IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v33y2019i11d10.1007_s11269-019-02343-3.html
   My bibliography  Save this article

Application of Gaussian Process Regression Model to Predict Discharge Coefficient of Gated Piano Key Weir

Author

Listed:
  • Masood Akbari

    (University of Tabriz)

  • Farzin Salmasi

    (University of Tabriz)

  • Hadi Arvanaghi

    (University of Tabriz)

  • Masoud Karbasi

    (University of Zanjan)

  • Davood Farsadizadeh

    (University of Tabriz)

Abstract

The Piano Key (PK) weir is a new type of long crested weirs. This study was involved the addition of a gate to PK weir inlet keys. It was conducted by the Department of Water Engineering, University of Tabriz, Iran to determine if the gate increased hydraulic performance. A Gated Piano Key (GPK) weir was constructed and tested for discharge ranges of between 10 and 130 l per second. To this end, 156 experimental tests were performed and the effective parameters on the GPK weir discharge coefficient (Cd), such as gate dimensions (b and d), gate insertion depth in the inlet key (Hgate), the ratio of the inlet key width to the outlet key width (Wi/Wo) and the head over the GPK weir crest (H) were investigated. In addition, application of soft computing to estimate of Cd was carried out using MLP, GPR, SVM, GRNN, multiple linear and non-linear regressions methods using MATLAB 2018 software. This study suggests the relation for Cd with non-dimension parameters. The results of this study showed that H, Wi/Wo, Hgate and b and d, had the greatest effect on the GPK weir discharge coefficient, respectively. The GPR method was introduced as a new effective method for predicting discharge coefficient of weirs with RMSE = 0.011, R2 = 0.992 and MAPE = 1.167% and provided the best results when compared with other methods.

Suggested Citation

  • Masood Akbari & Farzin Salmasi & Hadi Arvanaghi & Masoud Karbasi & Davood Farsadizadeh, 2019. "Application of Gaussian Process Regression Model to Predict Discharge Coefficient of Gated Piano Key Weir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3929-3947, September.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:11:d:10.1007_s11269-019-02343-3
    DOI: 10.1007/s11269-019-02343-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-019-02343-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-019-02343-3?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meysam Nouri & Parveen Sihag & Ozgur Kisi & Mohammad Hemmati & Shamsuddin Shahid & Rana Muhammad Adnan, 2022. "Prediction of the Discharge Coefficient in Compound Broad-Crested-Weir Gate by Supervised Data Mining Techniques," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    2. Amiya Abhash & K. K. Pandey, 2021. "Experimental and Numerical Study of Discharge Capacity and Sediment Profile Upstream of Piano Key Weirs with Different Plan Geometries," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1529-1546, March.
    3. Askari, Ighball Baniasad & Shahsavar, Amin & Jamei, Mehdi & Calise, Francesco & Karbasi, Masoud, 2022. "A parametric assessing and intelligent forecasting of the energy and exergy performances of a dish concentrating photovoltaic/thermal collector considering six different nanofluids and applying two me," Renewable Energy, Elsevier, vol. 193(C), pages 149-166.
    4. Kiyoumars Roushangar & Mahdi Majedi Asl & Saman Shahnazi, 2021. "Hydraulic Performance of PK Weirs Based on Experimental Study and Kernel-based Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3571-3592, September.

    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:spr:waterr:v:33:y:2019:i:11:d:10.1007_s11269-019-02343-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.