Air Quality Analysis by Using Fuzzy Inference System and Fuzzy C-mean Clustering in Tehran, Iran from 2009-2013
<p><strong>Background:</strong> 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 environ...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2016-08-01
|
| Series: | Iranian Journal of Public Health |
| Online Access: | http://ijph.tums.ac.ir/index.php/ijph/article/view/7325 |
| Summary: | <p><strong>Background:</strong> 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.</p><p><strong>Methods:</strong> Eleven parameters, including CO, SO<sub>2</sub>, PM<sub>10</sub>, PM<sub>2.5</sub>, O<sub>3</sub>, NO<sub>2</sub>, 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.</p><p><strong>Results:</strong> 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.</p><p><strong>Conclusion:</strong> Using the air EPA AQI, the quality of air, and also the managerial plans required to improve the quality can be misled.</p><p><strong> </strong></p><p><strong>Keywords:</strong> Fuzzy c-mean clustering, Air quality, Fuzzy inference system, Iran<strong></strong></p> |
|---|---|
| ISSN: | 2251-6085 2251-6093 |