Abstract
In terms of higher water demand due to increases of agriculture lands which depend on irrigation channels, there is a need to increase the efficiency of weirs already constructed on those channels. The most reasonable solution is to modify the existing weirs instead of replacing them by new ones to avoid costly solutions. In this study, a potential of using different Machine Learning regression algorithms has been investigated to estimate the coefficient of discharge Cd for rectangular weir with multiple circular slots. Using experimental data set, three Machine Learning regression models; Decision Tree Regressor (DTR), Artificial Neural Networks (ANN) and Support Vector Machine Regressor (SVR) were developed and compared to find most suitable algorithm. Based on the simulation results of the three developed models, it was found that the ANNs algorithm is the superior one which can be used to estimate discharge coefficient Cd for rectangular weirs with multiple circular slots. It gives the highest matching between measured and predicted values with correlation coefficient (R2 ) value of 0.759, minimum MAE with value 0.001 and minimum MSE with value 0.022. Finally, an equation using ANNs is presented to estimate the discharge coefficient.
Highlights
In terms of higher water demand due to increases of planted lands which depend on irrigation channels, there is a need to increase the efficiency of constructed weirs on those channels
The main objective of the current research is to develop quick and easy reliable model to simulate combined flow for rectangular weir with multiple circular slots and to estimate its coefficient of discharge. For these purposes three Machine Learning Regression Models based on three different algorithms; Decision Tree Regressor (DTR), Artificial Neural Networks (ANN) and Support Vector Machine Regressor (SVR) were developed and compared to find the most suitable model
The total sum is the input at each hidden node and pass through an activation function as defined in Equation (7), and further the output from hidden node get multiplied with the weight and adds with the bias value and total sum pass through the activation again as shown in Equation (8)
Summary
Weirs are the most common water structures. They may be used to measure the water flow rate and divide water between irrigation canals, etc. Neveen and Ehab [9] tested experimentally three cases of openings arrangements including one, two and three openings They developed an equation to estimate the discharge coefficient for different suggested combinations. The main objective of the current research is to develop quick and easy reliable model to simulate combined flow for rectangular weir with multiple circular slots and to estimate its coefficient of discharge. For these purposes three Machine Learning Regression Models based on three different algorithms; Decision Tree Regressor (DTR), Artificial Neural Networks (ANN) and Support Vector Machine Regressor (SVR) were developed and compared to find the most suitable model
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