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Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales

When high levels of urban development, and erratic patterns of high precipitation combine in a small geographical area, there is a significant increase in the risk of human and/or material losses due to flooding and related incidents. With the objective of providing a method for the estimation of pr...

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Autores Principales: Arias, Fernando X., Zambrano, Maytee
Formato: Artículo
Idioma: Inglés
Publicado: KnE Publishing 2018
Acceso en línea: https://knepublishing.com/index.php/KnE-Engineering/article/view/1516
http://ridda2.utp.ac.pa/handle/123456789/4161
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recordtype dspace
spelling RepoUTP41612021-07-06T16:47:32Z Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales Arias, Fernando X. Zambrano, Maytee Arias, Fernando X. Zambrano, Maytee When high levels of urban development, and erratic patterns of high precipitation combine in a small geographical area, there is a significant increase in the risk of human and/or material losses due to flooding and related incidents. With the objective of providing a method for the estimation of precipitation patterns in an area with a high risk of flooding, the current document describes the design and implementation of a neural-network-based system as a potential solution. With the use of TRMM satellite data, and ground station flow measurements in the Juan Díaz river, two models are developed for the estimation of the behavior of these magnitudes: one for estimating precipitation levels based on time, and one that estimates the flow of the river as a function of precipitation.Keywords: modeling, estimation, precipitation, flow, river. 2018-02-11 2018-02-23T17:16:09Z 2018-02-23T17:16:09Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://knepublishing.com/index.php/KnE-Engineering/article/view/1516 10.18502/keg.v3i1.1516 http://ridda2.utp.ac.pa/handle/123456789/4161 eng https://knepublishing.com/index.php/KnE-Engineering/article/view/1516/3306 https://knepublishing.com/index.php/KnE-Engineering/article/view/1516/3597 https://knepublishing.com/index.php/KnE-Engineering/article/view/1516/3598 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/msword application/pdf application/xml KnE Publishing 2518-6841 KnE Engineering; 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017); 963-973
institution Universidad Tecnológica de Panamá
collection Repositorio UTP – Ridda2
language Inglés
description When high levels of urban development, and erratic patterns of high precipitation combine in a small geographical area, there is a significant increase in the risk of human and/or material losses due to flooding and related incidents. With the objective of providing a method for the estimation of precipitation patterns in an area with a high risk of flooding, the current document describes the design and implementation of a neural-network-based system as a potential solution. With the use of TRMM satellite data, and ground station flow measurements in the Juan Díaz river, two models are developed for the estimation of the behavior of these magnitudes: one for estimating precipitation levels based on time, and one that estimates the flow of the river as a function of precipitation.Keywords: modeling, estimation, precipitation, flow, river.
format Artículo
author Arias, Fernando X.
Zambrano, Maytee
Arias, Fernando X.
Zambrano, Maytee
spellingShingle Arias, Fernando X.
Zambrano, Maytee
Arias, Fernando X.
Zambrano, Maytee
Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales
author_sort Arias, Fernando X.
title Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales
title_short Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales
title_full Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales
title_fullStr Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales
title_full_unstemmed Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales
title_sort análisis y estimación de precipitación para modelado de caudal del río juan díaz en el distrito de panamá utilizando redes neuronales
publisher KnE Publishing
publishDate 2018
url https://knepublishing.com/index.php/KnE-Engineering/article/view/1516
http://ridda2.utp.ac.pa/handle/123456789/4161
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score 12.043409

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