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C/N ratio effect on oily wastewater treatment using column type SBR: machine learning prediction and metagenomics study

  • Nadeem A. Khan*
  • , Abhradeep Majumder
  • , Simranjeet Singh
  • , Praveen C. Ramamurthy
  • , Sandra Kathott Prakash
  • , I. H. Farooqi
  • , Nastaran Mozaffari
  • , Dahiru U. Lawal
  • , Isam H. Aljundi*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The sequencing batch reactor has emerged as a promising technology in treating wastewater; however, its application in the treatment of generated water still needs to be explored. This research gap led to the investigation of various carbon-to-nitrogen (C/N) ratios in a column-type sequencing batch reactor (cSBR). The resulting data and model demonstrated that augmenting the SND process with an external carbon source is effective until the C/N ratio reaches 15, ultimately eliminating nitrogen in the produced water. Conversely, a reduced C/N ratio can limit the ability of polyphosphate-accumulating organisms to incorporate carbon into polyphosphate synthesis, thereby decreasing phosphorus removal efficiency within the cSBR. When the C/N ratio ranged from 6 to 8, and the mixed liquor suspended solids concentration was high, the average phosphate removal was approximately 55%, compared to only around 25% when the C/N ratio was less than 6.

Original languageEnglish
Article number22950
JournalScientific Reports
Volume14
Issue number1
DOIs
StatePublished - Dec 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Artificial neural network
  • Circular economy
  • Coastal wastewater
  • Interactive effect
  • Sequencing batch reactor
  • Stress intensity

ASJC Scopus subject areas

  • General

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