Article ID Journal Published Year Pages File Type
430336 Journal of Computational Science 2015 9 Pages PDF
Abstract

•Integration of different types of models and technologies for flood monitoring.•A real-time flood monitoring and forecasting system is proposed.•Heterogeneous data processing and integration.•A case study for short-term river flood forecasting is given.•Experimental results show a high forecasting accuracy.

The paper presents the state-of-the-art in flood forecasting and simulation applied to a river flood analysis and risk prediction. Different water flow forecasting and river simulation models and systems are analysed. An advanced river flood monitoring, modelling and forecasting approach is introduced. It extends the traditional approach based on modelling river physical processes by integration of different types of models and technologies such as input data clustering and filtering, digital maps of a relief and river terrain, data crowdsourcing, heterogeneous data processing, hydrological models for time scale modelling water flows and geo-simulation, inundation visualisation and duly warning on flooding. A case study on river flow forecasting and simulation for river flood risk analysis and management is given.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Authors
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