Using Artificial Neural Networks to predict monthly precipitation for the Cali river basin, Colombia
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional de Colombia
2019
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| _version_ | 1876470672305160192 |
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| author | Daniel David Montenegro-Murillo |
| author_facet | Daniel David Montenegro-Murillo |
| contents | Using Artificial Neural Networks to predict monthly precipitation for the Cali river basin, Colombia Daniel David Montenegro-Murillo Mayra Alejandra Pérez-Ortiz Viviana Vargas-Franco Ingeniería Downscaling climate change scenarios Artificial Neural Networks Studying future precipitation behavior in river basins is essential for adequate land-use planning within them, as this will help to reduce vulnerability and mitigate disasters. This study analyzed climate change scenarios in the Cali river basin using a monthly rainfall database from 35 stations and General Circulation Models (GCMs) from the CMIP5 data set. Statistical downscaling was performed on the data at RCP 2.6, 4.5 and 8.5 using Artificial Neural Networks. Subsequently, the changes that would take place by the year 2100 were analyzed, establishing that the different scenarios show that over the coming years, rainfall will move from the upper areas to the middle and lower areas of the river basin. 2019 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49663345014 https://www.redalyc.org/journal/496/49663345014/ https://www.redalyc.org/journal/496/49663345014/html/ https://www.redalyc.org/journal/496/49663345014/49663345014.epub https://www.redalyc.org/journal/496/49663345014/movil 10.15446/dyna.v86n211.7607 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.211 Vol.86 |
| format | Artículo científico |
| id | redalyc_49663345014 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Using Artificial Neural Networks to predict monthly precipitation for the Cali river basin, Colombia Daniel David Montenegro-Murillo Ingeniería Downscaling climate change scenarios Artificial Neural Networks Using Artificial Neural Networks to predict monthly precipitation for the Cali river basin, Colombia Daniel David Montenegro-Murillo Mayra Alejandra Pérez-Ortiz Viviana Vargas-Franco Ingeniería Downscaling climate change scenarios Artificial Neural Networks Studying future precipitation behavior in river basins is essential for adequate land-use planning within them, as this will help to reduce vulnerability and mitigate disasters. This study analyzed climate change scenarios in the Cali river basin using a monthly rainfall database from 35 stations and General Circulation Models (GCMs) from the CMIP5 data set. Statistical downscaling was performed on the data at RCP 2.6, 4.5 and 8.5 using Artificial Neural Networks. Subsequently, the changes that would take place by the year 2100 were analyzed, establishing that the different scenarios show that over the coming years, rainfall will move from the upper areas to the middle and lower areas of the river basin. 2019 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49663345014 https://www.redalyc.org/journal/496/49663345014/ https://www.redalyc.org/journal/496/49663345014/html/ https://www.redalyc.org/journal/496/49663345014/49663345014.epub https://www.redalyc.org/journal/496/49663345014/movil 10.15446/dyna.v86n211.7607 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.211 Vol.86 |
| title | Using Artificial Neural Networks to predict monthly precipitation for the Cali river basin, Colombia |
| topic | Ingeniería Downscaling climate change scenarios Artificial Neural Networks |
| url | https://www.redalyc.org/articulo.oa?id=49663345014 https://www.redalyc.org/journal/496/49663345014/ https://www.redalyc.org/journal/496/49663345014/html/ https://www.redalyc.org/journal/496/49663345014/49663345014.epub https://www.redalyc.org/journal/496/49663345014/movil |