Image-based flow visualisation (IBFV) to enhance interpretation of complex flow patterns within a shallow tidal barrier estuary

Warne, David, Young, Joseph A., Larsen, Genevieve R., & Cox, Malcolm E. (2013) Image-based flow visualisation (IBFV) to enhance interpretation of complex flow patterns within a shallow tidal barrier estuary. Environmental Modelling & Software, 47, pp. 64-73.

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Abstract

We applied a texture-based flow visualisation technique to a numerical hydrodynamic model of the Pumicestone Passage in southeast Queensland, Australia. The quality of the visualisations using our flow visualisation tool, are compared with animations generated using more traditional drogue release plot and velocity contour and vector techniques. The texture-based method is found to be far more effective in visualising advective flow within the model domain. In some instances, it also makes it easier for the researcher to identify specific hydrodynamic features within the complex flow regimes of this shallow tidal barrier estuary as compared with the direct and geometric based methods.

Impact and interest:

3 citations in Scopus
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2 citations in Web of Science®

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149 since deposited on 01 May 2013
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ID Code: 59516
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Flow Visualisation, Texture based Methods, Image Based Flow Visualisation, Hydrogeology, Complex flows
DOI: 10.1016/j.envsoft.2013.04.007
ISSN: 1873-6726 (online) 1364-8152 (print)
Subjects: Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE (040600) > Hydrogeology (040603)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Graphics (080103)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Divisions: Current > QUT Faculties and Divisions > Division of Technology, Information and Learning Support
Current > Schools > School of Earth, Environmental & Biological Sciences
Current > Research Centres > High Performance Computing and Research Support
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Elsevier Ltd. All rights reserved.
Copyright Statement: Author's Pre-print: author can archive pre-print (ie pre-refereeing)
Author's Post-print: author can archive post-print (ie final draft post-refereeing)
Publisher's Version/PDF: author cannot archive publisher's version/PDF
Deposited On: 01 May 2013 01:08
Last Modified: 03 Sep 2015 16:15

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