References

  1. A.J. Kang, A.K. Brown., C.S. Wong, Z. Huang, Q. Yuan, Variation in bacterial community structure of aerobic granular and suspended activated sludge in the presence of the antibiotic sulfamethoxazole, Bioresour. Technol., 261 (2018) 322–328.
  2. Y. Zhao, J. Huang, H. Zhao, H. Yang, Microbial community and N removal of aerobic granular sludge at high COD and N loading rates, Bioresour. Technol., 143 (2013) 139–446.
  3. M. Gao, M.-H. Biao, S. Yuan, Y.-K. Wang, H. Xu, X.-H. Wang, Effect of phenol on physicochemical properties and treatment performances of partial nitrifying granules in sequencing batch reactors, Biotechnol. Rep., 13 (2017) 13–18.
  4. Y. Zhang, J.H. Tay, Alternated phenol and trichloroethylene biodegradation in an aerobic granular sludge reactor, Biochem. Eng. J., 106 (2016) 1–10.
  5. C.L. Amorim, I.S. Moreira, A.R. Ribeiro, L.H.M.L.M. Santos, C. Delerue-Matos, M.E. Tiritan, P.M.L. Castro, Treatment of a simulated wastewater amended with chiral pharmaceuticals mixture by an aerobic granular sludge sequencing batch reactor, Int. Biodeterior. Biodegrad., 115 (2016) 277–285.
  6. S. Lamichhane, K.C. Krishna, R. Sarukkalige, Polycyclic aromatic hydrocarbons (PAHs) removal by sorption: a review, Chemosphere, 148 (2016) 336–353.
  7. A.S. Oberoi, L. Philip, Performance evaluation of attached biofilm reactors for the treatment of wastewater contaminated with aromatic hydrocarbons and phenolic compounds, J. Environ. Chem. Eng., 5 (2017) 3852–3864.
  8. X.W. Wang, B.D. Xi, S.L. Huo, W.J. Sun, H.W. Pan, J.T. Zhang, Characterization, treatment and releases of PBDEs and PAHs in a typical municipal sewage treatment plant situated beside an urban river, East China, J. Environ. Sci., 25 (2013) 1281–1290.
  9. M. Włodarczyk-Makuła, Simultaneous oxidation and adsorption of PAH in effluents from industrial treatment plant, Desal. Wat. Treat., 117 (2018) 329–339.
  10. Z. Zhao, Y. Lou, Y. Chen, H. Lin, R. Li, G. Yu, Prediction of interfacial interactions related with membrane fouling in a membrane bioreactor based on radial basis function artificial neural network (ANN), Bioresour. Technol., 282 (2019) 262–268.
  11. H. Gong, R. Pishgar, J.H. Tay, Artificial neural network modeling for organic and total nitrogen removal of aerobic granulation under steady-state condition, Environ. Technol., 1 (2018) 1–16.
  12. H. Sun, X. Song, T. Ye, J. Hu, H. Hong, J. Chen, H. Lin, H. Yu, Formation of disinfection byproducts during chlorination of organic matter from phoenix tree leaves and Chlorella vulgaris Environ. Pollut., 243 (2018) 1887–1893.
  13. P. Ofman, J. Struk-Sokołowska, Artificial neural network (ANN) approach to modelling of selected nitrogen forms removal from oily wastewater in anaerobic and aerobic GSBR Process Phases, Water, 11 (2019) 1594.
  14. P. Ofman, I. Skoczko, PAH removal effectiveness comparison from hydraulic fracturing model wastewater in SBR reactors with granular and flocked activated sludge, Desal. Wat. Treat., 134 (2018) 41–51.
  15. I. Skoczko, P. Ofman, E. Szatyłowicz, Using artificial neural networks for modeling wastewater treatment in small wastewater treatment plant, Annual Set Environ. Protect., 18 (2016) 493–506.
  16. I. Skoczko, J. Struk-Sokołowska, P. Ofman, Modelling changes in the parameters of treated sewage using artificial neural networks, Annual Set Environ. Protect., 19 (2017) 633–650.
