2020
DOI: 10.1111/wej.12611
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Comparing the log‐response curve and adsorption isotherm model for removing dissolved organic matter during La Nina event

Abstract: Coagulation is the most commonly used chemical treatment process that is used to remove contaminants from drinking water. In this study, the Log‐Dose‐Response (LDR) model and theoretical isotherm models (Langmuir and Freundlich) were employed to predict the DOC removal in the coagulation process during La Nina events. The six months water samples were collected during an intense La Niña cycle at various locations along the River Murray and elsewhere in South Australia. The Jar testing was conducted with differ… Show more

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Cited by 2 publications
(2 citation statements)
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“…For Langmuir, Freundlich, and Temkin with an R 2 value of 0.993, 0.974, and 0.952, respectively, the experimental data are better fitted by Langmuir with the highest R 2 signifying that the binding sites on the surface of MC/TiO 2 NP nanocomposite are homogeneous and monolayer, and a similar trend was observed in other studies. 78 82 …”
Section: Resultsmentioning
confidence: 99%
“…For Langmuir, Freundlich, and Temkin with an R 2 value of 0.993, 0.974, and 0.952, respectively, the experimental data are better fitted by Langmuir with the highest R 2 signifying that the binding sites on the surface of MC/TiO 2 NP nanocomposite are homogeneous and monolayer, and a similar trend was observed in other studies. 78 82 …”
Section: Resultsmentioning
confidence: 99%
“…The primary wastewater treatment systems utilize chemical additives to facilitate the agglomeration and rapid sedimentation of particulates (flocs) (Sahu & Chaudhari, 2013). Various chemical additives, such as coagulants and flocculants, have been utilized in wastewater systems (Murshed et al, 2021; Sahu & Chaudhari, 2013; Teh et al, 2016). Coagulants, such as aluminium sulfate (alum), iron chloride and iron sulfide, are employed as the most successful chemicals for the phosphorous removal to reduce the potential eutrophication of water (Nir et al, 2009).…”
Section: Introductionmentioning
confidence: 99%