Optimization of parameters using response surface methodology and genetic algorithm for biological denitrification of wastewater

Naik, S. Srinu; Setty, Y. Pydi

doi:10.1007/s13762-013-0266-4

Cited by 35 publications

(11 citation statements)

References 22 publications

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“…The obtained denitrification rates k D indicated that a pH value of 7.2 was most beneficial for denitrification (Figure 2). In a recent study using response surface methodology for biological denitrification, a similar observation was reported during parameter optimization, and a pH of 7.5 and temperature of 30°C were found to be optimal (Srinu Naik & Pydi Setty 2014). Furthermore, although the pH varied in the investigated range during tests, k D rates were between 18.7 and 27.5 mg/L/h NO 3 – ‐N, indicating the stability of the denitrification process.…”

Section: Resultssupporting

confidence: 57%

Use of Ion Exchange Beads as a Bacterial Carrier for Biodenitrification

Foglar

Šiljeg

Babić³

2016

Journal AWWA

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In this research, an exhausted ion exchange resin was used as a carrier of bacterial cells, and the resulting bio‐ion exchange resin beads were applied in batch and continuous‐flow experiments for monitoring nitrate removal. The continuous‐flow experiments investigated the effects of hydraulic retention times (HRTs) of 7–24 h on the course of denitrification; nitrate removal was achieved at HRTs longer than 9 h, with nitrate and organic removal efficiencies higher than 99 and 80%, respectively. Nitrate removal was then monitored continuously for 31 days. To investigate the influence of phosphate salts on denitrification performance, raw Cetina River water was used. The research also examined the effect of methanol addition on denitrification by decreasing the methanol‐to‐nitrogen mass ratio to 2.5:1. The obtained nitrate and organic removal efficiencies of 100 and 93%, respectively, suggest that the application of the resin beads was effective for continuous nitrate removal from surface water.

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Section: Resultssupporting

confidence: 57%

Use of Ion Exchange Beads as a Bacterial Carrier for Biodenitrification

Foglar

Šiljeg

Babić³

2016

Journal AWWA

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“…Optimization of Parameters. Response surface methodology (RSM), which is an effective statistical technique for multiparameter optimization, was used in this study to obtain a series of experiments designed to obtain an optimal response [24,25]. pH, contact time, initial concentration, and adsorbent dose are included in the parameters.…”

Section: Ion Exchange Capacitymentioning

confidence: 99%

Defluoridation of Aqueous Solution Using Thermally Activated Biosorbents Prepared from Adansonia digitata Fruit Pericarp

Mihayo

Vegi

Vuai

2021

Adsorption Science & Technology

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The presence of fluoride ions in water poses a significant danger to human health. In Tanzania, where the Rift Valley passes, some people are impaired due to elevated levels of fluoride in water. The purpose of this study was to prepare thermally activated Adansonia digitata fruit pericarp biosorbents at 450, 500, 550, and 600°C for defluoridation. Using the Brunauer-Emmett-Teller analyzer, the surface area and pore diameter were measured. The scanning electron microscope and Fourier transform infrared spectrometry were used to determine morphological features and functional groups of biosorbents. To analyze the effect of pH, adsorbent dose, contact time, and initial concentration, the response surface methodology was applied. Adsorption isotherms, kinetics, and regeneration studies were also conducted. There were considerably wide surface areas of 385.44, 399.27, 445.71, and 447.70 m2/g and pore diameters of 0.3055, 3.0341, 3.0375, and 3.0471 nm for biosorbents activated at 450, 500, 550, and 600°C, respectively. FT-IR spectra indicated the oxidation of alcoholic –OH to carboxylic –OH during the activation process, which is proved by the shifting of the peak at 3500-3000 cm-1 from raw biosorbent to a very broad and strong band at 3500-2000 cm-1 from the activated biosorbent. The maximum removal efficiencies of biosorbents activated at 450, 500, 550, and 600°C were 95.55, 96.50, 97.65, and 98.36%, respectively, for all biosorbents at a pH of 2, an initial concentration of 27.50 ppm, a contact period of 75.00 minutes, and an adsorbent dose of 5.50 g, which indicates that the adsorbents were successful for fluoride removal. The isotherms and kinetics indicated that the adsorption fitted well with Freundlich ( R 2 = 0.95661 ‐ 0.98445 ) and pseudo-second-order ( R 2 = 0.94230 ‐ 0.99634 ) kinetic adsorption models, respectively. The results showed that the removal of fluoride by biosorbents prepared is effective and could be used for defluoridation of drinking water.

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“…One way to solve such kind of problems is the use of randomized algorithms. As a new method, GA has been introduced for optimization of non-linear models (23)(24)(25). Various applications of GA have been proposed in non-linear models to determine the optimal parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Various applications of GA have been proposed in non-linear models to determine the optimal parameters. The flexibility of genetic algorithm is its major advantage which provides the objective function and constraints in farming (24). It can be seen that researchers have used GA to estimate the amounts of kinetic parameters of complex reactions.…”

Section: Introductionmentioning

confidence: 99%

Kinetic study of the regeneration of spent caustic via the genetic algorithm method

Karimi

Fatehifar

Alizadeh

et al. 2018

Environ Health Eng Manag

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Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results.

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Optimization of parameters using response surface methodology and genetic algorithm for biological denitrification of wastewater

Cited by 35 publications

References 22 publications

Use of Ion Exchange Beads as a Bacterial Carrier for Biodenitrification

Use of Ion Exchange Beads as a Bacterial Carrier for Biodenitrification

Defluoridation of Aqueous Solution Using Thermally Activated Biosorbents Prepared from Adansonia digitata Fruit Pericarp

Kinetic study of the regeneration of spent caustic via the genetic algorithm method

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