Arsenic removal by iron-oxidizing bacteria in a fixed-bed coconut husk column: Experimental study and numerical modeling.
Arsenic oxidation
Arsenic removal
Groundwater
Iron oxidation
Iron-oxidizing bacteria
Reactive transport model
Journal
Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476
Informations de publication
Date de publication:
01 Mar 2021
01 Mar 2021
Historique:
received:
18
06
2020
revised:
04
10
2020
accepted:
30
10
2020
pubmed:
12
11
2020
medline:
11
2
2021
entrez:
11
11
2020
Statut:
ppublish
Résumé
Groundwater in several parts of the world, particularly in developing countries, has been contaminated with Arsenic (As). In search of low-cost As removal methods, the biological oxidation of As(III) and Fe(II) followed by co-precipitation requires detailed investigation for the practical implementation of this technology. The present study investigated the biological oxidation of As(III) and Fe(II) through a combination of laboratory experiments and reactive transport modeling. Batch experiments were conducted to evaluate the As(III) oxidation by Fe-oxidizing bacteria, mainly Leptothrix spp. A fixed-bed down-flow biological column containing inexpensive and readily available coconut husk support media was used to evaluate the combined removal of As(III) and Fe(II) from synthetic groundwater. Oxidation and co-precipitation processes effectively reduced the concentration of As(III) from 500 μg/L to < 10 μg/L with a hydraulic retention time of 120 min. A one-dimensional reactive transport model was developed based on the microbially mediated biochemical reactions of As(III) and Fe(II). The model successfully reproduced the observed As(III) and Fe(II) removal trends in the column experiments. The modeling results showed that the top 20 cm aerobic layer of the column played a primary role in the microbial oxidation of Fe(II) and As(III). The model calibration identified the hydraulic residence time as the most significant process parameter for the removal of Fe and As in the column. The developed model can effectively predict As concentrations in the effluent and provide design guidelines for the biological treatment of As. The model would also be useful for understanding the biogeochemical behavior of Fe and As under aerobic conditions.
Identifiants
pubmed: 33172698
pii: S0269-7491(20)36666-5
doi: 10.1016/j.envpol.2020.115977
pii:
doi:
Substances chimiques
Water Pollutants, Chemical
0
Iron
E1UOL152H7
Arsenic
N712M78A8G
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
115977Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.