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A preliminary analysis for selecting the best hydrological probability density functions of annual peak flows associated to various return periods in some rivers of Colombia

dc.contributor.authorCoronado Hernández, Óscar Enrique
dc.contributor.authorRamos-Urzola, Julio
dc.contributor.authorJulio-Amigo, Luis F.
dc.contributor.authorCoronado Hernández, Óscar Enrique
dc.contributor.authorGatica, Gustavo
dc.contributor.authorMercado-Caruso, Nohora
dc.coverage.spatialColombia
dc.date.accessioned2022-03-25T15:11:04Z
dc.date.available2022-03-25T15:11:04Z
dc.date.issued2021-11-01
dc.date.submitted2022-03-24
dc.identifier.citationCoronado, Oscar & Ramos-Urzola, Julio & Julio-Amigo, Luis & Coronado-Hernandez, Jairo R. & Gatica, Gustavo & Mercado Caruso, Nohora. (2022). A preliminary analysis for selecting the best hydrological probability density functions of annual peak flows associated to various return periods in some rivers of Colombia. Procedia Computer Science. 198. 560-565. 10.1016/j.procs.2021.12.286.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10643
dc.description.abstractAnalysis of extreme events of annual flow peaks are used for sizing hydraulic structures for specified return period. Cumulative distribution functions are applied to annual flow peak records in order to obtain extreme values with different return periods. In Colombia, when performing a frequency analysis, hydrological planners often do not know a priori the best cumulative distribution function for making analysis. In the present research, annual flow peak records from 49 hydrometric stations located in important rivers were collected, with the objective of determining the most representative cumulative distribution function. The best results were achieved using the generalized extreme value (GEV) cumulative distribution function with the maximum likelihood methodspa
dc.format.extent6 Páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceProcedia Computer Science 198 (2022) 560–565spa
dc.titleA preliminary analysis for selecting the best hydrological probability density functions of annual peak flows associated to various return periods in some rivers of Colombiaspa
dcterms.bibliographicCitationChow V.T., D.R. Maidment, L.W. Mays. “Applied Hydrology”, McGraw-Hill, Colombia, Bogotá (1994)spa
dcterms.bibliographicCitationClarke R. T, R. Dias de Paiva, C. Bertacchi. “Comparison of methods for analysis of extremes when records are fragmented:A case study using Amazon basin rainfall data” Journal of Hydrology (2009), pp. 26-29spa
dcterms.bibliographicCitationArnaez J., T. Lasanta, P. Ruiz-Flan, L. Ortigosa. “Factors affecting runoff and erosion under simulated rainfall in Mediterranean vineyards.” Soil & Tillage Research (2007), pp. 324-334spa
dcterms.bibliographicCitationYang T., Q. Shao, Z.C. Hao, X. Chen, Z. Zhang, C-Y Xu, L. Sun. “Regional frequency analysis and spatio-temporal pattern characterization of rainfall extremes in the Pearl River Basin, China.” Journal of Hydrology (2009), pp. 386-405spa
dcterms.bibliographicCitationObeysekera J., J.D. Salas. “Quantifying the uncertainty of design floods under nonstationary conditions.” Journal of Hydrological Engineering, 19 (2014), pp. 1438-1446spa
dcterms.bibliographicCitationObeysekera J., J.D. Salas. “Frequency of recurrent extremes under nonstationarity.” Journal of Hydrological Engineering, 21 (2016), p. 04016005spa
dcterms.bibliographicCitationGrego J.M., P.A. Yates. “Point and standard error estimation for quantiles of mixed flood distribution.” Journal of Hydrology, 391 (2010), pp. 289-301spa
dcterms.bibliographicCitationKoutrouvelisa I.A., G. C Canavos. “A comparison of moment-based methods of estimation for the log-Pearson type 3 distribution.” Journal of Hydrology (2000), pp. 71-81spa
dcterms.bibliographicCitationXuewu J., D. Jing, H.W. Shen, J.D. Salas “Plotting positions for Pearson type-III distribution.” Journal of Hydrology, 74 (2003), pp. 1-29spa
dcterms.bibliographicCitationMakkonen L. “Problems in the extreme value analysis.” Structural safety (2006), pp. 405-419spa
dcterms.bibliographicCitationMaidment D. “Handbook of Hydrology.”, Mc Graw-Hill, United State of America (1992)spa
dcterms.bibliographicCitationCoronado-Hernández Ó.E., E. Merlano-Sabalza, Z. Díaz-Vergara, J.R. Coronado-Hernández “Selection of Hydrological Probability Distributions for Extreme Rainfall Events in the Regions of Colombia.” Water, 12 (2020), p. 1397spa
dcterms.bibliographicCitationIDEAM. “Regionalization of Colombia according to the stationarily of the monthly mean precipitation trough an analysis of main components.” Available online: http://www.ideam.gov.co/documents/21021/21789/Regionalizaci%25C3%25B3n%2bde%2bla%2blluvia%2ben%2bColombia.pdf/92287f96-840f-4408-8e76-98b668b83664 (accessed on 4 March 2021).spa
dcterms.bibliographicCitationGonzález-Álvarez Á., O.M. Viloria-Marimón, Ó.E. Coronado-Hernández, A.M. Vélez-Pereira, K. Tesfagiorgis, J.R. Coronado-Hernández “Isohyetal Maps of Daily Maximum Rainfall for Different Return Periods for the Colombian Caribbean Region.” Water, 11 (2019), p. 358spa
dcterms.bibliographicCitationChaire en Hydrologie Statistique (CHS) “Hyfran. Logiciel pour l’analyse fréquentielle en hydrologie.”, INRS-Eau (2002) rapport tech-niquespa
dcterms.bibliographicCitationGumbel E.J. “The return period of flood flows.” Ann. Math. Stat., 2 (1941), pp. 163-190spa
dcterms.bibliographicCitationAldrich John. “R.A. Fisher and the Making of Maximum Likelihood 1912-1922.” Statistical Science, 12 (3) (1997), pp. 162-176spa
dcterms.bibliographicCitationHazelton M.L. “Methods of Moments Estimation Lovric M (Ed.), International Encyclopedia of Statistical Science.”, Springer, Berlin, Heidelberg (2011)spa
dcterms.bibliographicCitationLi P., Yu. Z., Jian P., Wu C. “Spatiotemporal characteristics of regional extreme precipitation in Yangtze River Basin” Journal of Hydrology (2021) In Pressspa
dcterms.bibliographicCitationMuthuvel D., Mahesha A. “Copula-Based Frequency and Coincidence Risk Analysis of Floods in Tropical-Seasonal Rivers” Journal of Hydrologic Engineering, 25 (2021), p. 5spa
datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/restrictedAccessspa
dc.identifier.doihttps://doi.org/10.1016/j.procs.2021.12.286
dc.subject.keywordsAnnual flow peaksspa
dc.subject.keywordsColombiaspa
dc.subject.keywordsCumulative distribution functionspa
dc.subject.keywordsHydrometric stationsspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.audienceInvestigadoresspa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_2df8fbb1spa


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.