Hydrologic modelling using entropy
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abstract
The theory of entropy developed in communication and information sciences has recently been found to have wide ranging applications in hydrology and water resources. This paper surveys some of these applications with particular reference to derivation of frequency distributions, parameter estimation, evaluation of data acquisition systems, design of rainfall networks, rainfall-runoff modelling, modelling of sediment yield and pollutant loading and assessment of uncertainty. It is shown that entropy offers a unified approach to derivation of a number of frequency distributions used for hydrologic analysies. Entropy measures uncertainty of a mathematical model of the hydrologic system, and is thus applicable to choosing between models and designing hydrologic networks for data collection.