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 journalArticlepeer-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 languageEnglish
Pages (from-to)166-169
Number of pages4
JournalJournal of Bioscience and Bioengineering
Volume112
Issue number2
DOIs
Publication statusPublished - 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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