![]() (2011) tried to obtain the correction model of the lower reach of the Tapi River based on the HEC–RAS model. In recent years, scholars have conducted the following studies on the calibration of n value. Therefore, it is necessary to study the calibration of n value for the flume model ( Xiaoqin et al. In the CCHE2D model of flow and sediment, n value is the most sensitive and important initial condition in the flow simulation that affects the accuracy of hydraulic parameters, water surface, velocity distribution and other hydraulic characteristics. Previous studies have shown that the roughness obtained from the observation of a flume model cannot be directly used as the roughness of a numerical model ( Yuankang et al. The result shows that there is a large error between the water surface of the numerical model and the water surface of the flume model. Manning's roughness coefficient (n) was selected in the CCHE2D model by using both an empirical method and a theoretical method. A flume model experiment and flow simulation using CCHE2D were used in the study. Therefore, this study takes the Qiman reach of the Tarim River as an example. In this study, the riparian protection mechanism of a Permeable Sheet Piling Spur Dike was studied to contribute to the comprehensive treatment of the Tarim River and the ecological reconstruction of the basin. The result shows that the calibration method of n value for a flume model by using the CCHE2D model and error analysis presented in this paper is feasible and reliable. The relative error between n value obtained by the empirical method and n value obtained by the numerical simulation method is analyzed. Manning's n value for a flume model which meets the minimum error requirements is determined. ![]() ![]() The consistency between the simulated water surface and the measured water surface with different n value is compared by using the error analysis method. The measured topographic data and hydraulic data obtained from the flume experiments are taken as the initial boundary conditions in flow simulation, and n value for a flume model of the Qiman reach of Tarim River is calibrated by using a CCHE2D model. This paper takes the Tarim River as an example to study the selection of Manning's roughness coefficient (n) in numerical simulation and presents a new method for calibrating Manning's roughness coefficient of a flume model. ![]()
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