Prediction of the Discharge Coefficient in Compound Broad-Crested-Weir Gate by Supervised Data Mining Techniques

Meysam Nouri, Parveen Sihag, Ozgur Kisi (), Mohammad Hemmati (), Shamsuddin Shahid and Rana Muhammad Adnan
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Meysam Nouri: Department of Water Engineering, Faculty of Agriculture, Urmia University, Urmia 57561-51818, Iran
Parveen Sihag: Department of Civil Engineering, Shoolini University, Solan 43521-15862, Himachal Pradesh, India
Ozgur Kisi: Civil Engineering Department, Ilia State University, 0162 Tbilisi, Georgia
Mohammad Hemmati: Department of Water Engineering, Faculty of Agriculture, Urmia University, Urmia 57561-51818, Iran
Shamsuddin Shahid: School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
Rana Muhammad Adnan: School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China

Sustainability, 2022, vol. 15, issue 1, 1-19

Abstract: The current investigation evaluated the discharge coefficient of a combined compound rectangular broad-crested-weir (BCW) gate ( C dt ) using the computational fluid dynamics (CFD) modeling approach and soft computing models. First, CFD was applied to the experimental data and 61 compound BCW gates were numerically simulated by resolving the Reynolds-averaged Navier–Stokes equations and stress turbulence models. Then, six data-driven procedures, including M5P tree, random forest (RF), support vector machine (SVM), Gaussian process (GP), multimode ANN and multilinear regression (MLR) were used for estimating the coefficient of discharge ( C dt ) of the weir gates. The results showed the superlative accuracy of the SVM model compared to M5P, RF, GP and MLR in predicting the discharge coefficient. The sensitivity investigation revealed the h 1 / H as the most effective parameter in predicting the C dt , followed by the d/p, b / B 0 , B / B 0 and z/p. The multimode ANN model reduced the root mean square error (RMSE) of M5P, RF, GP, SVM and MLR by 37, 13, 6.9, 6.5 and 32%, respectively. The graphical inspection indicated the multimode ANN model as the most suitable for predicting the C dt of a BCW gate with minimum RMSE and maximum correlation.

Keywords: combined weir gate; compound broad-crested weir; CFD simulation; soft computing based models; discharge coefficient (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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