Understanding the coagulation mechanism and floc properties induced by Fe(VI) and FeCl3: population balance modeling

Coagulation kinetics and floc properties are of great fundamental and practical importance in the field of water treatment. To investigate the performance of Fe(VI) and Fe(III) salt on particle coagulation, Malvern Mastersizer 2000 was employed to continuously and simultaneously monitor the kaolin f...

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Autores principales: Xinliang Liu, Hailiang Yin, Jian Zhao, Ziqi Guo, Zhen Liu, Yizhou Sang
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Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/4c5f267a2194479190ffffd006154394
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spelling oai:doaj.org-article:4c5f267a2194479190ffffd0061543942021-11-06T11:05:22ZUnderstanding the coagulation mechanism and floc properties induced by Fe(VI) and FeCl3: population balance modeling0273-12231996-973210.2166/wst.2021.150https://doaj.org/article/4c5f267a2194479190ffffd0061543942021-05-01T00:00:00Zhttp://wst.iwaponline.com/content/83/10/2377https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732Coagulation kinetics and floc properties are of great fundamental and practical importance in the field of water treatment. To investigate the performance of Fe(VI) and Fe(III) salt on particle coagulation, Malvern Mastersizer 2000 was employed to continuously and simultaneously monitor the kaolin floc size and structure change, and population balance modeling was used to investigate the coagulation mechanism. The results show dosage increase had positive effect on collision efficiency and floc strength and negative effect on restructure rate. Low shear rate resulted in higher collision efficiency and stronger floc. Low water temperature had a pronounced detrimental effect on coagulation kinetics. Temperature increase showed the most significant positive effect on collision efficiency, floc strength and restructure rate. The optimum pH zone for the coagulation was found to be between 6 and 8. Further pH increase lowered the collision efficiency and floc strength and increased the restructure rate. FeCl3 resulted in a larger ratio of the mass to volume of kaolin flocs (compactness) than those induced by ferrate. HIGHLIGHTS Population balance modeling achieved excellent approximation of coagulation process.; FeCl3 produced larger, stronger and more compact flocs than those by ferrate(VI).; Dosage increase had positive effect on collision efficiency and floc strength.; High temperature resulted in high collision efficiency, floc strength and restructure.; Optimum pH for both coagulation systems was between 6 and 8.;Xinliang LiuHailiang YinJian ZhaoZiqi GuoZhen LiuYizhou SangIWA Publishingarticlecollision efficiencyferric(iii) chloridefloc strengthpopulation balance modelpotassium ferrate(vi)restructure rateEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 83, Iss 10, Pp 2377-2388 (2021)
institution DOAJ
collection DOAJ
language EN
topic collision efficiency
ferric(iii) chloride
floc strength
population balance model
potassium ferrate(vi)
restructure rate
Environmental technology. Sanitary engineering
TD1-1066
spellingShingle collision efficiency
ferric(iii) chloride
floc strength
population balance model
potassium ferrate(vi)
restructure rate
Environmental technology. Sanitary engineering
TD1-1066
Xinliang Liu
Hailiang Yin
Jian Zhao
Ziqi Guo
Zhen Liu
Yizhou Sang
Understanding the coagulation mechanism and floc properties induced by Fe(VI) and FeCl3: population balance modeling
description Coagulation kinetics and floc properties are of great fundamental and practical importance in the field of water treatment. To investigate the performance of Fe(VI) and Fe(III) salt on particle coagulation, Malvern Mastersizer 2000 was employed to continuously and simultaneously monitor the kaolin floc size and structure change, and population balance modeling was used to investigate the coagulation mechanism. The results show dosage increase had positive effect on collision efficiency and floc strength and negative effect on restructure rate. Low shear rate resulted in higher collision efficiency and stronger floc. Low water temperature had a pronounced detrimental effect on coagulation kinetics. Temperature increase showed the most significant positive effect on collision efficiency, floc strength and restructure rate. The optimum pH zone for the coagulation was found to be between 6 and 8. Further pH increase lowered the collision efficiency and floc strength and increased the restructure rate. FeCl3 resulted in a larger ratio of the mass to volume of kaolin flocs (compactness) than those induced by ferrate. HIGHLIGHTS Population balance modeling achieved excellent approximation of coagulation process.; FeCl3 produced larger, stronger and more compact flocs than those by ferrate(VI).; Dosage increase had positive effect on collision efficiency and floc strength.; High temperature resulted in high collision efficiency, floc strength and restructure.; Optimum pH for both coagulation systems was between 6 and 8.;
format article
author Xinliang Liu
Hailiang Yin
Jian Zhao
Ziqi Guo
Zhen Liu
Yizhou Sang
author_facet Xinliang Liu
Hailiang Yin
Jian Zhao
Ziqi Guo
Zhen Liu
Yizhou Sang
author_sort Xinliang Liu
title Understanding the coagulation mechanism and floc properties induced by Fe(VI) and FeCl3: population balance modeling
title_short Understanding the coagulation mechanism and floc properties induced by Fe(VI) and FeCl3: population balance modeling
title_full Understanding the coagulation mechanism and floc properties induced by Fe(VI) and FeCl3: population balance modeling
title_fullStr Understanding the coagulation mechanism and floc properties induced by Fe(VI) and FeCl3: population balance modeling
title_full_unstemmed Understanding the coagulation mechanism and floc properties induced by Fe(VI) and FeCl3: population balance modeling
title_sort understanding the coagulation mechanism and floc properties induced by fe(vi) and fecl3: population balance modeling
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/4c5f267a2194479190ffffd006154394
work_keys_str_mv AT xinliangliu understandingthecoagulationmechanismandflocpropertiesinducedbyfeviandfecl3populationbalancemodeling
AT hailiangyin understandingthecoagulationmechanismandflocpropertiesinducedbyfeviandfecl3populationbalancemodeling
AT jianzhao understandingthecoagulationmechanismandflocpropertiesinducedbyfeviandfecl3populationbalancemodeling
AT ziqiguo understandingthecoagulationmechanismandflocpropertiesinducedbyfeviandfecl3populationbalancemodeling
AT zhenliu understandingthecoagulationmechanismandflocpropertiesinducedbyfeviandfecl3populationbalancemodeling
AT yizhousang understandingthecoagulationmechanismandflocpropertiesinducedbyfeviandfecl3populationbalancemodeling
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