Optimization of Biological Elimination of Ammonia and Chemical Oxygen Demand from Wastewater Using Response Surface Methodology

2014 ◽  
Vol 42 (12) ◽  
pp. 1744-1750 ◽  
Author(s):  
Sanak Ray ◽  
Ayusman Mohanty ◽  
Shakti S. Mohanty ◽  
Snehasish Mishra ◽  
Gautam Roy Chaudhury
Keyword(s):  
Response Surface Methodology ◽  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Oxygen Demand

scholarly journals Taguchi Method and Response Surface Methodology in the Treatment of Highly Contaminated Tannery Wastewater Using Commercial Potassium Ferrate

Materials ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 3784 ◽  
Author(s):  
Violetta Kozik ◽  
Krzysztof Barbusinski ◽  
Maciej Thomas ◽  
Agnieszka Sroda ◽  
Josef Jampilek ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Organic Carbon ◽  
Taguchi Method ◽  
Chemical Oxygen Demand ◽  
Total Organic Carbon ◽  
Response Surface ◽  
Suspended Solids ◽  
Oxygen Demand ◽  
Tannery Wastewater ◽  
Potassium Ferrate

The potential implementation of Envifer®, a commercial product containing potassium ferrate (40.1% K2FeO4), for the purification of highly contaminated tannery wastewater from leather dyeing processes was proposed. The employment of the Taguchi method for optimization of experiments allowed the discoloration (98.4%), chemical oxygen demand (77.2%), total organic carbon (75.7%), and suspended solids (96.9%) values to be lowered using 1.200 g/L K2FeO4 at pH 3 within 9 min. The application of the central composite design (CCD) and the response surface methodology (RSM) with the use of 1.400 g/L K2FeO4 at pH 4.5 diminished the discoloration, the chemical oxygen demand, the total organic carbon, and suspended solids within 9 min. The Taguchi method is suitable for the initial implementation, while the RSM is superior for the extended optimization of wastewater treatment processes.

Optimisation of chemical oxygen demand removal from landfill leachate by sonocatalytic degradation in the presence of cupric oxide nanoparticles

2017 ◽  
Vol 35 (6) ◽  
pp. 636-646 ◽  
Author(s):  
Paria Amirian ◽  
Edris Bazrafshan ◽  
Abolfazl Payandeh
Keyword(s):  
Response Surface Methodology ◽  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Landfill Leachate ◽  
Cupric Oxide ◽  
Oxygen Demand ◽  
Oxide Nanoparticles ◽  
Ultrasonic Frequency ◽  
Optimum Conditions ◽  
Cupric Oxide Nanoparticles

Leachate is the liquid formed when waste breaks down in the landfill and water filters through that waste. This liquid is very toxic and can pollute the land, ground water, and water resources. In most countries, it is mandatory for landfills to be protected against leachate. In addition to all other harms to the environment, disposal of raw landfill leachate can be a major source of hazard to closed water bodies. Hence, treatment of landfill leachate is considered an essential step prior to its discharge from source. This article describes the sonocatalytic degradation of chemical oxygen demand in landfill leachate using cupric oxide nanoparticles as sonocatalyst (cupric oxide/ultrasonic) and aims to establish this method as an effective alternative to currently used approaches. An ideal experimental design was carried out based on a central composite design with response surface methodology. The response surface methodology was used to evaluate the effect of process variables including pH values (3, 7, 11), cupric oxide nanoparticles dose (0.02, 0.035, 0.05 g), reaction time (10, 35, 60 minutes), ultrasonic frequency (35, 37, 130 KHz), and their interaction towards the attainment of their optimum conditions. The derived second-order model, including both significant linear and quadratic terms, seemed to be adequate in predicting responses (R2 = 0.9684 and prediction R2 = 0.9581). The optimum conditions for the maximum chemical oxygen demand sonocatalytic degradation of 85.82% were found to be pH 6.9, cupric oxide nanoparticles dosage of 0.05 gr L−1, and the ultrasonic frequency of 130 kHz at a contact time of 10 min.

scholarly journals APPLICATION OF RESPONSE SURFACE METHODOLOGY (RSM) - REDUCTION OF INDUSTRIAL WASTEWATER CHEMICAL OXYGEN DEMAND

2017 ◽  
Vol 5 ◽  
pp. 1226-1232 ◽  
Author(s):  
Emmanuel Kweinor Tetteh ◽  
Sudesh Rathilal
Keyword(s):  
Response Surface Methodology ◽  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Industrial Wastewater ◽  
Oxygen Demand ◽  
Chemical Oxygen Demand Removal ◽  
Oil Refineries ◽  
Study Results ◽  
Input Variables

Industrial waste oil in water from oil refineries and petrochemical processing poses a major environmental concern. Environmental pollution from these wastewaters is increasing and will continue to rise due to a growing demand for petrochemical products and energy. The composition of these industrial wastes varies from location to location as well as with manufacturing processes. In terms of water quality issues, chemical oxygen demand is considered one of the most problematic in oil refinery wastewater treatment. This study applies the response surface methodology to obtain a response model for industrial wastewater treatment. Operating parameters are optimized to enhance the treatment performance. The study, focusing on the effects of input variables for chemical oxygen demand removal, was experimentally carried out using dissolved air floatation jar tests. The experimental matrix incorporated the Box-Behnken design in the response surface methodology. In addition, the procedure evaluated the effect of the input variables and their interactions to obtain the optimum condition for the extent of efficiency. The results show that the chemical oxygen demand removal was sensitive to the effect of the input variables and their interactions. The statistical analysis established that the quadratic model was highly significant with a low probability (< 0.0001), indicating that the correlated regression scattering was unlikely random. The predicted model results corresponded well to the experimental results, with a coefficient of determination close to 1.0. The response surface of the model is presented in three-dimensional plots. These study results show that the addition of a coagulant to remove chemical oxygen demand is effective under acidic conditions when response surface methodology is applied.

