Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
권호 표지
DOI QR코드

DOI QR Code

Development of Empirical and Statistical Models for Prediction of Water Quality of Pretreated Wastewater in Pulp and Paper Industry

제지공정 폐수 전처리 수질예측을 위한 실험적 모델과 통계적 모델 개발

  • Sohn, Jinsik (School of Civil and Environmental Engineering, Kookmin University) ;
  • Han, Jihee (School of Civil and Environmental Engineering, Kookmin University) ;
  • Lee, Sangho (School of Civil and Environmental Engineering, Kookmin University)
  • 손진식 (국민대학교 건설시스템공학부) ;
  • 한지희 (국민대학교 건설시스템공학부) ;
  • 이상호 (국민대학교 건설시스템공학부)
  • Received : 2017.06.08
  • Accepted : 2017.08.01
  • Published : 2017.08.29
Download PDF
⟨ Previous Next ⟩

Abstract

Pulp and paper industry produces large volumes of wastewater and residual sludge waste, resulting in many issues in relation to wastewater treatment and sludge disposal. Contaminants in pulp and paper wastewater include effluent solids, sediments, chemical oxygen demand (COD), and biological oxygen demand (BOD), which should be treated by wastewater treatment processes such as coagulation and biological treatment. However, few works have been attempted to predict the treatment efficiency of pulp and paper wastewater. Accordingly, this study presented empirical models based on experimental data in laboratory-scale coagulation tests and compared them with statistical models such as artificial neural network (ANN). Results showed that the water quality parameters such as turbidity, suspended solids, COD, and UVA can be predicted using either linear or expoential regression models. Nevertheless, the accuracies for turbidity and UVA predictions were relatively lower than those for SS and COD. On the other hand, ANN showed higher accuracies than the emprical models for all water parameters. However, it seems that two kinds of models should be used together to provide more accurate information on the treatment efficiency of pulp and paper wastewater.

Keywords

References

  1. Ashrafi, O., Yerushalmi, L., Haghighat, F. (2015) Wastewater treatment in the pulp-and-paper industry: A review of treatment processes and the associated greenhouse gas emission, J. Environ. Manage., 158, 146-157. https://doi.org/10.1016/j.jenvman.2015.05.010
  2. Chernoberezhskii, Y., Dyagileava, A.S., Barysheva, I.A. (1994) Coagulation treatment of wastewaters from paper and pulp plants, Russ. J. Appl. Chem., 67(3), 354-359.
  3. Cho, J.H. (2009) Environmental features and actions of pulp and paper industry, J. Korea TAPPI, 41(3), 13-21.
  4. Cho, J.H., Jeong, W.G., Kim, J.H. (1998) Study on Wastewater of Paper Mill for Coagulation Characteristics, J. For. Sci., 14(1), 101-111.
  5. Cho, J.H., Kang, M.R. (2008) Determination of the optimum flocculant mixing ratio for paper making wastewater treatment, J. Korea TAPPI, 40(1), 41-46.
  6. Ganjidoust, H., Tatsum, K., Yamagishi, T., Gholian, R.N. (1997) Effect of synthetic and natural coagulant on lignin removal from pulp and paper wastewater, Water Sci. Technol., 35, 291-296. https://doi.org/10.2166/wst.1997.0541
  7. Im, M.H., Lee, J.K., Nam, S.Y., Ahn, J.H. (2011) Technologies of recycle of pulp and paper sludge for sustainable treatment process in pulp and paper industry, Ceramist, 14(2), 7-14.
  8. Jaafarzadeh, N., Omidinasab, M., Ghanbari, F. (2016) Combined electrocoagulation and UV-based sulfate radical oxidation processes for treatment of pulp and paper wastewater, Process Saf. Environ. Prot., 102, 462-472 https://doi.org/10.1016/j.psep.2016.04.019
  9. Kamali, M., Khodaparast, Z. (2015) Review on recent developments on pulp and paper mill wastewater treatment, Ecotoxicol. Environ. Saf., 114, 326-342. https://doi.org/10.1016/j.ecoenv.2014.05.005
  10. Pokhrel, D., Viraraghavan, T. (2004) Treatment of pulp and paper mill wastewater: a review, Sci. Total Environ., 333, 1-3, 37-58. https://doi.org/10.1016/j.scitotenv.2004.05.017
  11. Toczylowska-Maminska, R. (2017) Limits and perspectives of pulp and paper industry wastewater treatment - A review, Renewable Sustainable Energy Rev., 78, 764-772. https://doi.org/10.1016/j.rser.2017.05.021