{"refrec":{"BRefID":242229,"RR":"<b>Van Lancker, V.; Francken, F.; Terseleer, N.; Van den Eynde, D.; De Mol, L.; De Tré, G.; De Mol, R.; Missiaen, T.; Hademenos, V.; Maljers, D.; Stafleu, J.; Van Heteren, S.</b> (2014). Interactive management of marine resources in the southern North Sea, a long-term perspective, <b><i>in</i></b>: De Mol, L. <i>et al.</i> (Ed.) <i>'Which future for the sand extraction in the Belgian part of the North Sea?'. Study day, 20 October 2014, Belgium Pier - Blankenberge.</i> pp. 89-94","BEntID":233928,"PublicFlag":1,"CheckedFlag":0,"wosflag":null,"vabbflag":null,"RefStringPartII":", <b><i>in</i></b>: De Mol, L. <i>et al.</i> <i>'Which future for the sand extraction in the Belgian part of the North Sea?'. Study day, 20 October 2014, Belgium Pier - Blankenberge.</i> pp. 89-94","DocTypID":17,"DocType":"Book chapters","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Van Lancker, V.; Francken, F.; Terseleer, N.; Van den Eynde, D.; De Mol, L.; De Tré, G.; De Mol, R.; Missiaen, T.; Hademenos, V.; Maljers, D.; Stafleu, J.; Van Heteren, S.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Van Lancker, V. <i>et al.</i>","Englishabstract":"Management of geological resources is based, ideally, on information on the quality and quantity of surface and subsurface litho-stratigraphical properties. Increasingly, these data become available for the offshore domain, though the integration into manageable and user-friendly applications is still at its infancy. Building on expertise from on-land data mining, we are now in the phase of creating 3D voxel models allowing for multi criteria resource volume calculations. The underlying data are subdued to uncertainty modelling, a necessary step to produce data products with confidence limits. Anticipating on the dynamic nature of the marine environment, voxel models are coupled to environmental impact models that calculate resource depletion and regeneration under various scenarios, and using geological boundary conditions. In combination with foreseen impacts on fauna and flora, mining thresholds can be defined. Integration into a decision-support system allows for easy querying and online visualizations. 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