Early flood warning system for the Arauca river based on artificial intelligence techniques
This article establishes the design of an early warning system for flooding in the Arauca River, in the municipality of Arauca, Colombia. The information corresponding to this study is extracted from the IDEAM and is processed obtaining a model through the variables that intervene such as precipitat...
- Autores:
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_6573
- Fecha de publicación:
- 2022
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/10401
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/15274
https://repositorio.uptc.edu.co/handle/001/10401
- Palabra clave:
- flood;
water level;
mathematical model;
early warnings
inundación;
nivel de agua;
modelo matemático;
alerta temprana
- Rights
- License
- Derechos de autor 2022 Revista de Investigación, Desarrollo e Innovación