  17. L. Wang, X. Liu, D.-J. Lee, J.-H. Tay, Y. Zhang, C.-L. Wan, X.-F. Chen, Recent advances on biosorption by aerobic granular sludge, J. Hazard. Mater., 357 (2018) 253–270.
  18. A.M. Maszenan, Y. Liu, W.J. Ng, Bioremediation of wastewaters with recalcitrant organic compounds and metals by aerobic granules, Biotechnol. Adv., 29 (2011) 111–123.
  19. S.J. Samara, J.H. Tay, Aerobic granulation for future wastewater treatment technology: challenges ahead, Environ. Sci. Water Res. Technol., 4 (2018) 9–15.
  20. S.L.S. Rollemberg, A.R.M. Barros, P.I.M. Firmino, A.B. Santos, Aerobic granular sludge: cultivation parameters and removal mechanisms, Bioresour. Technol., 270 (2018) 678–688.
  21. J.E. Beaten, D.J. Batstone, O.J. Schraa, M.C.M. van Loosdrecht, E.I.P. Volcke, Modelling anaerobic, aerobic and partial nitritation-anammox granular sludge reactors- a review, Water Res., 149 (2019) 322–341.
  22. S.F. Corsino, D. di Trapani, M. Torregrossa, G. Viviani, Aerobic granular sludge treating high strength citrus wastewater: analysis of pH and organic loading rate effect on kinetics, performance and stability, J. Environ. Manage., 214 (2018) 23–35.
  23. X. Zhao, Z. Chen, J. Shen, X. Wang, Performance of aerobic granular sludge in different bioreactors, Environ. Technol., 35 (2014) 938–944.
  24. Z. Baalbaki, E. Torfs, V. Yargeau, P.A. Vanrolleghem, Predicting the fate of micropollutants during wastewater treatment: calibration and sensitivity analysis, Sci. Total Environ., 601–602 (2017) 874–885.
  25. M. Włodarczyk-Makuła, A. Popenda, Quantitative Changes of PAHs in Water and in Wastewater During Treatment Processes, Wastewater Treatment: Occurrence and Fate of Polycyclic Aromatic Hydrocarbons (PAHs), Taylor & Francis Group, Vol. 1, 2015, pp. 47–70.
  26. M. Pomiés, J.-M. Choubert, C. Wisniewski, M. Coquery, Modelling of micropollutant removal in biological wastewater treatments: a review, Sci. Total Environ., 443 (2013) 733–748.
  27. N. Bekkari, A. Zeddouri, Using artificial neural network for predicting and controlling the effluent chemical oxygen demand in wastewater treatment plant, Manage. Environ. Qual. Int. J., 30 (2019) 593–608.
  28. S. Fuentes, V. Méndez, P. Aguila, M. Seeger, Bioremediation of petroleum hydrocarbons: catabolic genes, microbial communities and applications, Appl. Microbiol. Biotechnol., 98 (2014) 4781–4794.
  29. A. Pugazhendi, H. Qari, J.M.A.B. Basahi, J.J. Godon, J. Dhavamani, Role of a halothermophilic bacterial consortium for the biodegradation of PAHs and the treatment of petroleum wastewater at extreme conditions, Int. Biodeterior. Biodegrad., 121 (2017) 44–45.
  30. B.M. Wilén, R. Liébana, F. Persson, O. Modin, M. Hermansson, The mechanisms of granulation of activated sludge in wastewater treatment, its optimization, and impact on effluent quality, Appl. Microbiol. Biotechnol., 100 (2018) 1–16.
  31. D. Wu, Z. Zhang, Z. Yu, L. Zhu, Optimization of F/M ratio for stability of aerobic granular process via quantitative sludge discharge, Bioresour. Technol., 252 (2018) 150–165.
  32. Y.Q. Liu, X. Zhang, R. Zhang, W.T. Liu, J.H. Tay, Effects of hydraulic retention time on aerobic granulation and granule growth kinetics at steady state with a fast start- up strategy, Appl. Microbiol. Biotechnol., 100 (2016) 469–477.
  33. M.S. Zaghloul, R.A. Hamaza, O.T. Iorhemen, J.H. Tay, Performance prediction of an aerobic granular SBR using modular multilayer artificial neural networks, Sci. Total Environ., 645(2018) 449–459.