Quantitative impact of influent characteristics on nitrogen removal via anammox and denitrification in a landfill bioreactor case

Xiaoyuan Wang, Bing Xie, Chaoqun Zhang, Yiwen Shen, Jun Lu

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

In this paper, Quantitative Polymerase Chain Reaction (qPCR), Illumina MiSeq sequencing and 15N stable isotopic tracing methods were applied to study the effects of influent organic loading, BOD5/TN and NO2-N/NH4-N ratios on the combined nitrogen removal through denitrification and anammox. The results show that, the total nitrogen removal was above 90% at the optimum reaction condition: organic loading 0.04 kg/m3·day, BOD5/TN 0.2, and NO2-N/NH4-N 1.0. Approximately 9.43% of the nitrogen removal occurred through anammox process when BOD5/TN was 0.1, and increased to 21.46% when BOD5/TN was 0.2. The anammox accounted for 10% when NO2-N/NH4-N was 0.5, and that increased to 20.72% when NO2-N/NH4-N was 1.0–1.5. hzsA was directly proportional to the influent BOD5/TN. A positive correlation between BOD5/TN and anammox microorganisms existed. Similarly, there was a positive correlation between NO2-N/NH4-N and denitrification microorganisms. Therefore, it is feasible to regulate the influent to improve nitrogen removal efficiency.

Original languageEnglish
Pages (from-to)130-139
Number of pages10
JournalBioresource Technology
Volume224
DOIs
StatePublished - 1 Jan 2017

Keywords

  • Anammox
  • Denitrification
  • Functional microbial
  • Influent characteristics
  • Organic loading

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