Rainfall Interpolation Models Obtained By Means Of Evolutionary Computing
Maritza Liliana Arganis Juárez, Margarita Preciado, Katya Rodríguez, Alfredo Ocón, Ramón Domínguez Mora · CUNY Academic Works (City University of New York) · 2014
Complete missing records is a matter of great importance in hydrology problems. In this work we applied genetic algorithms and genetic programming models for precipitation in Cutzamala River Basin, Mexico, such models depend on the geographical coordinates and altitude of climatologic stations currently in operation. The obtained models were applied to interpolate 24 hours rainfalls for three analyzed storms. The Genetic programming model outperformed the genetic algorithm in the estimation of precipitation 24 hours estimated on a site, with respect to the measured data.