Record nummer 1900416
Titel artikel A preliminary analysis of bedform evolution in the Waal during 2002-2003 flood event using Delft3D
Bron Proceedings of MARID-2008, Leeds, UK
Auteur(s) Giri, S. ; Vuren, S. van ; Ottevanger, W. ; Sloff, K. ; Sieben, A.
Deel(Jaar)Nummer (2008)
Paginering 1 - 8
Annotatie(s) figs.; refs
Online full text
Trefwoorden (cab) morfologie / rivieren / overstromingen / modellen / waterbodems / waal
Rubrieken Hydrologie
Publicatie type Hoofdstuk uit boek
Taal Engels
Toelichting (Engels) Reliable and timely information is essential for appropriate flood management. The EU research project FloodMan (Near real time flood forecasting, warning and management) focussed on the possible role of satellite information for improved flood forecasting. The project, which started in 2003 and was finalised in 2006, addressed the topic of near real-time flood forecasting, warning and management. The overall objective of the project was to develop, demonstrate, and validate an information system for cost effective flood forecasting and management using Earth Observation (EO) data, in particular space borne SAR (Synthetic Aperture Radar) data, hydrological and hydraulic models, and in-situ data. Dataassimilation techniques have been developed, demonstrated and validated for integrated hydrological and hydraulic computer models. The developed tools have been applied to two pilot sites in Germany and Finland. This paper reviews the final results of the project. In addition we present the results of a follow-up study in Finland on the value of satellite images for flood mapping and detection of potential water detention areas. The major challenge of FloodMan was to assess the feasibility of using satellite images as an additional spatially distributed source of information for on-line updating of modelling systems. Algorithms were developed to assess soil moisture and flood extent from radar images. In Germany a model instrumentation was developed and applied in a pilot study of the river Rhine. The model combines a hydraulic model representing the Rhine River between Andernach and Düsseldorf with a hydrological model for the Sieg tributary. To increase the accuracy of flood forecasts, data assimilation is applied, using temporal data (time series of water level measurements) as well as spatial data (flood maps derived from satellite data). Due to the restricted availability of satellite images in the project period, synthetic flood maps were applied to test the approach. In Finland the existing hydrological flood forecasting system was extended in FloodMan so as to apply satellite information on soil moisture and flood extent. The satellite information was later on also used for floodplain mapping and evaluated for its potential use for detection and quantification (volume assessment) of water detention areas intended for floodwater storage
Betrokken instanties HKV Lijn in Water
Rijksinstituut voor Integraal Zoetwaterbeheer en Afvalwaterbehandeling (RIZA)
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