Volume visualization of 5D sedimentation models

Rhonda J. Vickery; Timothy Keen; Robert J. Moorhead II; Randy Brou; Daniel Carruth; Stephanie Doane

doi:10.1117/12.458783

12 March 2002 Volume visualization of 5D sedimentation models

Rhonda J. Vickery, Timothy Keen, Robert J. Moorhead II, Randy Brou, Daniel Carruth, Stephanie Doane

Proceedings Volume 4665, Visualization and Data Analysis 2002; (2002) https://doi.org/10.1117/12.458783
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

We implemented a hybrid immersive visualization system for a five dimensional (5D) coupled bottom boundary layer-sedimentation model. This model predicts sediment resuspension, transport, and resulting distributions for shallow water regions on continental shelves. One variable of interest, suspended sediment concentration (SSC), is 5D and varies by longitude, latitude, depth, time, and grain size. At each grid point there are twenty values for SSC, representing grain sizes ranging from 2.36 to 3306 micrometers . Currently the most common methods of analyzing the SSC distribution are only 2D, e.g., point profiles, cross-sections, map views at equal water depths, and time series. Traditional methods require multiple sets of plots that are analyzed manually. Good 3D methods are needed that will allow researchers to investigate the complex relationships between variables and see the underlying physical processes more comprehensively, especially within the wave boundary layer close to the ocean bottom. This paper presents the work in progress on the motivation, requirements, and overall design of the visualization system, along with the latest efforts to incorporate volume visualization as an effective means of understanding the SSC variable. The system is optimized for deployment in a CAVE. We also describe the extension of this system to other problem domains.

Citation Download Citation

Rhonda J. Vickery, Timothy Keen, Robert J. Moorhead II, Randy Brou, Daniel Carruth, and Stephanie Doane "Volume visualization of 5D sedimentation models", Proc. SPIE 4665, Visualization and Data Analysis 2002, (12 March 2002); https://doi.org/10.1117/12.458783

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