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Genetic Programming and Standardization in Water Temperature Modelling

An application of Genetic Programming (an evolutionary computational tool) without and with standardization data is presented with the aim of modeling the behavior of the water temperature in a river in terms of meteorological variables that are easily measured, to explore their explanatory power an...

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Published in:Advances in civil engineering 2009-01, Vol.2009 (2009), p.1-10
Main Authors: Arganis, Maritza, Val, Rafael, Prats, Jordi, Rodríguez, Katya, Domínguez, Ramón, Dolz, Josep
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description An application of Genetic Programming (an evolutionary computational tool) without and with standardization data is presented with the aim of modeling the behavior of the water temperature in a river in terms of meteorological variables that are easily measured, to explore their explanatory power and to emphasize the utility of the standardization of variables in order to reduce the effect of those with large variance. Recorded data corresponding to the water temperature behavior at the Ebro River, Spain, are used as analysis case, showing a performance improvement on the developed model when data are standardized. This improvement is reflected in a reduction of the mean square error. Finally, the models obtained in this document were applied to estimate the water temperature in 2004, in order to provide evidence about their applicability to forecasting purposes.
doi_str_mv 10.1155/2009/353960
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source Wiley Online Library; Publicly Available Content Database
subjects Aquatic life
Civil engineering
Mutation
Optimization algorithms
Standard deviation
Standardization
Studies
Water quality
Weather
title Genetic Programming and Standardization in Water Temperature Modelling
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