Calibrating Conceptual Rainfall Runoff Models using Artificial Intelligence
نویسندگان
چکیده
منابع مشابه
Artificial neural networks as rainfall- runoff models
A series of numerical experiments, in which flow data were generated from synthetic storm sequences routed through a conceptual hydrological model consisting of a single nonlinear reservoir, has demonstrated the closeness of fit that can be achieved to such data sets using Artificial Neural Networks (ANNs). The application of different standardization factors to both training and verification s...
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Conceptual mathematical models are a useful tool for rainfallrunoff modelling of a basin. The calibration of such models has attracted the attention of a number of hydrologists since unique and optimal parameters are difficult to obtain. The calibration of a conceptual model is discussed through a simple conceptual model whose parameters are determined using a search technique. It is shown that...
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The paper presents a comparison of lumped runoff modelling approaches, aimed at the realtime forecasting of flood events, based on or integrating Artificial Neural Networks (ANNs). ANNs are used in two ways: (a) as black-box type runoff simulation models or (b) for the real-time improvement of the discharge forecasts issued by a conceptual-type rainfall-runoff model. As far as the coupling of A...
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Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. They are able to map underlying relationships between input and output data without detailed knowle...
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A new approach to regionalisation for prediction of flow characteristics in ungauged catchments is presented. If flows in ungauged catchments are to be predicted using calibrated rainfall-runoff models, regional relationships between the parameters of such models and catchment attributes must be determined. This is only possible with parsimonious models (fewer than about 7 parameters), and even...
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ژورنال
عنوان ژورنال: Journal of Environmental Science and Technology
سال: 2016
ISSN: 1994-7887
DOI: 10.3923/jest.2016.257.267