3-Chlorophenol Biodegradation in a Sequencing Batch Reactor: Kinetic Study and Effect of the Filling Time

2010 ◽  
Vol 212 (1-4) ◽  
pp. 219-229 ◽  
Author(s):  
Agostina Chiavola ◽  
Renato Baciocchi ◽  
Federico Barducci
Keyword(s):  
Kinetic Study ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Filling Time ◽  
Reactor Kinetic

4-nitrophenol biodegradation in a sequencing batch reactor: kinetic study and effect of filling time

2004 ◽  
Vol 38 (2) ◽  
pp. 375-384 ◽  
Author(s):  
M.Concetta Tomei ◽  
M.Cristina Annesini ◽  
S Bussoletti
Keyword(s):  
Kinetic Study ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Filling Time ◽  
Reactor Kinetic

Simultaneous oxidation of ammonium and cresol isomers in a sequencing batch reactor: physiological and kinetic study

2016 ◽  
Vol 24 (33) ◽  
pp. 25667-25675 ◽  
Author(s):  
Juan Antonio Salas-Cortés ◽  
Flor de María Cuervo-López ◽  
Anne-Claire Texier
Keyword(s):  
Kinetic Study ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Simultaneous Oxidation

scholarly journals MODELING OF MIXED LIQUOR VOLATILE SUSPENDED SOLIDS AND PERFORMANCE EVALUATION FOR A SEQUENCING BATCH REACTOR

2015 ◽  
Vol 9 (1) ◽  
pp. 54-65
Author(s):  
Sayed Ahmad Mirbagheri ◽  
Majid Bagheri ◽  
Majid Ehteshami ◽  
Zahra Bagheri ◽  
Masoud Pourasghar
Keyword(s):  
Experimental Data ◽  
Retention Time ◽  
Sequencing Batch Reactor ◽  
Municipal Wastewater ◽  
Batch Reactor ◽  
Yield Coefficient ◽  
Cell Retention ◽  
Aeration Time ◽  
Test Models ◽  
Filling Time

This study examined carbon, nitrogen and phosphorous removal from municipal wastewater in a sequencing batch reactor and biokinetic coefficients were evaluated according to results of BOD and COD. Furthermore, the MLVSS in the aeration reactor was modeled by using multilayer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). The experiments were performed so that the cell retention time, filling time and intensity of aeration were (5, 10 and 15 d), (1, 2 and 3 h) and (weak, medium and strong) respectively. The result indicated that with cell retention time of 15 d, filling time of 1 h, aeration time of 6 h and settling time of 3 h the HRT is optimized at 10 h. The BOD5, COD, TP, TN and removal efficiencies were 97.13%, 94.58%, 94.27%, 89.7% and 92.75% respectively. The yield coefficient (Y), decay coefficient (Kd), maximum specific growth rate (K) and saturation constant (Ks) were 6.22 mgVSS/mgCOD, 0.002 1/d, 0.029 1/d and 20 mg COD/L according to COD experimental data. The values of the biokinetic coefficients were found to be as follows: Y = 10.45 mgVSS/mgBOD, Kd = 0.01 1/d, 0.014 1/d and 3.38 mgBOD/L according to BOD5 experimental data. The training procedures for simulation of MLVSS were highly collaborated for both RBFANN and MLPANN. The train and test models for both MLPANN and RBFANN demonstrated perfectly matched results between the experimental and the simulated values of MLVSS. The values of RMSE for train and test (verification) models obtained by MLPANN were 31.82 and 40.25 mg/L respectively, and the value of R2 was 0.99 for both models. The values of RMSE for train and test models obtained by MLPANN were 69.04 and 43.87 mg/L respectively, and the value of R2 was 0.99 for both models. It was observed that the MLPANN has stronger approximation and generalization ability than the RBFANN with regard to our experimental data for MLVSS.

scholarly journals MODELING OF MIXED LIQUOR VOLATILE SUSPENDED SOLIDS AND PERFORMANCE EVALUATION FOR A SEQUENCING BATCH REACTOR

2015 ◽  
Vol 9 (1) ◽  
pp. 54-65 ◽  
Author(s):  
Sayed Ahmad Mirbagheri ◽  
Majid Bagheri ◽  
Majid Ehteshami ◽  
Zahra Bagheri ◽  
Masoud Pourasghar
Keyword(s):  
Experimental Data ◽  
Retention Time ◽  
Sequencing Batch Reactor ◽  
Municipal Wastewater ◽  
Batch Reactor ◽  
Yield Coefficient ◽  
Cell Retention ◽  
Aeration Time ◽  
Test Models ◽  
Filling Time

