IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v306y2024ics0378377424004852.html
   My bibliography  Save this article

Optimizing nutrient removal of algal-bacterial symbiosis system for treating low C/N farmland drainage

Author

Listed:
  • Luo, Lijie
  • Xiaojuan, He
  • Qin, Yifeng
  • Liu, Yaoze
  • Wu, Yizhao
  • Chen, Mingsheng
  • Liao, Yiying
  • Zhang, Liang
  • Li, Xudong

Abstract

The removal of nitrogen from farmland drainage is challenging due to the typically low carbon-to-nitrogen (C/N) ratio. In this study, an algal-bacterial symbiosis system was developed to treat low C/N farmland drainage. The investigation focused on the nutrient removal rates, microbial growth characteristics, extracellular polymeric substances (EPS) content, and microbial community species composition under varied disturbance frequencies and light conditions (intensity and duration). Results demonstrated that the optimal operating conditions were three disturbances per 24 h, a light intensity of 20,000 lux, and a 16-hour lighting duration. Under these conditions, the average removal rates of soluble chemical oxygen demand, total nitrogen, total phosphorus, nitrate nitrogen, and ammonia nitrogen reached 45.1 %, 73.3 %, 98.1 %, 63.1 %, and 97.3 %, respectively. Compared to continuous disturbance, intermittent disturbance reduced energy consumption by over 90 % and promoted higher biomass accumulation, with an average dry weight of 508.7 mg L−1 and chlorophyll-a concentration of 521.0 μg L−1. Meanwhile, a robust microbial community and a balanced bacterial-to-algal gene copy ratio (exceeding 25:1) were critical for nutrient removal. The optimized system facilitated symbiote secretion of bound polysaccharides (45.2 μg L−1, double that of other reactors), promoting the formation of robust biofilms and enhancing nutrient removal. This work provides a technical reference for improving nutrient removal in low C/N wastewater treatment processes.

Suggested Citation

  • Luo, Lijie & Xiaojuan, He & Qin, Yifeng & Liu, Yaoze & Wu, Yizhao & Chen, Mingsheng & Liao, Yiying & Zhang, Liang & Li, Xudong, 2024. "Optimizing nutrient removal of algal-bacterial symbiosis system for treating low C/N farmland drainage," Agricultural Water Management, Elsevier, vol. 306(C).
  • Handle: RePEc:eee:agiwat:v:306:y:2024:i:c:s0378377424004852
    DOI: 10.1016/j.agwat.2024.109149
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424004852
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2024.109149?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:306:y:2024:i:c:s0378377424004852. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.