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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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one publication added to basket [126337]

Intelligent decision support system based geo-information technology and spatial planning for sustainable water management in Flanders, Belgium Saleh, H.A.; Allaert, G.; De Sutter, R.; Kellens, W.; De Maeyer, P.; Vanneuville, W. (2008). Intelligent decision support system based geo-information technology and spatial planning for sustainable water management in Flanders, Belgium, in: Feyen, J. et al. (Ed.) (2009). Proceedings of The International Urban Water Conference, Heverlee, Belgium, 15-19 September, 2008: Water and Urban Development Paradigms Towards an Integration of Engineering, Design and Management Approaches. pp. 283-288 In: Feyen, J. et al. (Ed.) (2009). Proceedings of The International Urban Water Conference, Heverlee, Belgium, 15-19 September, 2008: Water and Urban Development Paradigms Towards an Integration of Engineering, Design and Management Approaches. Taylor & Francis: London. ISBN 978-0-415-48334-6, meer

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Beschikbaar in	Auteurs
VLIZ: Open access 248374 [ download pdf ] Waterbouwkundig Laboratorium: Open Repository 139270 [ download pdf ]
Documenttype: Congresbijdrage

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Trefwoorden

Artificial intelligence Distribution > Geographical distribution Hazards > Weather hazards > Floods Management Planning België, Vlaanderen [Marine Regions]

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Auteurs		Top
Saleh, H.A. Allaert, G., meer De Sutter, R., meer	Kellens, W., meer De Maeyer, P., meer Vanneuville, W., meer

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Abstract

The paper outlines the main features of an intelligent decision support system based on existing and planned tools for optimising water management and flood risk reduction. Up to now, flood risk is increasing and environmental degradation is continuing; this requires developing robotic algorithms that can provide a degree of functionality for spatial representation and flexibility suitable for creating real-time solutions that maximize the urban flood protection measures. Moreover, the volume of data collected is growing rapidly and sophisticated means to efficiently optimise the data are essential. There is a need to develop a shared information system for flood management which will promote model and systems integration, monitoring, and decision making in strategic planning and emergency situations. This advanced area of research is a promising direction for producing an effective time-efficient solution to flood risk reduction where other methods failed. Therefore, the objective of this paper is to bring together innovative methods in the field of artificial intelligence, geo-information technology and spatial and environmental planning to achieve more effective water management and flood risk reduction in Flanders.

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