This study examined carbon, nitrogen and phosphorous removal from municipal wastewater in a sequencing batch reactor and biokinetic coefficients were evaluated according to results of BOD and COD. Furthermore, the MLVSS in the aeration reactor was modeled by using multilayer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). The experiments were performed so that the cell retention time, filling time and intensity of aeration were (5, 10 and 15 d), (1, 2 and 3 h) and (weak, medium and strong) respectively. The result indicated that with cell retention time of 15 d, filling time of 1 h, aeration time of 6 h and settling time of 3 h the HRT is optimized at 10 h. The BOD5, COD, TP, TN and removal efficiencies were 97.13%, 94.58%, 94.27%, 89.7% and 92.75% respectively. The yield coefficient (Y), decay coefficient (Kd), maximum specific growth rate (K) and saturation constant (Ks) were 6.22 mgVSS/mgCOD, 0.002 1/d, 0.029 1/d and 20 mg COD/L according to COD experimental data. The values of the biokinetic coefficients were found to be as follows: Y = 10.45 mgVSS/mgBOD, Kd = 0.01 1/d, 0.014 1/d and 3.38 mgBOD/L according to BOD5 experimental data. The training procedures for simulation of MLVSS were highly collaborated for both RBFANN and MLPANN. The train and test models for both MLPANN and RBFANN demonstrated perfectly matched results between the experimental and the simulated values of MLVSS. The values of RMSE for train and test (verification) models obtained by MLPANN were 31.82 and 40.25 mg/L respectively, and the value of R2 was 0.99 for both models. The values of RMSE for train and test models obtained by MLPANN were 69.04 and 43.87 mg/L respectively, and the value of R2 was 0.99 for both models. It was observed that the MLPANN has stronger approximation and generalization ability than the RBFANN with regard to our experimental data for MLVSS.

scholarly journals Effect of Hydraulic Retention Time and Filling Time on Simultaneous Biodegradation of Phenol, Resorcinol and Catechol in a Sequencing Batch Reactor

2013 ◽  
Vol 39 (2) ◽  
pp. 69-80 ◽  
Author(s):  
Chandrakant Thakur ◽  
Indra Deo Mall ◽  
Vimal Chandra Srivastava
Keyword(s):  
Retention Time ◽  
Sequencing Batch Reactor ◽  
Hydraulic Retention Time ◽  
Batch Reactor ◽  
Oxygen Demand ◽  
Cod Removal ◽  
Synthetic Wastewater ◽  
Optimum Conditions ◽  
Heating Value ◽  
Filling Time

Abstract In the present study, treatment of synthetic wastewater containing phenol, resorcinol and catechol was studied in a sequencing batch reactor (SBR). Parameters such as hydraulic retention time (HRT) and filling time have been optimized to increase the phenol, resorcinol, catechol and chemical oxygen demand (COD) removal efficiencies. More than 99% phenol, 95% resorcinol and 96% catechol and 89% COD removal efficiency was obtained at optimum conditions of HRT = 1.25 d and fill time = 1.5 h. The heating value of the sludge was found to be 12 MJ/kg. The sludge can be combusted to recover its energy value.

Performance and Kinetic Study on Bioremediation of Diazo Dye (Reactive Black 5) in Wastewater Using Spent GAC–Biofilm Sequencing Batch Reactor

2011 ◽  
Vol 223 (4) ◽  
pp. 1615-1623 ◽  
Author(s):  
Soon-An Ong ◽  
Li-Ngee Ho ◽  
Yee-Shian Wong ◽  
Komalathevi Raman
Keyword(s):  
Kinetic Study ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Reactive Black 5 ◽  
Diazo Dye

Biological ammonium and sulfide oxidation in a nitrifying sequencing batch reactor: Kinetic and microbial population dynamics assessments

Chemosphere ◽  
2020 ◽  
Vol 253 ◽  
pp. 126637
Author(s):  
Diego Iván Bejarano Ortiz ◽  
Miguel Ángel Martínez Jardines ◽  
Flor de María Cuervo López ◽  
Anne-Claire Texier
Keyword(s):  
Population Dynamics ◽  
Sequencing Batch Reactor ◽  
Microbial Population ◽  
Batch Reactor ◽  
Sulfide Oxidation ◽  
Reactor Kinetic ◽  
Microbial Population Dynamics

Peranan BOD biosensor untuk proses optimasi pengolahan limbah sintetik di SBR

2019 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Lindawati Lindawati
Keyword(s):  
Biochemical Oxygen Demand ◽  
Sequencing Batch Reactor ◽  
Batch Reactor ◽  
Oxygen Demand

Sebuah Sequencing Batch Reactor (SBR) digunakan untuk mengevaluasi peranan Biochemical Oxygen Demand (BOD) biosensor dalam proses optimasi proses pengolahan nutrien karbon, nitrogen dan fosfat. Hasil penelitian menunjukkan bahwa BOD biosensor dapat dipergunakan untuk penentuan karbon organik, sehingga reduksi siklus SBR dapat dilakukan dan efisiensi proses meningkat. Pola konsumsi karbon organik ditemukan dengan adanya ‘tanda diam’ pada fase anoksik/ anaerobik, di mana dari tanda ini, fase aerobik dapat segera dimulai. Reduksi durasi siklus SBR dari 8 jam menjadi 4 jam meningkatkan efiesiensi pengolahan C, N dan P yang meningkat pula (hampir dua kali lebih tinggi).

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