Spatially distributed flood forecasting in flash flood prone areas: Application to road network supervision in Southern France

A spatially distributed flash flood forecasting model

This paper presents a distributed model that is in operational use for forecasting flash floods in northern Austria. The main challenge in developing the model was parameter identification which was addressed by a modelling strategy that involved a model structure defined at the model element scale and multi-source model identification. The model represents runoff generation on a grid basis and...

Flash Flood Forecasting: An Ingredients-Based Methodology

An approach to forecasting the potential for flash flood–producing storms is developed, using the notion of basic ingredients. Heavy precipitation is the result of sustained high rainfall rates. In turn, high rainfall rates involve the rapid ascent of air containing substantial water vapor and also depend on the precipitation efficiency. The duration of an event is associated with its speed of ...

Mapping the flood-prone areas for developing a flood risk management system in the northeast of Iran

New Methods of Flash Flood Forecasting in the Czech Republic

In June/July 2009 the weather in the Czech Republic was influenced by a 12 days lasting baric low located over Mediterranean, which resulted in a sequence of many flash foods. The total damage was estimated to be about 200 mil. EUR and 15 people died. Although the flash flood is considered as hardly predictable phenomena, first efforts in flash floods forecasting have been already done [1]. Som...

Study of Beijiang catchment flash-flood forecasting model

Beijiang catchment is a small catchment in southern China locating in the centre of the storm areas of the Pearl River Basin. Flash flooding in Beijiang catchment is a frequently observed disaster that caused direct damages to human beings and their properties. Flood forecasting is the most effective method for mitigating flash floods, the goal of this paper is to develop the flash flood foreca...