Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/74121
Title: Data-driven knowledge discovery: Four roads to vegetation-induced roughness formulae
Authors: Babovic, V. 
Issue Date: 2008
Source: Babovic, V. (2008). Data-driven knowledge discovery: Four roads to vegetation-induced roughness formulae. Proceedings of the International Workshop on Numerical Modelling of Hydrodynamics for Water Resources - Numerical Modelling of Hydrodynamics for Water Resources : 77-94. ScholarBank@NUS Repository.
Abstract: The paper describes the process of induction of equations for the description of vegetation-induced roughness from several angles. Firstly, it describes two approaches for obtaining theoretically well-founded analytical expressions for vegetation resistance. The first of the two is based on simplified assumptions for the vertical flow profile through and over vegetation, whereas the second is based on an analytical solution to the momentum balance for flow through and over vegetation. In addition to analytical expressions the paper also outlines a numerical 1-DV k-ε turbulence model which includes several important features related to influence plants exhibit on the flow. Last but not least, the paper presents a novel way of applying genetic programming to the results of the 1-DV model, in order to obtain an expression for roughness based on synthetic data. The resulting expressions are evaluated and compared with an independent data set of flume experiments. © 2008 Taylor & Francis Group.
Source Title: Proceedings of the International Workshop on Numerical Modelling of Hydrodynamics for Water Resources - Numerical Modelling of Hydrodynamics for Water Resources
URI: http://scholarbank.nus.edu.sg/handle/10635/74121
ISBN: 0415440564
Appears in Collections:Staff Publications

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