메뉴 건너뛰기




Volumn 93, Issue , 2015, Pages 111-123

Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

Author keywords

Multi layer perceptron; Municipal wastewater; Neural network modeling; Radial basis function; Sequencing batch reactor

Indexed keywords


EID: 84941874016     PISSN: 09575820     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.psep.2014.04.006     Document Type: Article
Times cited : (93)

References (62)
  • 1
    • 58249091983 scopus 로고    scopus 로고
    • A methodology for sequencing batch reactor identification with artificial neural networks: A case study
    • D. Aguado, J. Ribes, T. Montoya, J. Ferrer, and A. Seco A methodology for sequencing batch reactor identification with artificial neural networks: a case study Comput. Chem. Eng 33 2009 465 472
    • (2009) Comput. Chem. Eng , vol.33 , pp. 465-472
    • Aguado, D.1    Ribes, J.2    Montoya, T.3    Ferrer, J.4    Seco, A.5
  • 3
    • 79960192342 scopus 로고    scopus 로고
    • Powdered activated carbon augmented double react-settle sequencing batch reactor process for treatment of landfill leachate
    • S.Q. Aziz, H.A. Aziz, and M.S. Yusoff Powdered activated carbon augmented double react-settle sequencing batch reactor process for treatment of landfill leachate Desalination 277 2011 313 320
    • (2011) Desalination , vol.277 , pp. 313-320
    • Aziz, S.Q.1    Aziz, H.A.2    Yusoff, M.S.3
  • 4
    • 11244268523 scopus 로고    scopus 로고
    • Artificial neural network-based dynamic equivalents for distribution systems containing active sources
    • A.M. Azmy, I. Erlich, and P. Sowa Artificial neural network-based dynamic equivalents for distribution systems containing active sources IEE Proc. Gener. Trans. Distrib. 151 2004 681 688
    • (2004) IEE Proc. Gener. Trans. Distrib. , vol.151 , pp. 681-688
    • Azmy, A.M.1    Erlich, I.2    Sowa, P.3
  • 6
    • 33746379572 scopus 로고    scopus 로고
    • Set up and assessment of a control strategy in a SBR in order to enhance nitrogen and phosphorus removal
    • M. Casellas, C. Dagot, and M. Baudu Set up and assessment of a control strategy in a SBR in order to enhance nitrogen and phosphorus removal Process Biochem. 41 2006 1994 2001
    • (2006) Process Biochem. , vol.41 , pp. 1994-2001
    • Casellas, M.1    Dagot, C.2    Baudu, M.3
  • 7
    • 77953286570 scopus 로고    scopus 로고
    • Biological treatment of anaerobically digested palm oil mill effluent (POME) using a Lab-Scale Sequencing Batch Reactor (SBR)
    • Y.J. Chan, M.F. Chong, and C.L. Law Biological treatment of anaerobically digested palm oil mill effluent (POME) using a Lab-Scale Sequencing Batch Reactor (SBR) J. Environ. Manag. 91 2010 1738 1746
    • (2010) J. Environ. Manag. , vol.91 , pp. 1738-1746
    • Chan, Y.J.1    Chong, M.F.2    Law, C.L.3
  • 8
    • 83855160786 scopus 로고    scopus 로고
    • Sensitivity and uncertainty analyses of an extended ASM3-SMP model describing membrane bioreactor operation
    • L. Chen, Y. Tian, C. Cao, S. Zhang, and S. Zhang Sensitivity and uncertainty analyses of an extended ASM3-SMP model describing membrane bioreactor operation J. Membr. Sci. 389 2012 99 109
    • (2012) J. Membr. Sci. , vol.389 , pp. 99-109
    • Chen, L.1    Tian, Y.2    Cao, C.3    Zhang, S.4    Zhang, S.5
  • 10
    • 79551686263 scopus 로고    scopus 로고
    • Performances of SBR, chemical-DAF and UV disinfection for poultry slaughterhouse wastewater reclamation
    • I. De Nardi, V. Del Nery, A. Amorim, N. dos Santos, and F. Chimenes Performances of SBR, chemical-DAF and UV disinfection for poultry slaughterhouse wastewater reclamation Desalination 269 2011 184 189
    • (2011) Desalination , vol.269 , pp. 184-189
    • De Nardi, I.1    Del Nery, V.2    Amorim, A.3    Dos Santos, N.4    Chimenes, F.5
  • 11
    • 84874623087 scopus 로고    scopus 로고
