Prediction of membrane fouling using artificial neural networks for wastewater treated by membrane bioreactor technologies: bottlenecks and possibilities-Reference-Cited by-同舟云学术

Prediction of membrane fouling using artificial neural networks for wastewater treated by membrane bioreactor technologies: bottlenecks and possibilities

Published:2017-09-04 Issue:29 Volume:24 Page:22885-22913
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Schmitt Félix,Do Khac-Uan^ORCID

Funder

EXPLO'RA Sup scholarship provided by Région Auvergne-Rhône-Alpes

Hanoi University of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/article/10.1007/s11356-017-0046-7/fulltext.html

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3. Alkmim AR, da Costa PR, Moser PB, França Neta LS, Santiago VMJ, Cerqueira AC, Amaral MCS (2016) Long-term evaluation of different strategies of cationic polyelectrolyte dosage to control fouling in a membrane bioreactor treating refinery effluent. Environ Technol (United Kingdom) 37:1026–1035. https://doi.org/10.1080/09593330.2015.1096964

4. Arabi S, Nakhla G (2009) Characterization of foulants in conventional and simultaneous nitrification and denitrification membrane bioreactors. Sep Purif Technol 69:153–160

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