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The use of artificial neural network (ANN) for the prediction and simulation of oil degradation in wastewater by AOP

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Abstract

The application of advanced oxidation process (AOP) in the treatment of wastewater contaminated with oil was investigated in this study. The AOP investigated is the homogeneous photo-Fenton (UV/H2O2/Fe+2) process. The reaction is influenced by the input concentration of hydrogen peroxide H2O2, amount of the iron catalyst Fe+2, pH, temperature, irradiation time, and concentration of oil in the wastewater. The removal efficiency for the used system at the optimal operational parameters (H2O2 = 400 mg/L, Fe+2 = 40 mg/L, pH = 3, irradiation time = 150 min, and temperature = 30 °C) for 1,000 mg/L oil load was found to be 72 %. The study examined the implementation of artificial neural network (ANN) for the prediction and simulation of oil degradation in aqueous solution by photo-Fenton process. The multilayered feed-forward networks were trained by using a backpropagation algorithm; a three-layer network with 22 neurons in the hidden layer gave optimal results. The results show that the ANN model can predict the experimental results with high correlation coefficient (R 2 = 0.9949). The sensitivity analysis showed that all studied variables (H2O2, Fe+2, pH, irradiation time, temperature, and oil concentration) have strong effect on the oil degradation. The pH was found to be the most influential parameter with relative importance of 20.6 %.

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Acknowledgments

The authors are grateful to the Ministry of Environment in Iraq (MOE) for funding support. The authors also thank Dr. Al- Hemiri, University of Baghdad, for his valuable discussion on ANN model.

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Authors and Affiliations

  1. Department of Environmental Engineering, University of Baghdad, P.O. Box 47121, Jadria, Baghdad, Iraq

    Yasmen A. Mustafa, Ghydaa M. Jaid & Abeer I. Alwared

  2. Ministry of Environment, Baghdad, Iraq

    Mothana Ebrahim

Authors
  1. Yasmen A. Mustafa
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  2. Ghydaa M. Jaid
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  3. Abeer I. Alwared
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  4. Mothana Ebrahim
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Correspondence to Yasmen A. Mustafa.

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Responsible editor: Michael Matthies

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Mustafa, Y.A., Jaid, G.M., Alwared, A.I. et al. The use of artificial neural network (ANN) for the prediction and simulation of oil degradation in wastewater by AOP. Environ Sci Pollut Res 21, 7530–7537 (2014). https://doi.org/10.1007/s11356-014-2635-z

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  • DOI: https://doi.org/10.1007/s11356-014-2635-z

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