Flood forecasting
Flood forecasting is the use of forecasted precipitation and streamflow data in rainfall-runoff and streamflow routing 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.
References
- "AMS Glossary". allenpress.com. Archived from the original on 16 July 2012. Retrieved 9 July 2015.
- Chang, Li-Chiu; Shen, Hung-Yu; Chang, Fi-John (2014-11-27). "Regional flood inundation nowcast using hybrid SOM and dynamic neural networks". Journal of Hydrology. 519 (Part A): 476–489. doi:10.1016/j.jhydrol.2014.07.036.
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.