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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2021
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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) |
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collision efficiency ferric(iii) chloride floc strength population balance model potassium ferrate(vi) restructure rate Environmental technology. Sanitary engineering TD1-1066 |
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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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1718443727356166144 |