Flood forecasting is a complex problem that requires cooperation of many scientists in different areas. In this paper, the concept of a Collaborative Problem Solving Environment for Flood Forecasting – a part of the CrossGrid project is presented. This paper also focuses on the parallel numerical solution of hydraulic simulation module that is one the most computational-intensive parts of the w...

Flood risk can be reduced by means of flood forecasting, warning and response systems (FFWRS). These systems include a forecasting subsystem which is imperfect, meaning that inherent uncertainties in hydrological forecasts may result in false alarms and missed events. This forecasting uncertainty decreases the potential reduction of flood risk, but is seldom accounted for in estimates of the be...

Environmental monitoring is the most popular application of wireless sensor networks (WSNs). At present, WSNs have been used for a number of applications such as soil moisture monitoring, solar radiation mapping, aquatic monitoring, glacial control and climate change, and forest fire alarm. The ability to place autonomous and low cost nodes in large harsh environments without communication infr...

Information is provided about the approach and experience in flood management in the Damodar river basin of India. This is achieved through a scheme for the integrated operation of a number of reservoirs on that river and on its tributaries for the purpose of irrigation, hydropower generation and flood protection. Of particular interest is the recent change in policy towards a multi-disciplinar...

The area of the Dansuie River watershed located in the northern Taiwan is 2,726 km. The main stream runs 159km through the Taipei metropolitan areas as the political, economic, and cultural centers of Taiwan. Owing to short and steep runoff path-lines and non-uniform rainfall patterns, large floods arrive rapidly in the middle-to-downstream reaches of the watershed, causing serious damage. In o...

Information is provided on the approach and experience in flood management in the Piemonte Region. Actual practices comprise mainly: (i) the structural mitigation of floods; and (ii) non-structural safety measures subdivided into land use planning and emergency plan activation through hydrometeorological forecasting and the development of an Alert System for flood forecasting and warning. Of pa...

A framework for short-term probabilistic forecasting of watershed flood stage conditions using a distributed rainfall-runoff model is proposed. A stochastic rainfall pattern simulation model capable of generating input for a distributed rainfall-runoff model is developed. Generation of rainfall patterns over a 6-hour period is achieved using a translation vector rainfall forecasting process mod...

This paper considers the correction of deterministic forecasts given by a flood forecasting model. A stochastic correction based on the evolution of an adaptive, multiplicative, gain is presented. A number of models for the evolution of the gain are considered and the quality of the resulting probabilistic forecasts assessed. The techniques presented offer a computationally efficient method for...

In this paper, Multi-Layer Perceptron and RadialBasis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountainous Nysa Klodzka river catchment. It turned out that the Radial-Basis Function Neural Network is the best model for 3and 6-h lead time prediction and the only reliable one for 9-h lead time forecas...

This paper presents a prototype of a flood forecasting system based on Grid computing. Flood forecasting is a complex problem that requires cooperation and coupling of many simulation models. To enable this coupling in an effective way, a part of the CrossGrid project is aimed towards developing a Grid Computing Environment (GCE) for flood forecasting, as described here. The Grid computing envi...