- author = "Maritza Liliana {Arganis Juarez} and Margarita {Preciado-Jimenez} and Katya {Rodriguez-Vazquez}",
- title = "Daily rainfall interpolation models obtained by means of genetic programming",
- journal = "Revista Facultad de Ingenieria Universidad de Antioquia",
- year = "2015",
- number = "75",
- pages = "189--201",
- month = may,
- keywords = "genetic algorithms, genetic programming, daily rainfall, genetic programming, interpolation models, isohyet, geographic coordinates, Co Kriging, missing data, Matlab, 29 July 2006",
- ISSN = "0120-6230",
-
URL = "
https://revistas.udea.edu.co/index.php/ingenieria/article/view/21564/18766",
-
DOI = "
doi:10.17533/udea.redin.n75a18",
- size = "13 pages",
- abstract = "The evolutionary computing algorithm of genetic programming 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 its elevation; the answer of these models was compared against those obtained by means of multiple linear regression and a nonlinear model with parameters obtained with genetic algorithms; genetic programming models gave the best performance. 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 2006 year, showing an adequate agreement of the results in case of rainfalls greater than 23 mm. Genetic programming represent 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.",
- resumen = "Se aplico el algoritmo de computo evolutivo de programacion genetica (PG) para obtener modelos matematicos de interpolacion de precipitacion diaria en una estacion climatologica, utilizando datos medidos en las estaciones cercanas a la cuenca del Rio Cutzamala en Mexico. Los modelos obtenidos toman en cuenta tanto las coordenadas geograficas de las estaciones climatologicas como su elevacion; la respuesta de los modelos se comparo contra los resultados obtenidos con ayuda de regresiones lineales multiples, presentando un mejor desempeno programacion genetica. Adicionalmente, se construyeron mapas de isoyetas para comparar las formas espaciales entre los datos de precipitacion medidos y calculados en la cuenca del Rio Cutzamala para una tormenta maxima historica registrada en el ano 2006, observandose concordancia en los resultados en el caso de precipitaciones mayores de 23 mm. La programacion genetica representa una herramienta de utilidad practica para aproximar modelos matematicos de variables aplicadas en problemas de ingenieria y se pueden obtener nuevos modelos en distintas cuencas al aplicar estos algoritmos.",
-
notes = "UNAM, Instituto de Ingenieria, Facultad de Ingenieria,
Universidad Nacional Autonoma de Mexico
p199 'Using the GP model (eq 3) also gave higher correlations than those used with the simple regression model'",
