Modeling and Determination of Effective Parameters in Flow Roughness Coefficient in Alluvial Channels with Dun Bedforms Using Support Vector Regression

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ROUSHANGAR K.; ALAMI M.T.; SAGHEBIAN S.M.

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Paper Information

Journal: WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE) Year:2018 | Volume:28 | Issue:2 Page(s): 231-244

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Title

Modeling and Determination of Effective Parameters in Flow Roughness Coefficient in Alluvial Channels with Dun Bedforms Using Support Vector Regression

Author(s)

ROUSHANGAR K. | ALAMI M.T. | SAGHEBIAN S.M. | Issue Writer Certificate

Keywords

Alluvial channelQ2

DuneQ2

Support Vector RegressionQ2

Roughness coefficientQ3

Reynolds numberQ2

Abstract

Determination of flow Roughness coefficient in the channels and river hydraulics is necessary for calculating of the discharge, the velocity and the depth of flow. Calculating the exact values of this coefficient is complex and difficult due to the influence of various parameters on it. In this study, using Support Vector Regression as one of the machine learning approaches, the flow Roughness coefficient in Alluvial channel with Dune bedform is predicted for four experimental data series under three scenarios (modeling based on flow characteristics, flow and bedform characteristics and flow and sediment characteristics) and the rate of input parameters is investigated using different performance criteria. The obtained results show that the Support Vector Regression approach has desired accuracy in predicting the Roughness coefficient. Also, the flow Reynolds number parameter with the most impact was recognized as the most significant parameter in estimating the Roughness coefficient in the erodible beds with Dune bedforms.

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APA: Copy

ROUSHANGAR, K., ALAMI, M.T., & SAGHEBIAN, S.M.. (2018). Modeling and Determination of Effective Parameters in Flow Roughness Coefficient in Alluvial Channels with Dun Bedforms Using Support Vector Regression. WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), 28(2 ), 231-244. SID. https://sid.ir/paper/147902/en

Vancouver: Copy

ROUSHANGAR K., ALAMI M.T., SAGHEBIAN S.M.. Modeling and Determination of Effective Parameters in Flow Roughness Coefficient in Alluvial Channels with Dun Bedforms Using Support Vector Regression. WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE)[Internet]. 2018;28(2 ):231-244. Available from: https://sid.ir/paper/147902/en

IEEE: Copy

K. ROUSHANGAR, M.T. ALAMI, and S.M. SAGHEBIAN, “Modeling and Determination of Effective Parameters in Flow Roughness Coefficient in Alluvial Channels with Dun Bedforms Using Support Vector Regression,” WATER AND SOIL SCIENCE (AGRICULTURAL SCIENCE), vol. 28, no. 2 , pp. 231–244, 2018, [Online]. Available: https://sid.ir/paper/147902/en

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