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Waarom deltadijken bijdragen aan een robuust systeem
Quantifying measures to limit wind-driven resuspension of sediments for improvement of the ecological quality in some shallow Dutch lakes
Trends in sea-level trend analysis
On the flood and inundation management of Ho Chi Minh City, Viet Nam
This paper explores the application of a probabilistic modelling framework to assess multiple strategies to increase long-term flood resilience of an urbanised system. The probabilistic nature of the framework enables the quantification of annual expected damage for combinations of strategies, different measures, and scenarios like climate change, land subsidence and urbanisation. We demonstrate the framework for Ho Chi Minh City, Viet Nam, which ranks among the top ten cities in the world in terms of exposed population affected by climate change. A preferred strategy was identified to increase the city's flood resilience. The case study shows that the framework is capable of quantifying the impact of strategies to increase flood resilience, with specific added value for deltaic areas, where multiple flood forcing factors interact.
Adaptive correction of deterministic models to produce accurate probabilistic forecasts
This paper considers the correction of deterministic forecasts given by a flood forecasting model. A stochastic correction based on the evolution of an adaptive, multiplicative, gain is presented. A number of models for the evolution of the gain are considered and the quality of the resulting probabilistic forecasts assessed. The techniques presented offer a computationally efficient method for providing probabilistic forecasts based on existing flood forecasting system output.
Generating spatial precipitation ensembles : impact of temporal correlation structure
Sound spatially distributed rainfall fields including a proper spatial and temporal error structure are of key interest for hydrologists to force hydrological models and to identify uncertainties in the simulated and forecasted catchment response. The current paper presents a temporally coherent error identification method based on time-dependent multivariate spatial conditional simulations, which are conditioned on preceding simulations. A sensitivity analysis and real-world experiment are carried out within the hilly region of the Belgian Ardennes. Precipitation fields are simulated for pixels of 10 km×10 km resolution. The presented work can be easily implemented within a hydrological calibration and data assimilation framework and can be used as an improvement over currently used simplistic approaches to perturb the interpolated point or spatially distributed precipitation estimates.
Simplification of biotic ligand models of Cu, Ni, and Zn by 1-, 2-, and 3-parameter transfer functions
Biotic ligand models (BLM) fro calculation of water-type specific effect concentrations are a major improvement in risk assessment of heavy metals in surface water. Model complexicity, and data requirement, are an obstruction for regulatory implementation. BLMs were simplified to linear equations to facilitate regulatory use.
Serious gaming in training for crisis response
In this practitioner report, we present the experiences with the use of the serious game Water Coach in a national training for crisis response professionals in the Netherlands. This paper describes the set-up of the training and its learning objectives. We explain the usability of the Water Coach in such a training and the extended functionalities that were required. Finally, the evaluation of the training, in which we focus on the added value of a serious game in the training for crisis response, is presented.
Phytoplankton composition in Dutch coastal waters responds to changes in riverine nutrient loads
Since 1990, The Netherlands has carried out a routine monitoring program in the North Sea, including analysis of phytoplankton composition. An analysis of these data for the period 1990-2007 shows a trend in phytoplankton composition, toward an increase in diatom biomass and increased blooms of several diatom species.
Mud-induced wave damping and wave-induced liquefaction