What is it about?

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 had the most critical condition in producing carbon dioxide. However, in the same period in 2005, on considering the region coefficient, member C121 showed the most critical condition as far the production of carbon dioxide was concerned.

Featured Image

Why is it important?

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 ecologically compatible.

Read the Original

This page is a summary of: Management of Pollutants in Industries: A Case Study, Journal of Investment and Management, January 2015, Science Publishing Group,
DOI: 10.11648/j.jim.20150404.13.
You can read the full text:

Read

Contributors

The following have contributed to this page