Hydrological Prediction Coordinates.

Descripción del Articulo

The objective of this work is to show the current vices of hydrological studies consisting of the use of daily rainfall information and return time as an independent variable in the design of hydraulic structures projects related to the evacuation of rainwater from direct runoff; always citing lack...

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Detalles Bibliográficos
Autores: Vera, O.O., Fabián, J.C.T.
Formato: objeto de conferencia
Fecha de Publicación:2019
Institución:Universidad Nacional de Cajamarca
Repositorio:UNC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.unc.edu.pe:20.500.14074/9718
Enlace del recurso:http://hdl.handle.net/20.500.14074/9718
https://doi.org/10.3850/38WC092019-0839
Nivel de acceso:acceso abierto
Materia:Triad prediction
Risk
Prediction horizon
https://purl.org/pe-repo/ocde/ford#1.05.11
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spelling Vera, O.O.Fabián, J.C.T.Calvo, L.2026-02-18T16:59:26Z2026-02-18T16:59:26Z2019http://hdl.handle.net/20.500.14074/9718https://doi.org/10.3850/38WC092019-0839The objective of this work is to show the current vices of hydrological studies consisting of the use of daily rainfall information and return time as an independent variable in the design of hydraulic structures projects related to the evacuation of rainwater from direct runoff; always citing lack of pluviographic information and confusing the historical return time with the prediction time, all of which seriously affects the sizing of said structures. With the aim of correcting such vices, information from the storm analysis and predictive return time in the probabilistic modeling process was used here. The results of the probabilistic simulation show that, for the same prediction horizon and the same period of standard duration of rainfall intensity, the value of the intensity grows very rapidly while the risk of prediction decreases and vice versa, or what is the same, the predictive return time is very sensitive to the probability of success and grows as it grows, tending rapidly to infinity; from which it follows that the prediction triad is made up of return time, risk and prediction horizon.application/pdfengInternational Association for Hydro-Environment Engineering and Research.https://www.scopus.com/pages/publications/85167836665urn:issn: 25217119Proc. IAHR World Congr. 2019; 3836 - 3845info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Triad predictionRiskPrediction horizonhttps://purl.org/pe-repo/ocde/ford#1.05.11Hydrological Prediction Coordinates.info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:UNC-Institucionalinstname:Universidad Nacional de Cajamarcainstacron:UNC20.500.14074/9718oai:repositorio.unc.edu.pe:20.500.14074/97182026-02-26 11:55:48.886Universidad Nacional de Cajamarcarepositorio@unc.edu.pe
dc.title.es_PE.fl_str_mv Hydrological Prediction Coordinates.
title Hydrological Prediction Coordinates.
spellingShingle Hydrological Prediction Coordinates.
Vera, O.O.
Triad prediction
Risk
Prediction horizon
https://purl.org/pe-repo/ocde/ford#1.05.11
title_short Hydrological Prediction Coordinates.
title_full Hydrological Prediction Coordinates.
title_fullStr Hydrological Prediction Coordinates.
title_full_unstemmed Hydrological Prediction Coordinates.
title_sort Hydrological Prediction Coordinates.
author Vera, O.O.
author_facet Vera, O.O.
Fabián, J.C.T.
author_role author
author2 Fabián, J.C.T.
author2_role author
dc.contributor.editor.es_PE.fl_str_mv Calvo, L.
dc.contributor.author.fl_str_mv Vera, O.O.
Fabián, J.C.T.
dc.subject.es_PE.fl_str_mv Triad prediction
Risk
Prediction horizon
topic Triad prediction
Risk
Prediction horizon
https://purl.org/pe-repo/ocde/ford#1.05.11
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.11
description The objective of this work is to show the current vices of hydrological studies consisting of the use of daily rainfall information and return time as an independent variable in the design of hydraulic structures projects related to the evacuation of rainwater from direct runoff; always citing lack of pluviographic information and confusing the historical return time with the prediction time, all of which seriously affects the sizing of said structures. With the aim of correcting such vices, information from the storm analysis and predictive return time in the probabilistic modeling process was used here. The results of the probabilistic simulation show that, for the same prediction horizon and the same period of standard duration of rainfall intensity, the value of the intensity grows very rapidly while the risk of prediction decreases and vice versa, or what is the same, the predictive return time is very sensitive to the probability of success and grows as it grows, tending rapidly to infinity; from which it follows that the prediction triad is made up of return time, risk and prediction horizon.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2026-02-18T16:59:26Z
dc.date.available.none.fl_str_mv 2026-02-18T16:59:26Z
dc.date.issued.fl_str_mv 2019
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/publishedVersion
format conferenceObject
status_str publishedVersion
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.14074/9718
dc.identifier.doi.es_PE.fl_str_mv https://doi.org/10.3850/38WC092019-0839
url http://hdl.handle.net/20.500.14074/9718
https://doi.org/10.3850/38WC092019-0839
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartof.es_PE.fl_str_mv https://www.scopus.com/pages/publications/85167836665
urn:issn: 25217119
Proc. IAHR World Congr. 2019; 3836 - 3845
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv International Association for Hydro-Environment Engineering and Research.
dc.source.none.fl_str_mv reponame:UNC-Institucional
instname:Universidad Nacional de Cajamarca
instacron:UNC
instname_str Universidad Nacional de Cajamarca
instacron_str UNC
institution UNC
reponame_str UNC-Institucional
collection UNC-Institucional
repository.name.fl_str_mv Universidad Nacional de Cajamarca
repository.mail.fl_str_mv repositorio@unc.edu.pe
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