Title of article :
Air Quality Analysis by Using Fuzzy Inference System and Fuzzy C-mean Clustering in Tehran, Iran from 2009-2013
Author/Authors :
HAMEDIAN, Amir Abbas Dept. of Environmental Health Engineering - School of Public Health - International Branch Shahid Beheshti University of Medical Sciences, Tehran , JAVID, Allahbakhsh School of Public Health - Shahroud University of Medical Sciences, Shahroud , MOTESADDI ZARANDI, Saeed Dept. of Environmental Health Engineering - School of Public Health - International Branch Shahid Beheshti University of Medical Sciences, Tehran , RASHIDI, Yousef Environmental Sciences Research Institute - Shahid Beheshti University, Tehran , MAJLESI, Monireh Dept. of Environmental Health Engineering - School of Public Health - International Branch Shahid Beheshti University of Medical Sciences, Tehran
Abstract :
Background: Since the industrial revolution, the rate of industrialization and urbanization has increased dramatically. Regarding this issue, specific regions mostly located in developing countries have been confronted with serious problems, particularly environmental problems among which air pollution is of high importance.
Methods: Eleven parameters, including CO, SO2, PM10, PM2.5, O3, NO2, benzene, toluene, ethyl-benzene, xylene, and 1,3-butadiene, have been accounted over a period of two years (2011-2012) from five monitoring stations located at Tehran, Iran, were assessed by using fuzzy inference system and fuzzy c-mean clustering.
Results: These tools showed that the quality of criteria pollutants between the year 2011 and 2012 did not as much effect the public health as the other pollutants did.
Conclusion: Using the air EPA AQI, the quality of air, and also the managerial plans required to improve the quality can be misled.
Keywords :
Fuzzy c-mean clustering , Air quality , Fuzzy inference system , Iran
Journal title :
Astroparticle Physics
