Daily rainfall interpolation models obtained by means of genetic programming
Journal Title: Revista Facultad de Ingeniería-Universidad de Antioquia - Year 2015, Vol 1, Issue 75
Abstract
The evolutionary computing algorithm of genetic programming (GP) was applied to obtain mathematical daily rainfall interpolation models in one climatologic station, using the measured data in nearby stations in Cutzamala River basin in Mexico. The obtained models take into account both the geographical coordinates of the climatologic station and also the elevation; the answer of these models was compared against those obtained by means of multiple linear regression, giving genetic programming models a better performance with respect to the multiple linear regression. Isohyets maps were then obtained to compare the spatial shapes between measured and calculated rainfall data in Cutzamala River Basin for a maximum historic storm recorded in year 2006, showing an adequate agreement of the results in case of rainfalls greater than 23 mm. Genetic programming represents a useful practical tool for approaching mathematical models of variables applied in engineering problems and new models could be obtained in several basins by applying these algorithms.
Authors and Affiliations
Maritza Liliana ARGANIS JUAREZ, Margarita PRECIADO JIMÉNEZ, Katya Rodríguez-Vázquez
Keywords
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