Weighting and Prioritizing of Air Pollutant Filtration Technologies for Controlling NH3, PM and VOCs by Fuzzy TOPSIS Method

• Main Authors: Parvin Moridi, Farideh Atabi, Jafar Nouri
• Format: Article
• Language: fas
• Published: Iran University of Medical Sciences 2015-11-01
• Series: Salāmat-i kār-i Īrān
• Subjects: key words: filtration technology; fuzzy topsis method; air pollutant; particulate matter; plasma chemical
• Online Access: http://ioh.iums.ac.ir/article-1-1416-en.html

Background and aims: Air pollution is one of the most important factors in conflict with environmental quality in many cities around the world that can have negative effects on human health. Emission control from industrial and domestic sources in line with the objectives of sustainable development is an important and challenging problem. Decision making with regard to various indices of social, economic, and operational, is complicated. The aim of the present study are weighting , prioritization and selection of appropriate filtration technology with consideration of technical aspects, economic, high performance and low uncertainty.  Methods: In this study a fuzzy TOPSIS method was used for weighting and ranking of air pollutant filtration technologies. Five research criteria were included: efficiency, cost, maintenance, design and size. This five criteria were considered for ranking of air pollutant filtration technologies related toNH3, PM, and VOCs.  Results: According to the results HEPA filters with coefficient of 0.923 were identified as the most appropriate filtration technology for the particles in the petrochemical industry. Chemical absorption with coefficient of 867/0 for controlling particulate matter and plasma chemical technology with coefficient of 9586/0 for controlling VOCs were identified as the best technology.  Conclusion: TOPSIS is one of the most reliable scientific and managerial methods of decision-making. In this study selecting the appropriate filtration technology for air pollutants including NH3, PPM, VOCs was addressed by using TOPSIS fuzzy method.