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An example of a hybrid model is coupling a hydrological model with a machine learning algorithm to improve flood prediction accuracy. Hybrid models may also incorporate physical processes into the structure of the machine learning models. [1] Flood forecasting can be mathematically represented as: = (,,,) where: is the flood forecast at time ,
The software incorporates a user interface for building, running and viewing the results of models, including a GIS map interface. The software has been independently benchmarked [1] by the Environment Agency and is used extensively [2] to undertake modelling of flood risk, [3] develop flood risk management schemes and provide flood forecasting ...
A hydrologic model is a simplification of a real-world system (e.g., surface water, soil water, wetland, groundwater, estuary) that aids in understanding, predicting, and managing water resources. Both the flow and quality of water are commonly studied using hydrologic models.
Vflo is suited for distributed hydrologic forecasting in post-analysis and continuous operations. Vflo models may be calibrated by loading precipitation maps for historical events and comparing simulated volume/peak hydrographs to observed hydrographs. Elevation data are taken from a digital elevation model. A vector channel representation is ...
HEPEX is an international initiative bringing together hydrologists, meteorologists, researchers and endusers to develop advanced probabilistic hydrological forecast techniques for improved flood, drought and water management. HEPEX was launched in 2004 as an independent, cooperative international scientific activity.
Each mathematical model included in the program is suitable in different environments and under different conditions. Making the correct choice requires knowledge of the watershed, the goals of the hydrologic study, and engineering judgement. HEC-HMS is a product of the Hydrologic Engineering Center within the U.S. Army Corps of Engineers.
The main aim of CHyM is to provide a general purpose tool for flood alert mapping and hydrological risk management; characteristics of the model also allow to carry out long term simulation to investigate possible changes in hydrological cycle induced by climatic change. CHyM can assimilate different sets of precipitation data merging them in a ...
ANUGA Hydro [3] is a free and open source software tool for hydrodynamic modelling, suitable for predicting the consequences of hydrological disasters such as riverine flooding, storm surges and tsunamis. For example, ANUGA can be used to create predicted inundation maps based on hypothetical tsunami or flood scenarios. The ANUGA name without ...