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      Optimization of total trihalomethanes' (TTHMs) and their precursors' removal by granulated activated carbon (GAC) and sand dual media by response surface methodology (RSM)

      1 , 2 , 3 , 2 , 1
      Water Supply
      IWA Publishing

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          Abstract

          A response surface methodology (RSM) applying central composite design with rotatable full factorial (14 non-center and six center points) was used to discern the effect of granular activated carbon (GAC), sand and pH on total trihalomethanes (TTHMs) and humic acid (HA) removal from drinking water. Results showed efficient TTHMs and HA removal by GAC while a sand column showed little effect for TTHMs but was significant for total organic carbon (TOC) removal. With GAC and a sand column of 4 cm, a pH increase from 6 to 8 caused an increase in TTHM removal from 79.8 to 83.6% while a decrease in HA removal from 26.6 to 6.6% was observed. An increase in GAC column depth from 10 to 20 cm caused a slight increase in TTHM removal from 99.4 to 99.7%, while TOC removal was increased from an average of 38.85% to 57.4% removal. The developed quadratic model for TTHM removal (p = 0.048) and linear model for TOC removal (p = 0.039) were significant. GAC column depth (p < 0.0117) and column depth2 (p < 0.039) were the most significant factors. A 98% TTHMs, 30%TOC and 51% residual chlorine removal were optimized at 9 cm GAC and 4 cm sand column depth at pH 8 with desirability factor (D) 0.64.

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          Most cited references17

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          Optimizing adsorption of crystal violet dye from water by magnetic nanocomposite using response surface modeling approach.

          A magnetic nanocomposite was developed and characterized. Adsorption of crystal violet (CV) dye from water was studied using the nanocomposite. A four-factor central composite design (CCD) combined with response surface modeling (RSM) was employed for maximizing CV removal from aqueous solution by the nanocomposite based on 30 different experimental data obtained in a batch study. Four independent variables, viz. temperature (10-50°C), pH of solution (2-10), dye concentration (240-400 mg/l), and adsorbent dose (1-5 g/l) were transformed to coded values and a second-order quadratic model was built to predict the responses. The significance of independent variables and their interactions were tested by the analysis of variance (ANOVA) and t-test statistics. Adequacy of the model was tested by the correlation between experimental and predicted values of the response and enumeration of prediction errors. Optimization of the process variables for maximum adsorption of CV by nanocomposite was performed using the quadratic model. The Langmuir adsorption capacity of the adsorbent was determined as 81.70 mg/g. The model predicted maximum adsorption of 113.31 mg/g under the optimum conditions of variables (concentration 240 mg/l; temperature 50°C; pH 8.50; dose 1g/l), which was very close to the experimental value (111.80 mg/g) determined in batch experiment. Copyright © 2010 Elsevier B.V. All rights reserved.
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            A study of the factors affecting the removal of humic acid by activated carbon prepared from biomass material

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              Application of Response Surface Method as an Experimental Design to Optimize Coagulation Tests

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                Author and article information

                Journal
                Water Supply
                IWA Publishing
                1606-9749
                1607-0798
                June 01 2016
                December 30 2015
                June 01 2016
                June 01 2016
                December 30 2015
                June 01 2016
                : 16
                : 3
                : 783-793
                Affiliations
                [1 ]School of Civil and Environmental Engineering (SCEE), Institute of Environmental Sciences and Engineering (IESE), National University of Sciences and Technology, NUST, H-12 sector, Islamabad, Pakistan
                [2 ]Civil Environmental and Geomatic Engineering Department, University College of London, London WC1E 6BT, UK
                [3 ]Department of Civil Engineering, Kyungnam University, Changwon, South Korea
                Article
                10.2166/ws.2015.175
                011b9a15-b4f7-4d33-bfc9-9ae5aae17d73
                © 2016
                History

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