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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
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    Citations

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    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. 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.
    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. 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.

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