IDEAS home Printed from https://ideas.repec.org/a/taf/rwinxx/v48y2023i3p322-330.html
   My bibliography  Save this article

Sewage system diagnosis based on online monitoring technology

Author

Listed:
  • Chenchen Zhao
  • Haoyan Liu
  • Yingxin Guo
  • Le An

Abstract

External water (such as rainwater, mountain water and groundwater) will decrease the inflow contaminant concentration in urban sewage plants, and pose challenges in improving the wastewater treatment quality and efficiency. Therefore, removing the external water is vital for this target. A sewage plant in Zhuhai, China, was considered as an example. By performing online flow monitoring, water quality testing, on-site survey and data analysis, the rainfall-derived inflow and infiltration of the sewage system were quantitatively analysed through the pollutant balance method. By proposing key emphases of severe problems, the presented findings will aid in sewage system maintenance and pipeline network renovation.

Suggested Citation

  • Chenchen Zhao & Haoyan Liu & Yingxin Guo & Le An, 2023. "Sewage system diagnosis based on online monitoring technology," Water International, Taylor & Francis Journals, vol. 48(3), pages 322-330, April.
    • Handle: RePEc:taf:rwinxx:v:48:y:2023:i:3:p:322-330
    DOI: 10.1080/02508060.2023.2204616
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02508060.2023.2204616
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02508060.2023.2204616?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.

    More about this item

    Statistics

    Access and download statistics

    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:taf:rwinxx:v:48:y:2023:i:3:p:322-330. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rwin20 .

    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.