Identifying Bacteria and Sludge Characteristics of Foaming Sludge in Four Full-Scale Wastewater Treatment Plants in Fujian Province, China

Biological foaming is a major problem in activated sludge (AS) wastewater treatment systems. In this study, four wastewater treatment plants (WWTPs) (a total of six AS treatment systems) were investigated. The microscopic examination shows that foaming was mainly caused by gram-positive short branch microorganisms, sludge fragments, and/or other microorganisms, while the long unbranched filamentous was easy to cause bulking. The high throughput sequencing (HTS) and Linear discriminant analysis effect Size (LEfSe) identified the significant discrepancy of bacteria in foams compared to normal AS. Mycobacterium, Mycobacteriaceae, Nocardiaceae, Actinomycetales, Chryseobacterium, Flavobacterium, Ormithobacterium, Flavobacteriaceae, and Portibacter were considered as the dominant foaming-potential bacteria but not the most abundant bacteria in the foams. The excessive growth of foaming bacteria (including Haliscomentbacter, Saprospiraceae, and Tetrasphra) directly led to bulking with a high sludge volume index and was positively correlated with sludge retention time (SRT) and negatively correlated with dissolved oxygen (DO), which means long SRT and low DO may lead bulking instead of foaming. It also found that the foaming bacteria (including Skermania, Comamonadaceae, Cloacibacterium, Flavobacterium, and Chryseobacterium) had significant positive correlations with suspended solids and mixed liquid suspended solids, and negative correlations with temperature and DO concentration.

Authors

Institutions

Publication Details

Journal
Processes
Published
2025-01-09
DOI
https://doi.org/10.3390/pr13010169
Primary Topic
Wastewater Treatment and Nitrogen Removal
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying Bacteria and Sludge Characteristics of Foaming Sludge in Four Full-Scale Wastewater Treatment Plants in Fujian Province, China

Linlin Lin, Limin Zhang, Chengzhi Yu, Qiaoying Wang et al.
Processes
Wastewater Treatment and Nitrogen Removal
article

Identifying Bacteria and Sludge Characteristics of Foaming Sludge in Four Full-Scale Wastewater Treatment Plants in Fujian Province, China

Linlin Lin, Limin Zhang, Chengzhi Yu, Qiaoying Wang, Yihan Chen, Xin Wang, Yonghao Wang, Xinying Zhang, Meixiang Chen, Yongjing Wang, Dan Dan Lin
article en

Abstract

Biological foaming is a major problem in activated sludge (AS) wastewater treatment systems. In this study, four wastewater treatment plants (WWTPs) (a total of six AS treatment systems) were investigated. The microscopic examination shows that foaming was mainly caused by gram-positive short branch microorganisms, sludge fragments, and/or other microorganisms, while the long unbranched filamentous was easy to cause bulking. The high throughput sequencing (HTS) and Linear discriminant analysis effect Size (LEfSe) identified the significant discrepancy of bacteria in foams compared to normal AS. Mycobacterium, Mycobacteriaceae, Nocardiaceae, Actinomycetales, Chryseobacterium, Flavobacterium, Ormithobacterium, Flavobacteriaceae, and Portibacter were considered as the dominant foaming-potential bacteria but not the most abundant bacteria in the foams. The excessive growth of foaming bacteria (including Haliscomentbacter, Saprospiraceae, and Tetrasphra) directly led to bulking with a high sludge volume index and was positively correlated with sludge retention time (SRT) and negatively correlated with dissolved oxygen (DO), which means long SRT and low DO may lead bulking instead of foaming. It also found that the foaming bacteria (including Skermania, Comamonadaceae, Cloacibacterium, Flavobacterium, and Chryseobacterium) had significant positive correlations with suspended solids and mixed liquid suspended solids, and negative correlations with temperature and DO concentration.

ProcessesVol. 13(1)
Tongji University (CN), Fujian Petrochemical Group (China) (CN), Fuzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 100%
Wastewater Treatment and Nitrogen Removal
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.