Artificial intelligence and multivariate statistics for comprehensive assessment of filamentous bacteria in wastewater treatment plants experiencing sludge bulking-Reference-Cited by-同舟云学术

Artificial intelligence and multivariate statistics for comprehensive assessment of filamentous bacteria in wastewater treatment plants experiencing sludge bulking

Published:2020-08 Issue: Volume:19 Page:100853
ISSN:2352-1864
Container-title:Environmental Technology & Innovation
language:en
Short-container-title:Environmental Technology & Innovation

Author:

Deepnarain Nashia,Nasr Mahmoud,Kumari Sheena,Stenström Thor A.,Reddy Poovendhree,Pillay Kriveshin,Bux Faizal

Funder

Water Research Commission (WRC), South Africa

Nasr Academy for Sustainable Environment

Publisher

Elsevier BV

Subject

Plant Science,Soil Science,General Environmental Science

Reference54 articles.

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4. Phylogeny of the filamentous bacterium Eikelboom Type 1851, and design and application of a 16S rRNA targeted oligonucleotide probe for its fluorescence in situ identification in activated sludge;Beer;FEMS Microbiol. Lett.,2002

5. Filamentous Chloroflexi (green non-sulfur bacteria) are abundant in wastewater treatment processes with biological nutrient removal;Björnsson;Microbiology,2002

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