Analysis of the time dependency of ammonia-oxidizing bacterial community dynamics in an activated sludge bioreactor

Jun Geol Baek; Jonghyuck Park; Taek Seung Kim; Hee Deung Park

doi:10.1016/j.jbiosc.2011.03.021

Analysis of the time dependency of ammonia-oxidizing bacterial community dynamics in an activated sludge bioreactor

Jun Geol Baek, Jonghyuck Park, Taek Seung Kim, Hee Deung Park

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

An autoregressive error term model was applied to examine the dynamic oscillation of ammonia-oxidizing bacterial (AOB) lineages found in an activated sludge bioreactor. The current abundance of AOB lineages was affected by the past abundance of AOB lineages and past environmental and operational factors as well as current influencing factors.

Original language	English
Pages (from-to)	166-169
Number of pages	4
Journal	Journal of Bioscience and Bioengineering
Volume	112
Issue number	2
DOIs	https://doi.org/10.1016/j.jbiosc.2011.03.021
Publication status	Published - 2011 Aug

Bibliographical note

Funding Information:
We would like to thank Professor Craig Criddle at Stanford University for providing the AOB community and operational data collected from the Palo Alto Water Quality Control Center (Palo Alto, CA, USA). This study was funded by grants from the National Research Foundation of Korea ( K20901001306-09B1200-10310 ).

Keywords

Activated sludge
Ammonia-oxidizing bacteria
Dynamics
Time series analysis
Wastewater treatment

ASJC Scopus subject areas

Biotechnology
Bioengineering
Applied Microbiology and Biotechnology

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10.1016/j.jbiosc.2011.03.021

Cite this

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title = "Analysis of the time dependency of ammonia-oxidizing bacterial community dynamics in an activated sludge bioreactor",

abstract = "An autoregressive error term model was applied to examine the dynamic oscillation of ammonia-oxidizing bacterial (AOB) lineages found in an activated sludge bioreactor. The current abundance of AOB lineages was affected by the past abundance of AOB lineages and past environmental and operational factors as well as current influencing factors.",

keywords = "Activated sludge, Ammonia-oxidizing bacteria, Dynamics, Time series analysis, Wastewater treatment",

author = "Baek, {Jun Geol} and Jonghyuck Park and Kim, {Taek Seung} and Park, {Hee Deung}",

note = "Funding Information: We would like to thank Professor Craig Criddle at Stanford University for providing the AOB community and operational data collected from the Palo Alto Water Quality Control Center (Palo Alto, CA, USA). This study was funded by grants from the National Research Foundation of Korea ( K20901001306-09B1200-10310 ).",

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AU - Kim, Taek Seung

AU - Park, Hee Deung

N1 - Funding Information: We would like to thank Professor Craig Criddle at Stanford University for providing the AOB community and operational data collected from the Palo Alto Water Quality Control Center (Palo Alto, CA, USA). This study was funded by grants from the National Research Foundation of Korea ( K20901001306-09B1200-10310 ).

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N2 - An autoregressive error term model was applied to examine the dynamic oscillation of ammonia-oxidizing bacterial (AOB) lineages found in an activated sludge bioreactor. The current abundance of AOB lineages was affected by the past abundance of AOB lineages and past environmental and operational factors as well as current influencing factors.

AB - An autoregressive error term model was applied to examine the dynamic oscillation of ammonia-oxidizing bacterial (AOB) lineages found in an activated sludge bioreactor. The current abundance of AOB lineages was affected by the past abundance of AOB lineages and past environmental and operational factors as well as current influencing factors.

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KW - Time series analysis

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Analysis of the time dependency of ammonia-oxidizing bacterial community dynamics in an activated sludge bioreactor

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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