Catalogus

Zoeken

Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.

Boekenmand

Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).

RSS

Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.

log in

Publicaties | Kaarten

nieuwe zoekopdracht

[ meld een fout in dit record ]

mandje (1): toevoegen | toon

---

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

---

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

---

Trefwoorden

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

---

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

---

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.

---

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid

Top | Auteurs