    • Control of an ideal activated sludge process in wastewater treatment via an ODE-PDE model
    • S. Diehl, and S. Farås Control of an ideal activated sludge process in wastewater treatment via an ODE-PDE model J. Process Control 23 2013 359 381
    • (2013) J. Process Control , vol.23 , pp. 359-381
    • Diehl, S.1    Farås, S.2
  • 12
    • 80052029886 scopus 로고    scopus 로고
    • Combined photo-Fenton-SBR process for antibiotic wastewater treatment
    • E.S. Elmolla, and M. Chaudhuri Combined photo-Fenton-SBR process for antibiotic wastewater treatment J. Hazard. Mater. 192 2011 1418 1426
    • (2011) J. Hazard. Mater. , vol.192 , pp. 1418-1426
    • Elmolla, E.S.1    Chaudhuri, M.2
  • 14
    • 0034987032 scopus 로고    scopus 로고
    • Treatment of dyeing wastewater in two SBR systems
    • L.-y. Fu, X.-h. Wen, and Q.-l.L. Yi Qian Treatment of dyeing wastewater in two SBR systems Process Biochem. 36 2001 1111 1118
    • (2001) Process Biochem. , vol.36 , pp. 1111-1118
    • Fu, L.-Y.1    Wen, X.-H.2    Yi Qian, Q.-L.L.3
  • 16
    • 64349104747 scopus 로고    scopus 로고
    • Time-frequency analysis of beach bacteria variations and its implication for recreational water quality modeling
    • Z. Ge, and W.E. Frick Time-frequency analysis of beach bacteria variations and its implication for recreational water quality modeling Environ. Sci. Technol. 43 2009 1128 1133
    • (2009) Environ. Sci. Technol. , vol.43 , pp. 1128-1133
    • Ge, Z.1    Frick, W.E.2
  • 18
    • 84872356878 scopus 로고    scopus 로고
    • Extraction of Epigallocatechin-3-gallate from green tea via supercritical fluid technology: Neural network modeling and response surface optimization
    • S. Ghoreishi, and E. Heidari Extraction of Epigallocatechin-3-gallate from green tea via supercritical fluid technology: neural network modeling and response surface optimization J. Supercrit. Fluid. 74 2013 128 136
    • (2013) J. Supercrit. Fluid. , vol.74 , pp. 128-136
    • Ghoreishi, S.1    Heidari, E.2
  • 19
    • 18144421580 scopus 로고    scopus 로고
    • Prediction of parameters characterizing the state of a pollution removal biologic process
    • S. Grieu, A. Traoré, M. Polit, and J. Colprim Prediction of parameters characterizing the state of a pollution removal biologic process Eng. Appl. Artif. Intell. 18 2005 559 573
    • (2005) Eng. Appl. Artif. Intell. , vol.18 , pp. 559-573
    • Grieu, S.1    Traoré, A.2    Polit, M.3    Colprim, J.4
  • 20
    • 0032894554 scopus 로고    scopus 로고
    • Activated sludge model no 3
    • W. Gujer, M. Henze, T. Mino, and M.v. Loosdrecht Activated sludge model no 3 Water Sci. Technol. 39 1999 183 193
    • (1999) Water Sci. Technol. , vol.39 , pp. 183-193
    • Gujer, W.1    Henze, M.2    Mino, T.3
  • 21
    • 80052732816 scopus 로고    scopus 로고
    • Characteristics of nitrogen and phosphorus removal in a sequencing batch reactor
    • H. Guo, J. Zhou, S. Zhang, and Z. Guo Characteristics of nitrogen and phosphorus removal in a sequencing batch reactor J. Environ. Sci. 23 2011 S110 S113
    • (2011) J. Environ. Sci. , vol.23 , pp. S110-S113
    • Guo, H.1    Zhou, J.2    Zhang, S.3    Guo, Z.4
  • 22
    • 84892533018 scopus 로고    scopus 로고
    • An integrated treatment of domestic wastewater using sequencing batch biofilm reactor combined with vertical flow constructed wetland and its artificial neural network simulation study
    • Y.-M. Guo, Y.-G. Liu, G.-M. Zeng, X.-J. Hu, W.-H. Xu, Y.-Q. Liu, S.-M. Liu, H.-S. Sun, J. Ye, and H.-J. Huang An integrated treatment of domestic wastewater using sequencing batch biofilm reactor combined with vertical flow constructed wetland and its artificial neural network simulation study Ecol. Eng. 64 2014 18 26
    • (2014) Ecol. Eng. , vol.64 , pp. 18-26
    • Guo, Y.-M.1    Liu, Y.-G.2    Zeng, G.-M.3    Hu, X.-J.4    Xu, W.-H.5    Liu, Y.-Q.6    Liu, S.-M.7    Sun, H.-S.8    Ye, J.9    Huang, H.-J.10
