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Building a 4D Voxel-Based Decision Support System for a Sustainable Management of Marine Geological Resources
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Author(s): Vera Van Lancker (Royal Belgian Institute of Natural Sciences, Belgium), Frederic Francken (Royal Belgian Institute of Natural Sciences, Belgium), Lars Kint (Royal Belgian Institute of Natural Sciences, Belgium), Nathan Terseleer (Royal Belgian Institute of Natural Sciences, Belgium), Dries Van den Eynde (Royal Belgian Institute of Natural Sciences, Belgium), Lies De Mol (FPS Economy, Belgium), Guy de Tré (Ghent University, Belgium), Robin De Mol (Ghent University, Belgium), Tine Missiaen (Ghent University, Belgium), Vasileios Hademenos (Ghent University, Belgium), Marcel Bakker (Geological Survey of the Netherlands, The Netherlands), Denise Maljers (Geological Survey of the Netherlands, The Netherlands), Jan Stafleu (Geological Survey of the Netherlands, The Netherlands)and Sytze van Heteren (TNO - Geological Survey of The Netherlands, The Netherlands)
Copyright: 2017
Pages: 29
Source title:
Oceanographic and Marine Cross-Domain Data Management for Sustainable Development
Source Author(s)/Editor(s): Paolo Diviacco (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Italy), Adam Leadbetter (Marine Institute, Ireland)and Helen Glaves (British Geological Survey, UK)
DOI: 10.4018/978-1-5225-0700-0.ch010
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Abstract
For sustainable management of marine geological resources, a geological knowledge base is being built for the Belgian and southern Netherlands part of the North Sea. Voxel models of the subsurface are used for predictions on sand and gravel quantities and qualities, to ensure long-term resource use. The voxels are filled with geological data from boreholes and seismic lines, but other information can be added also. The geology provides boundary conditions needed to run environmental impact models that calculate resource depletion and regeneration under various scenarios of aggregate extraction. Such analyses are important in monitoring progress towards good environmental status, as outlined in the Marine Strategy Framework Directive. By including uncertainty, data products can be generated with confidence limits, which is critical for assessing the significance of changes in the habitat or in any other resource-relevant parameter. All of the information is integrated into a cross-domain, multi-criteria decision support system optimised for user-friendliness and online visualisation.
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