S. J. van Andel

TL;DR: This paper conducts a laboratory-style experiment in which several cases of flood forecasts and a choice of actions to take were presented as part of a game to participants, who acted as decision-makers and the results are presented.

TL;DR: In this paper, the authors explored the use of flow length and travel time as a pre-processing step for incorporating spatial precipitation information into Artificial Neural Network (ANN) models used for river flow forecasting.

TL;DR: Experiences with development of mobile phone demonstrator applications in the water domain in different application areas such as water distribution, hydrological data collection, flood management and water quality information dissemination are presented.

TL;DR: Assimilation of EO actual evapotranspiration data can improve discharge simulation with a spatially distributed hydrological model of a controlled water system and showed that assimilating EO ETa may not only be effective in the more common applications of soil moisture and crop-growth modelling, but also for improving discharge modelling of controlled water systems.

TL;DR: In this paper, an integrated flood modelling approach has been applied in a demonstrator of a flood management system, which was developed within the framework of a collaborative project between Romania and the Netherlands.