  • 23
    • 78651232442 scopus 로고    scopus 로고
    • Effect of pH temperature and air flow rate on the continuous ammonia stripping of the anaerobic digestion effluent
    • S. Guštin, and R. Marinšek-Logar Effect of pH temperature and air flow rate on the continuous ammonia stripping of the anaerobic digestion effluent Process Saf. Environ. Prot. 89 2011 61 66
    • (2011) Process Saf. Environ. Prot. , vol.89 , pp. 61-66
    • Guštin, S.1    Marinšek-Logar, R.2
  • 24
    • 3342965223 scopus 로고    scopus 로고
    • Prediction of wastewater treatment plant performance using artificial neural networks
    • M.M. Hamed, M.G. Khalafallah, and E.A. Hassanien Prediction of wastewater treatment plant performance using artificial neural networks Environ. Model. Softw. 19 2004 919 928
    • (2004) Environ. Model. Softw. , vol.19 , pp. 919-928
    • Hamed, M.M.1    Khalafallah, M.G.2    Hassanien, E.A.3
  • 25
    • 0032727764 scopus 로고    scopus 로고
    • Integrated wastewater treatment plant performance evaluation using artificial neural networks
    • M.F. Hamoda, I.A. Al-Ghusain, and A.H. Hassan Integrated wastewater treatment plant performance evaluation using artificial neural networks Water Sci. Technol. 40 1999 55 65
    • (1999) Water Sci. Technol. , vol.40 , pp. 55-65
    • Hamoda, M.F.1    Al-Ghusain, I.A.2    Hassan, A.H.3
  • 26
    • 0023341639 scopus 로고
    • A general model for single-sludge wastewater treatment systems
    • M. Henze, C. Grady, W. Gujer, G. Marais, and T. Matsuo A general model for single-sludge wastewater treatment systems Water Res. 21 1987 505 515
    • (1987) Water Res. , vol.21 , pp. 505-515
    • Henze, M.1    Grady, C.2    Gujer, W.3    Marais, G.4    Matsuo, T.5
  • 27
    • 0029042067 scopus 로고
    • Wastewater and biomass characterization for the activated sludge model no 2: Biological phosphorus removal
    • M. Henze, W. Gujer, T. Mino, T. Matsuo, M. Wentzel, and G. Marais Wastewater and biomass characterization for the activated sludge model no 2: biological phosphorus removal Water Sci. Technol. 31 1995 13 23
    • (1995) Water Sci. Technol. , vol.31 , pp. 13-23
    • Henze, M.1    Gujer, W.2    Mino, T.3    Matsuo, T.4    Wentzel, M.5    Marais, G.6
  • 28
    • 34249743593 scopus 로고    scopus 로고
    • Monitoring of sequencing batch reactor for nitrogen and phosphorus removal using neural networks
    • S.H. Hong, M.W. Lee, D.S. Lee, and J.M. Park Monitoring of sequencing batch reactor for nitrogen and phosphorus removal using neural networks Biochem. Eng. J. 35 2007 365 370
    • (2007) Biochem. Eng. J. , vol.35 , pp. 365-370
    • Hong, S.H.1    Lee, M.W.2    Lee, D.S.3    Park, J.M.4
  • 29
    • 0037399368 scopus 로고    scopus 로고
    • Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis
    • Y.-S.T. Hong, M.R. Rosen, and R. Bhamidimarri Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis Water Res. 37 2003 1608 1618
    • (2003) Water Res. , vol.37 , pp. 1608-1618
    • Hong, Y.-S.T.1    Rosen, M.R.2    Bhamidimarri, R.3
  • 30
    • 58149154660 scopus 로고    scopus 로고
    • Modeling of wheat soaking using two artificial neural networks (MLP and RBF)
    • M. Kashaninejad, A. Dehghani, and M. Kashiri Modeling of wheat soaking using two artificial neural networks (MLP and RBF) J. Food Eng. 91 2009 602 607
    • (2009) J. Food Eng. , vol.91 , pp. 602-607
    • Kashaninejad, M.1    Dehghani, A.2    Kashiri, M.3
  • 31
    • 70449528756 scopus 로고    scopus 로고
    • Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm
    • C.-M. Lee, and C.-N. Ko Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm Neurocomputing 73 2009 449 460
    • (2009) Neurocomputing , vol.73 , pp. 449-460
    • Lee, C.-M.1    Ko, C.-N.2
  • 32
    • 0037509217 scopus 로고    scopus 로고
