Flood forecasting

Flood forecasting is the use of forecasted precipitation and streamflow data in rainfall-runoff and models to forecast flow rates and water levels for periods ranging from a few hours to days ahead, depending on the size of the watershed or river basin.^[1] Flood forecasting can also make use of forecasts of precipitation in an attempt to extend the lead-time available.

Flood forecasting is an important component of flood warning, where the distinction between the two is that the outcome of flood forecasting is a set of forecast time-profiles of channel flows or river levels at various locations, while "flood warning" is the task of making use of these forecasts to tell decisions on warnings of floods.

Real-time flood forecasting at regional area can be done within seconds by using the technology of artificial neural network.^[2] Effective real-time flood forecasting models could be useful for early warning and disaster prevention.

See also[]

• Runoff model (reservoir)
• Flood alert
• Flood Modeller Pro

References[]

External links[]

• Application of self-organising maps and multi-layer perceptron-artificial neural networks for streamflow and water level forecasting in data-poor catchments: the case of the Lower Shire floodplain, Malawi
• Delft-FEWS, state of the art system for flood forecasting and operational water management (most advanced system available, used on national scale in Europe and the USA)
• RainOff, a conceptual rainfall-runoff model using a nonlinear reservoir
• hepex.org the Hydrologic Ensemble Prediction EXperiment, an informal yet highly active group of researchers in the field of predictive hydrologic uncertainty.

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