Aerobic sludge granulation in shale gas flowback water treatment: Assessment of the bacterial community dynamics and modeling of bioreactor performance using artificial neural network.
Aerobic granular sludge
Artificial neural network
Bacterial community
Flowback water
Journal
Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523
Informations de publication
Date de publication:
Oct 2020
Oct 2020
Historique:
received:
05
05
2020
revised:
11
06
2020
accepted:
12
06
2020
pubmed:
24
6
2020
medline:
23
7
2020
entrez:
24
6
2020
Statut:
ppublish
Résumé
Flowback water from shale gas extraction is highly saline and comprises complex organic substances, thereby posing a significant challenge for the environmental management of the unconventional natural gas industry. In this work, an aerobic granular sludge (AGS) method was successfully used for the treatment of flowback water from shale gas extraction. The formed AGS had a diameter of 0.25-2.0 mm and the total sludge volume index was 23.40 mL g
Identifiants
pubmed: 32574748
pii: S0960-8524(20)30959-7
doi: 10.1016/j.biortech.2020.123687
pii:
doi:
Substances chimiques
Natural Gas
0
Sewage
0
Waste Water
0
Water
059QF0KO0R
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
123687Informations 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.