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dc.contributor.author
Pierini, Jorge Omar
dc.contributor.author
Gomez, Eduardo Alberto
dc.date.available
2017-11-09T15:05:47Z
dc.date.issued
2009-12
dc.identifier.citation
Pierini, Jorge Omar; Gomez, Eduardo Alberto; Tidal forecasting using RNN in Bahia Blanca estuary, Argentina; Interciencia; Interciencia; 34; 12; 12-2009; 851-856
dc.identifier.issn
0378-1844
dc.identifier.uri
http://hdl.handle.net/11336/27855
dc.description.abstract
In recent years, the availability of accurate ocean tide models has become increasingly important, as tides are the main contributor to disposal and movement of sediments, tracers and pollutants, and also due to a wide range of offshore applications in engineering, environmental observations, exploration and oceanography. Tides can be conventionally predicted by harmonic analysis, which is the superposition of many sinusoidal constituents with amplitudes and frequencies determined by a local analysis of the measured tide. However, accurate predictions of tide levels could not be obtained without a large number of tide measurements by the harmonic method. An application of the back-propagation artifcial neural network using long-term and short-term measuring data is presented in this paper. On site tidal level data at Ingeniero White harbor in the inner part of Bahia Blanca estuary, Argentina, will be used to test the performance of the present model. Comparison with conventional harmonic methods indicates that the back-propagation neural network model also predicts accurately the long-term tidal levels.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Interciencia
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Redes Neuronales
dc.subject
Harmonic Analysis
dc.subject
Sea Level
dc.subject
Prediction
dc.subject.classification
Meteorología y Ciencias Atmosféricas
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Tidal forecasting using RNN in Bahia Blanca estuary, Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-11-03T19:03:33Z
dc.journal.volume
34
dc.journal.number
12
dc.journal.pagination
851-856
dc.journal.pais
Venezuela
dc.journal.ciudad
Caracas
dc.description.fil
Fil: Pierini, Jorge Omar. Comision Nacional de Investigacion Cientifica y Tecnologica; Chile. Universidad Nacional del Sur; Argentina
dc.description.fil
Fil: Gomez, Eduardo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Tecnológica Nacional; Argentina
dc.journal.title
Interciencia
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.redalyc.org/pdf/339/33913151003.pdf
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