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

dc.contributor		en-US
dc.creator	Arias, Fernando X.
dc.creator	Zambrano, Maytee
dc.creator	Arias, Fernando X.
dc.creator	Zambrano, Maytee
dc.date	2018-02-11
dc.date.accessioned	2018-02-23T17:16:09Z
dc.date.available	2018-02-23T17:16:09Z
dc.identifier	https://knepublishing.com/index.php/KnE-Engineering/article/view/1516
dc.identifier	10.18502/keg.v3i1.1516
dc.identifier.uri	http://ridda2.utp.ac.pa/handle/123456789/4161
dc.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.	en-US
dc.format	application/msword
dc.format	application/pdf
dc.format	application/xml
dc.language	eng
dc.publisher	KnE Publishing	en-US
dc.relation	https://knepublishing.com/index.php/KnE-Engineering/article/view/1516/3306
dc.relation	https://knepublishing.com/index.php/KnE-Engineering/article/view/1516/3597
dc.relation	https://knepublishing.com/index.php/KnE-Engineering/article/view/1516/3598
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	https://creativecommons.org/licenses/by/4.0/
dc.source	2518-6841
dc.source	KnE Engineering; 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017); 963-973	en-US
dc.title	Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales	en-US
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion

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2017: 6th Engineering, Science and Technology Conference - Panama (ESTEC 2017) [115]
6th Engineering, Science and Technology Conference (ESTEC 2017) organized by the Universidad Tecnologica de Panama (UTP)

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