IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 35th IAHR Congress - Chengdu (2013) : THEME 5 - FLUVIAL HYDRAULICS AND RIVER MANAGEMENT : Prediction of Total Sediment Load in the River using the Lateral Distribution Method
Prediction of Total Sediment Load in the River using the Lateral Distribution Method
Author : Seongwook Choi, Jinhwi Lee and Sung-Uk Choi
The lateral distribution method is based on the force balance between gravity, bottom friction, lateral shear, and secondary flows in a cross section. With the assumption of uniform flow, the s olution of the method results in the distribution of the depth-averaged velocity, and the distributions of the bottom friction and lateral shear are obtained from the velocity distribution. In the present study, the lateral distribution method is applied to predictions of total sediment load in the river. Einstein partition is used to separate the impact of the bedform in the total shear stress. Bedload and suspended load are estimated separately. That is, two types of bedload formulas are used and compared. Rousean distribution is assumed with entrainment function proposed by Wright and Parker (2004). Total sediment load in the Han River, Korea is predicted. Predicted sediment loads are compared not only with measured data but also with those from the one-dimensional approach. The impacts of effective roughness height and mixture effect are presented and discussed.
File Size : 270,974 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 35th IAHR Congress - Chengdu (2013)
Article : THEME 5 - FLUVIAL HYDRAULICS AND RIVER MANAGEMENT
Date Published : 18/07/2016
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