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Journal of Earth System Science

, Volume 125, Issue 5, pp 997–1006 | Cite as

Forecasting ozone concentrations in the east of Croatia using nonparametric Neural Network Models

  • ELVIRA KOVAČ-ANDRIĆEmail author
  • ALAA SHETA
  • HOSSAM FARIS
  • MARTINA ŠRAJER GAJDOŠIK
Article

Abstract

Ozone is one of the most significant secondary pollutants with numerous negative effects on human health and environment including plants and vegetation. Therefore, more effort is made recently by governments and associations to predict ozone concentrations which could help in establishing better plans and regulation for environment protection. In this study, we use two Artificial Neural Network based approaches (MPL and RBF) to develop, for the first time, accurate ozone prediction models, one for urban and another one for rural area in the eastern part of Croatia. The evaluation of actual against the predicted ozone concentrations revealed that MLP and RBF models are very competitive for the training and testing data in the case of Kopački Rit area whereas in the case of Osijek city, MLP shows better evaluation results with 9% improvement in the correlation coefficient. Furthermore, subsequent feature selection process has improved the prediction power of RBF network.

Keywords

Ozone PM10 rural and urban area prediction models artificial neural networks 

Notes

Acknowledgements

The authors gratefully acknowledge the financial support given to the project by the Croatian Ministry of Science, Education and Sports. The authors also thank Meteorological and Hydrological Service of Croatia and the Ministry of Environmental and Nature Protection.

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Copyright information

© Indian Academy of Sciences 2016

Authors and Affiliations

  • ELVIRA KOVAČ-ANDRIĆ
    • 1
    Email author
  • ALAA SHETA
    • 2
  • HOSSAM FARIS
    • 3
  • MARTINA ŠRAJER GAJDOŠIK
    • 1
  1. 1.Department of ChemistryUniversity of J. J. StrossmayerOsijekCroatia
  2. 2.Computers and Systems DepartmentElectronics Research InstituteGizaEgypt
  3. 3.King Abdullah II School for Information TechnologyThe University of JordanAmmanJordan

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