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Environmental Science and Pollution Research

, Volume 26, Issue 11, pp 10941–10950 | Cite as

Prediction of O3 in the respiratory system of children using the artificial neural network model and with selection of input based on gamma test, Ahvaz, Iran

  • Zeinab Ghaedrahmat
  • Mehdi Vosoughi
  • Yaser Tahmasebi BirganiEmail author
  • Abdolkazem NeisiEmail author
  • Gholamreza Goudarzi
  • Afshin Takdastan
Research Article
  • 36 Downloads

Abstract

In recent years, concerns over the issue of air pollution have increased as one of the significant environmental and health problems. Air pollutants can be toxic or harmful to the life of plants, animals, and humans. Contrast to primary pollutants, ozone is a secondary pollutant that is produced by the reaction between primary precursors in the atmosphere. The average of air pollutant data was compiled for the purpose of analyzing their correlation with the pulmonary function of students and the FENO biomarker from the air pollutants of the Environmental Protection Agency. According to the average of 3 days, the concentration of ozone in the (S3) region was higher than the other regions, and this level was significantly different from the ANOVA test (p < 0.05). The results of artificial neural network modeling for three particular combinations in the cold season, two hidden layers with 9 and 12 neurons, with R2 = 0.859 and in the warm season, layer with 13 neurons, with R2 = 0.74, showed the best performance.

Keywords

O3 Gamma test ANN model Respiratory system Children Ahvaz 

Notes

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Zeinab Ghaedrahmat
    • 1
    • 2
  • Mehdi Vosoughi
    • 3
  • Yaser Tahmasebi Birgani
    • 1
    • 2
    Email author
  • Abdolkazem Neisi
    • 1
    • 2
    Email author
  • Gholamreza Goudarzi
    • 1
    • 2
  • Afshin Takdastan
    • 1
    • 2
  1. 1.Department of Environmental Health Engineering, Student Research Committee Ahvaz Jundishapur University of Medical SciencesAhvazIran
  2. 2.Environmental Technologies Research CenterAhvaz Jundishapur University of Medical SciencesAhvazIran
  3. 3.Department of Environmental Health Engineering, School of HealthArdabil University of Medical SciencesArdabilIran

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