scholarly journals Aplikasi Metode Advance Oxidation Process (AOP) Fenton pada Pengolahan Limbah Cair Pabrik Kelapa Sawit

2016 ◽  
Vol 11 (1) ◽  
pp. 1 ◽  
Author(s):  
Ruka Yulia ◽  
Hesti Meilina ◽  
Adisalamun Adisalamun ◽  
Darmadi Darmadi
Keyword(s):  
Response Surface Methodology ◽  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Oxidation Process ◽  
Oxygen Demand ◽  
Total Suspended Solid ◽  
Suspended Solid ◽  
Box Behnken Design ◽  
Advance Oxidation Process

Penelitian ini bertujuan untuk mengetahui kemampuan proses Fenton dalam menurunkan kadar chemical oxygen demand (COD) dan kadar total suspended solid (TSS) dari limbah cair pabrik kelapa sawit (PKS) dan menentukan kondisi optimum dari parameter yang digunakan dengan Response Surface Methodology menurut Box- Behnken design. Sampel diambil pada keluaran pertama kolam anaerobik ketiga dari instalasi pengolahan limbah cair kelapa sawit yang mengandung nilai COD berkisar antara 8.000 hingga 12.000 ppm. Pada penelitian ini, dilakukan pengujian pada berbagai pH, konsentrasi FeSO4.7H2O dan konsentrasi hidrogen peroksida. Hasil  penelitian menunjukkan bahwa kemampuan proses AOP dengan metode Fenton dapat menurunkan konsentrasi COD dan TSS masing-masing adalah 70,7704% dan 88,3897% pada konsentrasi FeSO4.7H2O 3703,52 ppm, konsentrasi H2O2 5586,43 ppm, dan pH 3.

Improving the simultaneous removal of chemical oxygen demand and terephthalic acid in a cross-flow aerobic sludge reactor by using response surface methodology

2015 ◽  
Vol 71 (12) ◽  
pp. 1823-1830
Author(s):  
Dong-Xue Hu ◽  
Yu Tian ◽  
Zhao-Bo Chen ◽  
Hui Ge ◽  
Yu-Bo Cui ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Chemical Oxygen Demand ◽  
Response Surface ◽  
Terephthalic Acid ◽  
Cross Flow ◽  
Oxygen Demand ◽  
Interactive Effects ◽  
Operational Parameters ◽  
Removal Rates ◽  
Aerobic Sludge

Central composite design and response surface methodology (RSM) were implemented to optimize the operational parameters for a cross-flow aerobic sludge reactor (CFASR) in remedying mixed printing and dyeing wastewater (MPDW). The individual and interactive effects of three variables, hydraulic retention time (HRT), pH and sludge loading rate (SLR), on chemical oxygen demand (COD) and terephthalic acid (TA) removal rates were evaluated. For HRT of 15.3–19.8 hours, pH of 7.2–8.1 and SLR of 0.4–0.6 kg chemical oxygen demand (COD) per kg mixed liquor suspended solids per day, COD and TA removal rates of the CFASR exceeded 85% and 90%, respectively. The check experiment revealed that the effluent from the optimized CFASR was stable below the limitation of 100 mg COD/L and the TA concentration decreased by 6.0% compared to the usual CFASR. The results verified that the RSM was useful for optimizing the operation parameters of the CFASR in remedying MPDW.

scholarly journals Central Composite Design: a Response Surface Methodology Approach in Biodegradation of Textile Dye Wastewater

2021 ◽  
Vol 43 (6) ◽  
pp. 461-475
Author(s):  
Nur Hanis Mohamad Hanapi ◽  
Sharifah Hanis Yasmin Sayid Abdullah ◽  
Azimah Ismail ◽  
Hafizan Juahir
Keyword(s):  
Response Surface Methodology ◽  
Chemical Oxygen Demand ◽  
Central Composite Design ◽  
Response Surface ◽  
Process Parameters ◽  
Oxygen Demand ◽  
Textile Dye ◽  
Initial Concentration ◽  
Bacterial Inoculum ◽  
Central Composite

Objectives : This study evaluated and identified the removal of colors and chemocal oxygen demands from thextile dye effluents by Bacillus cereus isolated from the local textile wastewater treatment plant.Methods : Central composite design (CCD) from response surface methodology (RSM) was applied in order to achieve the optimized treatment process condition for the textile dyes wastewater degradation. Two-level of three process parameters with six center points resulted a total of twenty runs of experiments were performed. Bacterial inoculum (-1,+1) (%, v/v), agitation (-1, +1) (rpm), and pH (-1, +1) were tested.Results and Discussion : During the ten days of biodegradation process, highest decolourization achieved was 88.67% with low pH and agitation; and medium level of initial concentration of bacterial inoculum. Highest chemical oxygen demand (COD) removal was achieved with 99.20% from high pH (pH 10), low agitation (100 rpm) and high initial concentration of bacterial inoculum (15%, v/v).Conclusions : The biological treatments was able to remove colour and chemical oxygen demand with application of CCD, giving the optimum settings of the three process parameters studied.

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