    • Neural network modeling for on-line estimation of nutrient dynamics in a sequentially-operated batch reactor
    • D.S. Lee, and J.M. Park Neural network modeling for on-line estimation of nutrient dynamics in a sequentially-operated batch reactor J. Biotechnol. 75 1999 229 239
    • (1999) J. Biotechnol. , vol.75 , pp. 229-239
    • Lee, D.S.1    Park, J.M.2
  • 33
    • 84860744526 scopus 로고    scopus 로고
    • Biohydrogen production using waste activated sludge as a substrate from fructose-processing wastewater treatment
    • Y.-H. Lin, H.-X. Zheng, and M.-L. Juan Biohydrogen production using waste activated sludge as a substrate from fructose-processing wastewater treatment Process Saf. Environ. Prot. 90 2012 221 230
    • (2012) Process Saf. Environ. Prot. , vol.90 , pp. 221-230
    • Lin, Y.-H.1    Zheng, H.-X.2    Juan, M.-L.3
  • 35
    • 75149198666 scopus 로고    scopus 로고
    • Formal verification of wastewater treatment processes using events detected from continuous signals by means of artificial neural networks. Case study: SBR plant
    • L. Luccarini, G.L. Bragadin, G. Colombini, M. Mancini, P. Mello, M. Montali, and D. Sottara Formal verification of wastewater treatment processes using events detected from continuous signals by means of artificial neural networks. Case study: SBR plant Environ. Model. Softw. 25 2010 648 660
    • (2010) Environ. Model. Softw. , vol.25 , pp. 648-660
    • Luccarini, L.1    Bragadin, G.L.2    Colombini, G.3    Mancini, M.4    Mello, P.5    Montali, M.6    Sottara, D.7
  • 36
    • 0037073293 scopus 로고    scopus 로고
    • Utilization of SBR technology for wastewater treatment: An overview
    • S. Mace, and J. Mata-Alvarez Utilization of SBR technology for wastewater treatment: an overview Ind. Eng. Chem. Res. 41 2002 5539 5553
    • (2002) Ind. Eng. Chem. Res. , vol.41 , pp. 5539-5553
    • Mace, S.1    Mata-Alvarez, J.2
  • 37
    • 56549096357 scopus 로고    scopus 로고
    • Sequencing batch reactor: A promising technology in wastewater treatment
    • A. Mahvi Sequencing batch reactor: a promising technology in wastewater treatment Iran. J. Environ. Health Sci. Eng. 2008 5
    • (2008) Iran. J. Environ. Health Sci. Eng. , pp. 5
    • Mahvi, A.1
  • 38
    • 84860172563 scopus 로고    scopus 로고
    • Uncertainty assessment of a model for biological nitrogen and phosphorus removal: Application to a large wastewater treatment plant
    • G. Mannina, A. Cosenza, and G. Viviani Uncertainty assessment of a model for biological nitrogen and phosphorus removal: application to a large wastewater treatment plant Phys. Chem. Earth A/B/C 42 2012 61 69
    • (2012) Phys. Chem. Earth A/B/C , vol.42 , pp. 61-69
    • Mannina, G.1    Cosenza, A.2    Viviani, G.3
  • 40
    • 33846897687 scopus 로고    scopus 로고
    • Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance
    • F.S. Mjalli, S. Al-Asheh, and H. Alfadala Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance J. Environ. Manag. 83 2007 329 338
    • (2007) J. Environ. Manag. , vol.83 , pp. 329-338
    • Mjalli, F.S.1    Al-Asheh, S.2    Alfadala, H.3
  • 41
    • 47849094032 scopus 로고    scopus 로고
    • Modeling of the activated sludge process by using artificial neural networks with automated architecture screening
    • H. Moral, A. Aksoy, and C.F. Gokcay Modeling of the activated sludge process by using artificial neural networks with automated architecture screening Comput. Chem. Eng. 32 2008 2471 2478
    • (2008) Comput. Chem. Eng. , vol.32 , pp. 2471-2478
    • Moral, H.1    Aksoy, A.2    Gokcay, C.F.3
  • 42
    • 29244437885 scopus 로고    scopus 로고
    • MLP/RBF neural-networks-based online global model identification of synchronous generator
    • J.-W. Park, G.K. Venayagamoorthy, and R.G. Harley MLP/RBF neural-networks-based online global model identification of synchronous generator IEEE Trans. Ind. Electron. 52 2005 1685 1695
