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Extreme wind-field evolution in time and space
The high-resolution atmospheric model HARMONIE has been set up, calibrated, validated and used to produce a 35-year-long dataset of open-water winds in Dutch water systems. A statistical lifting method was also developed and used to determine the evolution in time and space of extreme winds in all Dutch water systems.
Estimating real-time predictive hydrological uncertainty
The doctorate research focused on estimating uncertainty in real-time predictive hydrological modelling. The research included variations on existing techniques for probabilistic forecasting that included the combination of applying post-processing techniques to both weather forecasts and hydrological forecasts, the combination of ensemble techniques with statistical post-processing techniques, and improvements to statistical post-processing techniques.
Ensemble Kalman Filtering for improving coastal-wave forecasts
The aim of the European MyWave project was to improve the accuracy and dissemination of wave forecasts in general and coastal-wave forecasts in particular. The project ran from 2012 to 2015 and was coordinated by the Norwegian Meteorological Institute. In the MyWave project, Deltares used the OpenDA toolbox to demonstrate that the accuracy of the operational Dutch coastal-wave predictions with a SWAN model can be significantly and efficiently increased by using Ensemble Kalman Filtering (EnKF) data assimilation.
Delft-FIAT : a generic tool for flood impact analysis
Flood risk management draws increasingly on information about the damage and casualties caused by floods. The information helps policy-makers decide which measures will reduce impacts most effectively and how much investment is justified. Deltares has developed a tool, Delft-FIAT, that can estimate impacts by converting inundation maps into figures and maps that show projected damage and casualties. The open-source Python core is controlled by an Excel file. This allows people with little programming experience to use it without difficulty. Deltares recently used this tool in several flood risk studies around the world for both data-poor and data-rich areas.
Deformations of open filters in coastal structures
A numerical model has been developed that can predict deformation in a sand core underneath a rock layer. The model has been validated using existing laboratory data for open filters. Considerable amounts of construction material can be saved by accepting small deformations in the core.
Collaborative modelling of complex social and environmental issues
Population growth and socio-economic developments are the main causes of the growing pressure on water systems. However, the allocation of water resources to competing organisations and flood risk management make planning for water resources complex. Informed decision-making and participatory planning have therefore become widely recognised as a pre-requisite for sustainability in Integrated Water Resources Management (IWRM). Deltares has been working since 2013 on an extensive study of the existing participatory and collaborative modelling approaches that are used worldwide for IWRM and that can be applied to the collaborative or participatory use of our computer-based models.
Climate change effects on the protection of coasts by coral reefs
Coral reefs under pressure from climate change and direct human activity may provide tropical islands with less protection from wave attack, erosion and the salinisation of the drinking water resources that help to sustain life on those islands. Deltares collaborated with the U.S. Geological Survey to assess how climate change will affect the potential mitigation of coastal hazards by coral reefs.
The European CleanSea project is the first multi-disciplinary research project to look at marine litter in Europe. Deltares contributed to the project mainly through experimental work, but also by modelling simulations. Results showed that plastics may be affecting the food web in the North Sea.
Citizen observations of water quality
The general public contributes to ocean science and water-quality monitoring by registering the colour and transparency of water with their smartphones. The water colour data are combined with satellite data and can be used by scientists and water managers for trend analysis and mapping.
Chemical risks of reshaping deep lakes
Deltares has played a crucial role in the development of a new risk assessment method for the reshaping of deep lakes that includes the large-scale storage of soils and sediments under water. Risk assessment tools for nutrients and pollutants were developed to protect surface water and groundwater.