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  2. Hydroinformatics - Wikipedia

    en.wikipedia.org/wiki/Hydroinformatics

    Hydroinformatics draws on and integrates hydraulics, hydrology, environmental engineering and many other disciplines. It sees application at all points in the water cycle from atmosphere to ocean, and in artificial interventions in that cycle such as urban drainage and water supply systems. It provides support for decision making at all levels ...

  3. Hydrological model - Wikipedia

    en.wikipedia.org/wiki/Hydrological_model

    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.

  4. Hydrological transport model - Wikipedia

    en.wikipedia.org/wiki/Hydrological_transport_model

    Commonly used techniques are regression, transfer functions, neural networks and system identification. These models are known as stochastic hydrology models. Data based models have been used within hydrology to simulate the rainfall-runoff relationship, represent the impacts of antecedent moisture and perform real-time control on systems.

  5. Artificial Intelligence for Environment & Sustainability

    en.wikipedia.org/wiki/Artificial_Intelligence_for...

    Artificial Intelligence for Environment & Sustainability (ARIES) is an international non-profit research project hosted by the Basque Centre for Climate Change (BC3) headquartered in Bilbao, Spain. [1] It was created to integrate scientific computational models for environmental sustainability assessment and policy-making, [2] [3] [4] through ...

  6. Storm Water Management Model - Wikipedia

    en.wikipedia.org/wiki/Storm_Water_Management_Model

    The water quality constituents such as water quality constituents can be simulated from buildup on the subcatchments through washoff to a hydraulic network with optional first order decay and linked pollutant removal, best management practice and low-impact development (LID) [9] removal and treatment can be simulated at selected storage nodes.

  7. Routing (hydrology) - Wikipedia

    en.wikipedia.org/wiki/Routing_(hydrology)

    In hydrology, routing is a technique used to predict the changes in shape of a hydrograph as water moves through a river channel or a reservoir. In flood forecasting, hydrologists may want to know how a short burst of intense rain in an area upstream of a city will change as it reaches the city. Routing can be used to determine whether the ...

  8. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    OpenCog, a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme. [15] PolyAnalyst: A commercial tool for data mining, text mining, and knowledge management. [89] RapidMiner, an environment for machine learning and data mining, now developed commercially. [90]

  9. Category:Water resources management - Wikipedia

    en.wikipedia.org/wiki/Category:Water_resources...

    Water resources management is the use of structural measures - such as dams, canals or treatment plants - and nonstructural measures - such as pricing, standards or permits - to control natural and human-made freshwater resources systems - such as rivers, lakes, artificial reservoirs, wetlands and groundwater - for beneficial uses.

  1. Related searches list of artificial intelligence techniques in hydrology and water resources management

    artificial intelligence for sustainabilitytypes of hydrological models