    • (2005) IEEE Trans. Ind. Electron. , vol.52 , pp. 1685-1695
    • Park, J.-W.1    Venayagamoorthy, G.K.2    Harley, R.G.3
  • 44
    • 78650824817 scopus 로고    scopus 로고
    • Monitoring the removal of nitrogen by applying a nitrification-denitrification process in a sequencing batch reactor (SBR)
    • D.C. Rodríguez, N. Pino, and G. Peñuela Monitoring the removal of nitrogen by applying a nitrification-denitrification process in a sequencing batch reactor (SBR) Bioresour. Technol. 102 2011 2316 2321
    • (2011) Bioresour. Technol. , vol.102 , pp. 2316-2321
    • Rodríguez, D.C.1    Pino, N.2    Peñuela, G.3
  • 45
    • 33747889741 scopus 로고    scopus 로고
    • Predicting flux decline in crossflow membranes using artificial neural networks and genetic algorithms
    • G.B. Sahoo, and C. Ray Predicting flux decline in crossflow membranes using artificial neural networks and genetic algorithms J. Membr. Sci. 283 2006 147 157
    • (2006) J. Membr. Sci. , vol.283 , pp. 147-157
    • Sahoo, G.B.1    Ray, C.2
  • 47
    • 62049083650 scopus 로고    scopus 로고
    • Biocoagulation of dairy wastewater by Lactobacillus casei TISTR 1500 for protein recovery using micro-aerobic sequencing batch reactor (micro-aerobic SBR)
    • P. Seesuriyachan, A. Kuntiya, K. Sasaki, and C. Techapun Biocoagulation of dairy wastewater by Lactobacillus casei TISTR 1500 for protein recovery using micro-aerobic sequencing batch reactor (micro-aerobic SBR) Process Biochem. 44 2009 406 411
    • (2009) Process Biochem. , vol.44 , pp. 406-411
    • Seesuriyachan, P.1    Kuntiya, A.2    Sasaki, K.3    Techapun, C.4
  • 48
    • 34249723766 scopus 로고    scopus 로고
    • The use of artificial neural networks in materials science based research
    • W. Sha, and K. Edwards The use of artificial neural networks in materials science based research Mater. Des. 28 2007 1747 1752
    • (2007) Mater. Des. , vol.28 , pp. 1747-1752
    • Sha, W.1    Edwards, K.2
  • 49
    • 70450128099 scopus 로고    scopus 로고
    • C3H8 separation from CH4 and H2 using a synthesized PDMS membrane: Experimental and neural network modeling
    • M. Shokrian, M. Sadrzadeh, and T. Mohammadi C3H8 separation from CH4 and H2 using a synthesized PDMS membrane: experimental and neural network modeling J. Membr. Sci. 346 2010 59 70
    • (2010) J. Membr. Sci. , vol.346 , pp. 59-70
    • Shokrian, M.1    Sadrzadeh, M.2    Mohammadi, T.3
  • 50
    • 84855825466 scopus 로고    scopus 로고
    • Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India
    • A. Singh, M. Imtiyaz, R. Isaac, and D. Denis Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India Agric. Water Manag. 104 2012 113 120
    • (2012) Agric. Water Manag. , vol.104 , pp. 113-120
    • Singh, A.1    Imtiyaz, M.2    Isaac, R.3    Denis, D.4
  • 51
    • 0037002454 scopus 로고    scopus 로고
    • Online identification of turbogenerators in a multimachine power system using RBF neural networks
    • S. Singh, and G. Venayagamoorthy Online identification of turbogenerators in a multimachine power system using RBF neural networks Artificial Neural Networks in Engineering Conference 2002 485 490
    • (2002) Artificial Neural Networks in Engineering Conference , pp. 485-490
    • Singh, S.1    Venayagamoorthy, G.2
  • 52
    • 31544470609 scopus 로고    scopus 로고
    • The recognition of similarities in trace elements content in medicinal plants using MLP and RBF neural networks
    • B. Suchacz, and M. Wesołowski The recognition of similarities in trace elements content in medicinal plants using MLP and RBF neural networks Talanta 69 2006 37 42
    • (2006) Talanta , vol.69 , pp. 37-42
    • Suchacz, B.1    Wesołowski, M.2
  • 53
    • 0030290697 scopus 로고    scopus 로고
    • The effect of halide ions on the performance of a sequencing batch reactor
