Regions

The purpose of the 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 ecologically compatible. To assess the ecological compatibility, first, the sets of industries, regions, pollutants and ecology compatibility were defined. Then, to calculate the membership degree of the members of the ecology compatibility set, the membership function of ecology compatibility was defined. By ranking different industries in various regions, producing 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 pollutant 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 in December 2005, member C241, with an ecological degree of compatibility equivalent to 0.0559, had the most critical condition in producing carbon dioxide. However, in the same period in 2005, on considering the region coefficient, member C121, with an ecological degree of compatibility equivalent to 0.0655, showed the most critical condition as far the production of carbon dioxide was concerned. In this study, for the sake of simplification, only a limited number of industries, regions, and pollutants have been studied. On increasing the number of members of the various sets namely sets of pollutants, industries and regions at different times, a larger range of parameters can be monitored, which will add to the accuracy of the results.

Aluminum, Carbon Dioxide, Zinc, Lead, Steel, Management, Fuzzy Logic