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  • 标题:Air Quality Analysis by Using Fuzzy Inference System and Fuzzy C-mean Clustering in Tehran, Iran from 2009-2013
  • 其他标题:Air Quality Analysis by Using Fuzzy Inference System and Fuzzy C-mean Clustering in Tehran, Iran from 2009-2013
  • 本地全文:下载
  • 作者:Amir Abbas HAMEDIAN ; Allahbakhsh JAVID ; Saeed MOTESADDI ZARANDI
  • 期刊名称:Iranian Journal of Public Health
  • 印刷版ISSN:2251-6085
  • 电子版ISSN:2251-6093
  • 出版年度:2016
  • 卷号:45
  • 期号:7
  • 页码:917-925
  • 语种:English
  • 出版社:Tehran University of Medical Sciences
  • 摘要: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.
  • 关键词:Fuzzy c-mean clustering; Air quality; Fuzzy inference system; Iran
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