MESSAI.iO

AI summary

90% confidence

MES research in microbial, treatment. Microbial communities of activated sludge (AS) play a key role in the performanc...

Generated by MESSAI extraction pipeline · review against source PDF

Extraction

Reported parameters

2 extracted values

View extracted values

No 3D model is mapped to this paper yet. Parameter ranges above still place reported values on the literature distribution.

What they did

System
not_BES

What worked

No outcome metrics extracted yet.

Abstract

Microbial communities of activated sludge (AS) play a key role in the performance of wastewater treatment processes. However, seasonal variability of microbial population in varying AS-based processes has been poorly correlated with operation of full-scale wastewater treatment systems (WWTSs). In this paper, significant seasonal variability of AS microbial communities in eight WWTSs located in the city of Guangzhou were revealed in terms of 16S rRNA-based Miseq sequencing. Furthermore, variation redundancy analysis (RDA) demonstrated that the microbial community compositions closely correlated with WWTS operation parameters such as temperature, BOD, NH4+-N and TN. Consequently, support vector regression models which reasonably predicted effluent BOD, SS and TN in WWTSs were established based on microbial community compositions. This work provided an alternative tool for rapid assessment on performance of full-scale wastewater treatment plants.

Keywords

Microbial population biologyEffluentSewage treatmentWastewaterActivated sludgePopulation

Identifiers

DOI
10.1371/journal.pone.0152998
Journal
PLOS ONE
Year
2016