Technical Papers
Sep 22, 2016

Improved 2D Shallow Water Model Able to Capture the Effects of Complex Bathymetric Features through Their Subgrid Modeling

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Publication: Journal of Hydraulic Engineering
Volume 143, Issue 2

Abstract

In this study, an improved two-dimensional (2D) model is proposed for simulating shallow water flows over complex bathymetry through their subgrid modeling. The proposed model delineates the detailed unevenness in the topography of selected 2D elements that are usually ignored in other common 2D hydrodynamic models by specifying the bed elevation at more than one point in an element. The relationship between submerged area and water stage and the relationship between water volume and water stage can then be preprocessed for every specified element. The process is similar to how cross sections are handled in standard one-dimensional models. Thus, the 2D model can simulate the open channel flow accurately and efficiently, with only one element been applied over the channel width. The proposed model was tested using a hypothetical channel flow with an analytical solution and a real river-coast system with measured data. The simulations showed that the model could achieve the same level of accuracy using a coarse mesh as that obtained by previous 2D models with a refined mesh. The proposed 2D model performs well at predicting shallow flows over complex terrain, which is usually handled by coupled models.

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Acknowledgments

This work is financially supported by the National Natural Science Foundation of China (No. 51279079 and No. 51279078), the National Key Technology RandD Program of China (No. 2013BAB05B05 and No. 2010BAE00739) and the National Key Research and Development Program of China (No. 2016YFC0502202).

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 143Issue 2February 2017

History

Received: Nov 2, 2015
Accepted: Jul 18, 2016
Published online: Sep 22, 2016
Published in print: Feb 1, 2017
Discussion open until: Feb 22, 2017

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Assistant Engineer, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Master’s Student, State Key Laboratory of Hydroscience and Engineering, Tsinghua Univ., Beijing 100084, China. E-mail: [email protected]
Zhaowei Liu [email protected]
Associate Professor, State Key Laboratory of Hydroscience and Engineering, Tsinghua Univ., Beijing 100084, China (corresponding author). E-mail: [email protected]
Yongcan Chen [email protected]
Professor, State Key Laboratory of Hydroscience and Engineering, Tsinghua Univ., Beijing 100084, China; Professor, School of Environment and Resource, Southwest Univ. of Science and Technology, Mianyang 621010, China. E-mail: [email protected]
Associate Professor, State Key Laboratory of Hydroscience and Engineering, Tsinghua Univ., Beijing 100084, China. E-mail: [email protected]

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