IDEAS home Printed from https://ideas.repec.org/a/hin/complx/1862844.html
   My bibliography  Save this article

Optimal Calculation Method of Mean Equivalent Diameter of Floc Particles Based on MCC

Author

Listed:
  • Jun Liu
  • Siqi Peng
  • Nan Zhou
  • Jing Na

Abstract

In the process of water treatment, coagulation is an important process to remove minerals and organic particles from raw water, which has typical time delay and nonlinearity. The effect of coagulation directly affects the turbidity of the effluent. According to the good correlation between the mean equivalent diameter of floc particles and the turbidity of effluent water, the image processing method is used to preprocess the floc image, the parameters of floc particles are quantitatively analyzed, and the mean equivalent diameter of floc particles is obtained, which is used as one of the bases for the control of coagulant dosage. However, no matter whether the coagulation process in actual situations interferes with the outside world or not, the equivalent diameters of floc particles after coagulation may have abnormal and invalid values, which may lead to a problem that there is a large difference between the mean equivalent diameter of floc particles calculated by a least square method and the mean valid equivalent diameter of floc particles. In response to this problem, this article proposes an optimal calculation method of the mean equivalent diameter of floc particles based on the maximum correntropy criterion (MCC) to reduce the negative impact of the abnormal and invalid equivalent diameters of floc particles on the mean equivalent diameter and provide an important reference data for the precise dosing control of coagulants. Finally, the feasibility of the theoretical results is verified by several numerical experiments.

Suggested Citation

  • Jun Liu & Siqi Peng & Nan Zhou & Jing Na, 2022. "Optimal Calculation Method of Mean Equivalent Diameter of Floc Particles Based on MCC," Complexity, Hindawi, vol. 2022, pages 1-9, October.
  • Handle: RePEc:hin:complx:1862844
    DOI: 10.1155/2022/1862844
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2022/1862844.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2022/1862844.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/1862844?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
    ---><---

    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:hin:complx:1862844. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.