Prediction of Flow Discharge in Compound Open Channels Using Group Method of Data Handling

Document Type : Research Article

Authors

1 Ph.D. Candidate of Hydro-Structure Engineering, Water Engineering Department, Lorestan University, Khorramabad, Iran.

2 Ph.D. Candidate of Hydro-Structure Engineering, Water Engineering Department, Gorgan University, Golestan, Iran.

3 Associate professor in Water Engineering, Gorgan University of Agricultural Sciences and Natural, Golestan, Iran.

Abstract

Prediction of flow through the compound open channel is one of the main problems in the field of hydraulic engineering. One of the main parameter related to the flow properties in the compound open channel is shear stress. The shear stress occurs because of difference of velocities between the main channel and floodplains. The shear stress is the main causes of turbulence and vortex creation on the border of main channel and floodplains. The difference between the roughness of main channel and floodplains intensifies the shear stress in the border zone and also decreases total flow discharge. In this paper, the flow discharge in compound open channels was predicted using group method of data handling technique. To do this, related dataset was collected from literature. Involved parameters in modeling are relative hydraulic depth (Hr ), relative hydraulic radius (Rr ), relative roughness (fr ) and relative area (Ar ). To compare the performance of GMDH with other types of soft computing methods, the MLPNN as most well[1]known soft computing technique was developed as well. Results indicated that the GMDH model with coefficient of determination 0.91 and root means square error 0.057 was more accurate than the MLPNN. Reviewing the structure of developed GMDH model showed that and are the most effective parameters on prediction of flow discharge in compound open channels.

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