Estimating the benefits of single value and probability forecasting for flood warning

Flood risk can be reduced by means of flood forecasting, warning and response systems (FFWRS). These systems include a forecasting sub-system 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,...

Estimating the benefits of single value and probability forecasting for flood warning

Flood risk can be reduced by means of flood forecasting, warning and response systems (FFWRS). These systems include a forecasting sub-system which is imperfect, meaning that inherent uncertainties in hydrological forecasts may result in false alarms and missed floods, or surprises. This forecasting uncertainty decreases the potential reduction...

FEWS NL: Operationeel voorspellingsysteem voor de Maas en Rijn: versie 1.0

Spatial flood extent modelling. A performance based comparison

The rapid development of Geographical Information Systems (GIS) has together with the inherent spatial nature of hydrological modelling led to an equally rapid development in the integration between GIS and hydrological models. The advantages of integration are particularly apparent in flood extent modelling. In this thesis, the integration of...

FEWS Maas: Versie 1.0

A comparison of flood extent modelling approaches through constraining uncertainties on gauge data

A comparison is made of 1D, 2D and integrated 1D-2D hydraulic models in predicting flood stages in a 17 km reach of the River Saar in Germany. The models perform comparably when calibrated against limited data available from a single gauge in the reach for three low to medium flood events. In validation against a larger event than those used in...

Reduction of Monte-Carlo simulation runs for uncertainty estimation in hydrological modelling

Toepassing BASELINE voor de Saar rivier