    • R. Tawamba, and C. Forster The effect of halide ions on the performance of a sequencing batch reactor Process Saf. Environ. Prot. 74 1996 259 264
    • (1996) Process Saf. Environ. Prot. , vol.74 , pp. 259-264
    • Tawamba, R.1    Forster, C.2
  • 56
    • 34249776914 scopus 로고    scopus 로고
    • Online design of an echo state network based wide area monitor for a multimachine power system
    • G.K. Venayagamoorthy Online design of an echo state network based wide area monitor for a multimachine power system Neural Netw. 20 2007 404 413
    • (2007) Neural Netw. , vol.20 , pp. 404-413
    • Venayagamoorthy, G.K.1
  • 57
    • 39649084649 scopus 로고    scopus 로고
    • Adaptive RBF network for parameter estimation and stable air-fuel ratio control
    • S. Wang, and D. Yu Adaptive RBF network for parameter estimation and stable air-fuel ratio control Neural Netw. 21 2008 102 112
    • (2008) Neural Netw. , vol.21 , pp. 102-112
    • Wang, S.1    Yu, D.2
  • 58
    • 79952578912 scopus 로고    scopus 로고
    • Treatment and remediation of a wastewater lagoon using microelectrolysis and modified DAT/IAT methods
    • Q. Wu, T. Hua, and Q. Zhou Treatment and remediation of a wastewater lagoon using microelectrolysis and modified DAT/IAT methods J. Environ. Sci. 23 2011 388 395
    • (2011) J. Environ. Sci. , vol.23 , pp. 388-395
    • Wu, Q.1    Hua, T.2    Zhou, Q.3
  • 59
    • 79952574349 scopus 로고    scopus 로고
    • Transformation of pollutants in landfill leachate treated by a combined sequence batch reactor coagulation, Fenton oxidation and biological aerated filter technology
    • Y. Wu, S. Zhou, X. Ye, D. Chen, K. Zheng, and F. Qin Transformation of pollutants in landfill leachate treated by a combined sequence batch reactor coagulation, Fenton oxidation and biological aerated filter technology Process Saf. Environ. Prot. 89 2011 112 120
    • (2011) Process Saf. Environ. Prot. , vol.89 , pp. 112-120
    • Wu, Y.1    Zhou, S.2    Ye, X.3    Chen, D.4    Zheng, K.5    Qin, F.6
  • 60
    • 79952620955 scopus 로고    scopus 로고
    • Study of dead-end microfiltration features in sequencing batch reactor (SBR) by optimized neural networks
    • X. Xi, Y. Cui, Z. Wang, J. Qian, J. Wang, L. Yang, and S. Zhao Study of dead-end microfiltration features in sequencing batch reactor (SBR) by optimized neural networks Desalination 272 2011 27 35
    • (2011) Desalination , vol.272 , pp. 27-35
    • Xi, X.1    Cui, Y.2    Wang, Z.3    Qian, J.4    Wang, J.5    Yang, L.6    Zhao, S.7
  • 61
    • 79960358195 scopus 로고    scopus 로고
    • Modification of nitrifying biofilm into nitritating one by combination of increased free ammonia concentrations, lowered HRT and dissolved oxygen concentration
    • I. Zekker, E. Rikmann, T. Tenno, A. Menert, V. Lemmiksoo, A. Saluste, T. Tenno, and M. Tomingas Modification of nitrifying biofilm into nitritating one by combination of increased free ammonia concentrations, lowered HRT and dissolved oxygen concentration J. Environ. Sci. 23 2011 1113 1121
    • (2011) J. Environ. Sci. , vol.23 , pp. 1113-1121
    • Zekker, I.1    Rikmann, E.2    Tenno, T.3    Menert, A.4    Lemmiksoo, V.5    Saluste, A.6    Tenno, T.7    Tomingas, M.8
  • 62
    • 84864364053 scopus 로고    scopus 로고
    • Respirometric activity of activated sludge in sequencing batch reactor depending on substrate and dissolved oxygen concentration
    • M. Zielinska, K. Bernat, A. Cydzik-Kwiatkowska, and I. Wojnowska-Baryla Respirometric activity of activated sludge in sequencing batch reactor depending on substrate and dissolved oxygen concentration Environ. Prot. Eng. 38 2012 41 49
    • (2012) Environ. Prot. Eng. , vol.38 , pp. 41-49
    • Zielinska, M.1    Bernat, K.2    Cydzik-Kwiatkowska, A.3    Wojnowska-Baryla, I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.