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Predicting Transverse Dispersion Coefficient in Natural Streams

Author(s): Tae Myoung Jeon

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Keywords: Transverse dispersion coefficient; Natural stream; Sinuosity; Width-to-depth ratio; Friction term; Least square method; Robust least square method

Abstract: To determine the transverse dispersion coefficient (TDC) is essential for analysis of 2-D mixing in natural streams. However, because of the difficulty in performing the tracer tests in natural streams, the empirical and theoretical equations are necessary to predict the value of TDC without tracer tests. In this study, a new dispersion coefficient equation that can estimate the TDC by using only hydraulic and geometric data in natural streams has been developed. Total 32 cases in 16 streams are collected, and among those cases, 16 cases are used for proposing the new empirical equation, and the other 16 cases are used for verifying the proposed equation. By using dimensional analysis, the dimensionless TDC can be related with several parameters such as sinuosity, width-to-depth ratio, and friction term. As regression methods, least square method and robust least square method are used. The newly proposed equation is proven to be superior in explaining the dispersion characteristics of natural streams more precisely compared to the existing equations.

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Year: 2005

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