Modeling the performance of upflow anaerobic filters treating paper-mill wastewater using gene-expression programming

SEÇKİN G., YILMAZ T., Guven A., YÜCEER A., BAŞIBÜYÜK M., ERSÜ Ç. B.

ECOLOGICAL ENGINEERING, cilt.37, sa.3, ss.523-528, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 3
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.ecoleng.2010.12.002
  • Dergi Adı: ECOLOGICAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.523-528
  • Çukurova Üniversitesi Adresli: Evet

Özet

This study investigates the predictive ability of gene-expression programming (GEP) in the estimation of methane yield (Y-m) and effluent substrate (S-e) produced by two anaerobic filters. The modeling study was carried out using the data obtained from two upflow anaerobic filters - one mesophilic (35 degrees C) and one thermophilic (55 degrees C) - operated for the treatment of paper-mill wastewater under varying organic loadings. The GEP model was composed of three inputs, hydraulic retention time (T-hr), organic loading rate (R-ol), and influent substrate (S-i), and one output, either S-e or Y-m. The Stover-Kincannon model was also used for data analysis and to evaluate the prediction ability. Three statistical criteria, root mean square error (RMSE), determination coefficient (R-2), and Akaike's information criteria (AIC), were the means used for comparison. The results showed that the GEP approach predicted the performance of both anaerobic filters much better than the Stover-Kincannon model. Crown Copyright (C) 2010 Published by Elsevier B.V. All rights reserved.