Virtual Dike: multiscale simulation of dike stability

We present a Virtual Dike simulation module developed as a part of a flood Early Warning System (EWS) for the UrbanFlood project. The UrbanFlood EWS is a distributed system that analyzes sensor data received in real-time from flood defenses (dikes, dams, etc.) and simulates dike stability, breaching and flood propagation. The aim of the Virtual Dike module is to develop an advanced multiscale multiphysics simulation laboratory for expert users and numerical model developers. This lab is used to validate simulation models, to plan experiments and to investigate physical processes influencing dike stability and failure. In the first stage of the project, we have studied the structural stability of the Live Dike, a dike protecting a seaport in Groningen, the Netherlands. The four cross-sections of the dike are equipped with sensors of pore pressure and inclination. For each section, 2D simulations of flow through porous media and dike deformations have been performed under tidal water load. Simulation results have been compared with the sensors data in order to calibrate soil properties. Pore pressure, stress dynamics and structural stability of the dike have been analyzed

Flood early warning system: sensors and internet

The UrbanFlood early warning system (EWS) is designed to monitor data from very large sensornetworks in flood defences such as embankments, dikes, levees, and dams. The EWS, based on the internet, uses real-time sensor information and Artificial Intelligence (AI) to immediately calculate the probability of dike failure, the ensuing scenarios of dike breaching, predicted flood spreading and escape routes for people from the affected areas. Results are presented on interactive decision support systems that assist flood defence managers and public authorities during flood events. It can also be applied for policy development and for everyday dike condition assessment. The separate Virtual Dike module can be used for advanced research into failure mechanisms and dike stability. By consulting international stakeholders the designers ensured that the EWS is well aligned with user requirements

Flood early warning system: design, implementation and computational modules

AbstractWe present a prototype of the flood early warning system (EWS) developed within the UrbanFlood FP7 project. The system monitors sensor networks installed in flood defenses (dikes, dams, embankments, etc.), detects sensor signal abnormalities, calculates dike failure probability, and simulates possible scenarios of dike breaching and flood propagation. All the relevant information and simulation results are fed into an interactive decision support system that helps dike managers and city authorities to make informed decisions in case of emergency and in routine dike quality assessment. In addition to that, a Virtual Dike computational module has been developed for advanced research into dike stability and failure mechanisms, and for training the artificial intelligence module on signal parameters induced by dike instabilities. This paper describes the UrbanFlood EWS generic design and functionality, the computational workflow, the individual modules, their integration via the Common Information Space middleware, and the first results of EWS monitoring and performance benchmarks