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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

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Building a 4D voxel-based decision support system for a sustainable management of marine geological resources Van Lancker, V.; Francken, F.; Kint, K.; Terseleer, N.; Van den Eynde, D.; De Mol, L.; De Tré, G.; De Mol, R.; Missiaen, T.; Hademenos, V.; Bakker, M.; Maljers, D.; Stafleu, J.; Van Heteren, S. (2017). Building a 4D voxel-based decision support system for a sustainable management of marine geological resources, in: Diviacco, P. et al. Oceanographic and marine cross-domain data management for sustainable development. pp. 224-252. http://dx.doi.org/10.4018/978-1-5225-0700-0.ch010 In: Diviacco, P.; Leadbetter, A.; Glaves, H. (Ed.) (2017). Oceanographic and marine cross-domain data management for sustainable development. Advances in Environmental Engineering and Green Technologies. IGI Global: Hershey. ISBN 978-1-5225-0700-0. xxv, 424 pp., meer In: Advances in Environmental Engineering and Green Technologies. IGI Global: Hershey. ISSN 2326-9162; e-ISSN 2326-9170, meer

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Auteurs		Top
Van Lancker, V., meer Francken, F., meer Kint, K., meer Terseleer, N., meer Van den Eynde, D., meer	De Mol, L., meer De Tré, G., meer De Mol, R., meer Missiaen, T., meer Hademenos, V., meer	Bakker, M. Maljers, D. Stafleu, J. Van Heteren, S.

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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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