Daily rainfall interpolation models obtained by means of genetic programming
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...
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2015-05-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/21564 |
| _version_ | 1797861746583535616 |
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| author | Maritza Liliana Arganis-Juárez Margarita Preciado-Jiménez Katya Rodríguez-Vázquez |
| author_facet | Maritza Liliana Arganis-Juárez Margarita Preciado-Jiménez Katya Rodríguez-Vázquez |
| author_sort | Maritza Liliana Arganis-Juárez |
| collection | DOAJ |
| description |
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.
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| first_indexed | 2024-04-09T22:09:10Z |
| format | Article |
| id | doaj.art-31d78a22e9294ae1b18d3b8de42e1f4b |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:09:10Z |
| publishDate | 2015-05-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-31d78a22e9294ae1b18d3b8de42e1f4b2023-03-23T12:31:04ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442015-05-017510.17533/udea.redin.n75a18Daily rainfall interpolation models obtained by means of genetic programmingMaritza Liliana Arganis-Juárez0Margarita Preciado-Jiménez1Katya Rodríguez-Vázquez2National Autonomous University of MexicoMexican Institute of Water TechnologyNational Autonomous University of Mexico 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. https://revistas.udea.edu.co/index.php/ingenieria/article/view/21564genetic programminginterpolation modelsisohyetgeographic coordinatesdaily rainfall |
| spellingShingle | Maritza Liliana Arganis-Juárez Margarita Preciado-Jiménez Katya Rodríguez-Vázquez Daily rainfall interpolation models obtained by means of genetic programming Revista Facultad de Ingeniería Universidad de Antioquia genetic programming interpolation models isohyet geographic coordinates daily rainfall |
| title | Daily rainfall interpolation models obtained by means of genetic programming |
| title_full | Daily rainfall interpolation models obtained by means of genetic programming |
| title_fullStr | Daily rainfall interpolation models obtained by means of genetic programming |
| title_full_unstemmed | Daily rainfall interpolation models obtained by means of genetic programming |
| title_short | Daily rainfall interpolation models obtained by means of genetic programming |
| title_sort | daily rainfall interpolation models obtained by means of genetic programming |
| topic | genetic programming interpolation models isohyet geographic coordinates daily rainfall |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/21564 |
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