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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 ,
A couple of notable publications that use data-driven models in hydrology include "Application of machine learning techniques for rainfall-runoff modelling" by Solomatine and Siek (2004), [34] and "Data-driven modelling approaches for hydrological forecasting and prediction" by Valipour et al. (2021). [35]
The scientific components of the flash flood guidance system use the available real-time data from in-situ gauging stations and from remote sensing platforms, suitably adjusted to reduce bias, together with physically or conceptually based soil water accounting models to produce flash flood guidance estimates of various durations over small ...
MIKE 11 has been used in hundreds of application around the world. Its main application areas are flood analysis and alleviation design, real-time flood forecasting, dam break analysis, optimisation of reservoir and canal gate/structure operations, ecological and water quality assessments in rivers and wetlands, sediment transport and river morphology studies, salinity intrusion in rivers and ...
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.
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 ...
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 ...