C/N ratio effect on oily wastewater treatment using column type SBR: machine learning prediction and metagenomics study
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.
Authors
- Praveen C. Ramamurthy (ORCID: https://orcid.org/0000-0003-2103-5600)
- Abhradeep Majumder (ORCID: https://orcid.org/0000-0002-0186-6450)
- Isam H. Aljundi (ORCID: https://orcid.org/0000-0002-0714-8580)
- Dahiru Umar Lawal (ORCID: https://orcid.org/0000-0002-2185-6575)
- Izharul Haq Farooqi (ORCID: https://orcid.org/0000-0003-0601-7519)
- Nadeem Ahmad Khan (ORCID: https://orcid.org/0000-0003-4366-9639)
- Nastaran Mozaffari
- Simranjeet Singh (ORCID: https://orcid.org/0000-0003-0486-4802)
- Sandra Kathott Prakash
Institutions
- King Fahd University of Petroleum and Minerals (SA)
- Indian Institute of Technology Roorkee (IN)
- Aligarh Muslim University (IN)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
- Université Laval (CA)
- Indian Institute of Science Bangalore (IN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1038/s41598-024-72490-0
- Citations
- 5
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.01
Funders
- King Fahd University of Petroleum and Minerals