2019
DOI: 10.1007/s11783-019-1144-1
|View full text |Cite
|
Sign up to set email alerts
|

A comprehensive simulation approach for pollutant bio-transformation in the gravity sewer

Abstract: A comprehensive pollutant transformation model for sewer systems is established. • The model comprises fermentation, sulfate reduction and ammonification processes. • Biochemical reactions related to distinct carbon sources are depicted in the model. • Pollutant transformation is attributed to different biochemical reaction processes.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 46 publications
0
1
0
Order By: Relevance
“…Phosphorus can be enriched and released through microbial metabolism and other activities (Song et al, 2019). Using the sewage pipe transformation model, researchers found that the content of NH 4 + ‐N in the organic layer of sediments was higher than that in the wastewater (Zhao et al, 2019) and the eroded particles in wastewater mainly originate from the organic layer (Gasperi et al, 2010). Analysis using the sewage pipe model under multipoint confluence revealed that branch confluence is one of the important factors for the concentration changes of pollutants (Shi et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Phosphorus can be enriched and released through microbial metabolism and other activities (Song et al, 2019). Using the sewage pipe transformation model, researchers found that the content of NH 4 + ‐N in the organic layer of sediments was higher than that in the wastewater (Zhao et al, 2019) and the eroded particles in wastewater mainly originate from the organic layer (Gasperi et al, 2010). Analysis using the sewage pipe model under multipoint confluence revealed that branch confluence is one of the important factors for the concentration changes of pollutants (Shi et al, 2021).…”
Section: Introductionmentioning
confidence: 99%