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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 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.
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.
A key component of a hydrological transport model is the surface runoff element, which allows assessment of sediment, fertilizer, pesticide and other chemical contaminants. Building on the work of Horton, the unit hydrograph theory was developed by Dooge in 1959. [ 18 ]
The procedure is specifically known as Flood routing, if the flow is a flood. [14] [15] After Routing, the peak gets attenuated & a time lag is introduced. In order to determine the change in shape of a hydrograph of a flood as it travels through a natural river or artificial channel, different flood simulation techniques can be used.
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.
One of the more significant aspects of hydrometeorology involves predictions about and attempts to mitigate the effects of high precipitation events. [2] There are three primary ways to model meteorological phenomena in weather forecasting, including nowcasting, numerical weather prediction, and statistical techniques. [3]
The urban model included a dam break scenario with flood water passing through a residential area. The model was found to have: "The ability to construct a model with elements varying in size to suit the features being modelled permitted flow behaviour to be simulated realistically and at a level of local detail that structured grid models ...