Dynamic Data Driven approach to improve theperformance of a river simulation

Abstract

In this research we incorporate the contributions of the dynamic data driven systems development that is based on the possibility of incorporating data obtained in real time into an executing application, in particular a simulation. This paper reports on the first phase of our research in which we have used this idea to enhance the simulation quality of a river flow simulator by dynamic data inputs during the computational execution. We had presented an optimization methodology of this simulator model in previous works but in this opportunity, we could handle those time periods when a sudden level change takes place inthe river and we could improve the forecasting prediction. These results are the path towards the development of an automatic calibration framework fed with real-time data.