Early flood warning and real-time monitoring systems play a key role in flood risk reduction and disaster response decisions. Global-scale flood forecasting and satellite-based flood detection systems are currently operating, however their reliability for decision making applications needs to be assessed. In this study, we performed comparative evaluations of several operational global flood fo...

Effective disaster risk management relies on science-based solutions to close the gap between prevention and preparedness measures. The consultation on the United Nations post-2015 framework for disaster risk reduction highlights the need for cross-border early warning systems to strengthen the preparedness phases of disaster risk management, in order to save lives and property and reduce the o...

Mutual exclusion is directly related to a host of selections at both system and component levels; is responsible for diversification; and gives rise to uniqueness. Mutual exclusion is also evident in modelling and flood forecasting, be it in models, software tools, data, modelling practices, flood forecasting and warning issues, and management systems. The emerging picture is that (i) diversity...

A reliable flood warning system depends on efficient and accurate forecasting technology. A systematic investigation of three common types of artificial neural networks (ANNs) for multi-stepahead (MSA) flood forecasting is presented. The operating mechanisms and principles of the three types of MSA neural networks are explored: multi-input multi-output (MIMO), multi-input single-output (MISO) a...

Fluvial flooding is one of the most catastrophic natural disasters threatening people’s lives and possessions. Flood forecasting systems, which simulate runoff generation and propagation processes, provide information to support flood warning delivery and emergency response. The forecasting models need to be driven by input data and further constrained by historical and real-time observations u...

The dangers of torrents and floods that taken place repeatedly in many countries of the world, Saudi Arabia is one of them, are impossible to be fully prevented or controlled. But it is possible to limit its effects and minimize its losses. That's by defining the endangered places and sitting suitable maps for them as well as conducting researches and studies that enhance the real-time flash fl...

The real time flood forecasting is one of the most effective nonstructural measures for flood management. For formulating the flood forecast in the real time, the observed meteorological and flow data are transmitted to the forecasting station through the different means of data communication which include telephone, wireless and network of telemetry stations etc. The collected meteorological a...

“Hydromax” is the river flow forecasting system for the early warning of extreme hydrological events (floods as well as low waters) in the Meuse river basin and its tributaries. Hydromax provides in real-time short-term predictions of river flows based on past rainfall and river flow measurements, and long-term flood forecasting based on meteorological forecasts. It is now successfully in routi...

The paper presents flood forecasting and simulation system applied to a river flood analysis and risk prediction. An advanced river flood monitoring, modelling and forecasting approach is introduced. It extends the traditional approach based on modelling of river physical processes by integration of different types of models and technologies such as input data clustering and filtering, digital ...