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
Analysis 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 an...
- Autores:
-
Coronado-Hernández, Óscar E.
Ramos-Urzola, Julio
Julio-Amigo, Luis F.
Coronado-Hernández, Jairo R.
Gatica, Gustavo
Mercado-Caruso, Nohora
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10643
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/10643
https://doi.org/10.1016/j.procs.2021.12.286
- Palabra clave:
- Annual flow peaks
Colombia
Cumulative distribution function
Hydrometric stations
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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| dc.title.spa.fl_str_mv |
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 |
| title |
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 |
| spellingShingle |
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 Annual flow peaks Colombia Cumulative distribution function Hydrometric stations LEMB |
| title_short |
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 |
| title_full |
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 |
| title_fullStr |
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 |
| title_full_unstemmed |
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 |
| title_sort |
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.creator.fl_str_mv |
Coronado-Hernández, Óscar E. Ramos-Urzola, Julio Julio-Amigo, Luis F. Coronado-Hernández, Jairo R. Gatica, Gustavo Mercado-Caruso, Nohora |
| dc.contributor.author.none.fl_str_mv |
Coronado-Hernández, Óscar E. Ramos-Urzola, Julio Julio-Amigo, Luis F. Coronado-Hernández, Jairo R. Gatica, Gustavo Mercado-Caruso, Nohora |
| dc.subject.keywords.spa.fl_str_mv |
Annual flow peaks Colombia Cumulative distribution function Hydrometric stations |
| topic |
Annual flow peaks Colombia Cumulative distribution function Hydrometric stations LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
Analysis 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 method |
| publishDate |
2021 |
| dc.date.issued.none.fl_str_mv |
2021-11-01 |
| dc.date.accessioned.none.fl_str_mv |
2022-03-25T15:11:04Z |
| dc.date.available.none.fl_str_mv |
2022-03-25T15:11:04Z |
| dc.date.submitted.none.fl_str_mv |
2022-03-24 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/restrictedAccess |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.identifier.citation.spa.fl_str_mv |
Coronado, 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. |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/10643 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.procs.2021.12.286 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Coronado, 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. Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/10643 https://doi.org/10.1016/j.procs.2021.12.286 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
| dc.rights.cc.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
| dc.format.extent.none.fl_str_mv |
6 Páginas |
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application/pdf |
| dc.coverage.spatial.none.fl_str_mv |
Colombia |
| dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
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Procedia Computer Science 198 (2022) 560–565 |
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Universidad Tecnológica de Bolívar |
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Coronado-Hernández, Óscar E.b47200b6-5b93-42e3-b9ee-3c619bcec915Ramos-Urzola, Julio10fbfe55-c293-4d8d-845e-6f2e8fca7366Julio-Amigo, Luis F.eb31a6e8-d2c0-4de5-ae80-ac288e09abcdCoronado-Hernández, Jairo R.86b71d5d-cfcc-464b-9792-545bb0afd5a5Gatica, Gustavofe6fa1c9-2c41-4f0b-9b8c-8dbc65eb42a0Mercado-Caruso, Nohora6d5ecdf1-41df-45a4-bd0e-d2fcd2b239b2Colombia2022-03-25T15:11:04Z2022-03-25T15:11:04Z2021-11-012022-03-24Coronado, 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.https://hdl.handle.net/20.500.12585/10643https://doi.org/10.1016/j.procs.2021.12.286Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarAnalysis 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 method6 Páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Procedia Computer Science 198 (2022) 560–565A preliminary analysis for selecting the best hydrological probability density functions of annual peak flows associated to various return periods in some rivers of Colombiainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/resource_type/c_2df8fbb1Annual flow peaksColombiaCumulative distribution functionHydrometric stationsLEMBCartagena de IndiasInvestigadoresChow V.T., D.R. Maidment, L.W. Mays. “Applied Hydrology”, McGraw-Hill, Colombia, Bogotá (1994)Clarke 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. 26-29Arnaez J., T. Lasanta, P. Ruiz-Flan, L. Ortigosa. “Factors affecting runoff and erosion under simulated rainfall in Mediterranean vineyards.” Soil & Tillage Research (2007), pp. 324-334Yang 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. 386-405Obeysekera J., J.D. Salas. “Quantifying the uncertainty of design floods under nonstationary conditions.” Journal of Hydrological Engineering, 19 (2014), pp. 1438-1446Obeysekera J., J.D. Salas. “Frequency of recurrent extremes under nonstationarity.” Journal of Hydrological Engineering, 21 (2016), p. 04016005Grego J.M., P.A. Yates. “Point and standard error estimation for quantiles of mixed flood distribution.” Journal of Hydrology, 391 (2010), pp. 289-301Koutrouvelisa 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. 71-81Xuewu J., D. Jing, H.W. Shen, J.D. Salas “Plotting positions for Pearson type-III distribution.” Journal of Hydrology, 74 (2003), pp. 1-29Makkonen L. “Problems in the extreme value analysis.” Structural safety (2006), pp. 405-419Maidment D. “Handbook of Hydrology.”, Mc Graw-Hill, United State of America (1992)Coronado-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. 1397IDEAM. “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).González-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. 358Chaire en Hydrologie Statistique (CHS) “Hyfran. Logiciel pour l’analyse fréquentielle en hydrologie.”, INRS-Eau (2002) rapport tech-niqueGumbel E.J. “The return period of flood flows.” Ann. Math. Stat., 2 (1941), pp. 163-190Aldrich John. “R.A. Fisher and the Making of Maximum Likelihood 1912-1922.” Statistical Science, 12 (3) (1997), pp. 162-176Hazelton M.L. “Methods of Moments Estimation Lovric M (Ed.), International Encyclopedia of Statistical Science.”, Springer, Berlin, Heidelberg (2011)Li P., Yu. Z., Jian P., Wu C. “Spatiotemporal characteristics of regional extreme precipitation in Yangtze River Basin” Journal of Hydrology (2021) In PressMuthuvel D., Mahesha A. “Copula-Based Frequency and Coincidence Risk Analysis of Floods in Tropical-Seasonal Rivers” Journal of Hydrologic Engineering, 25 (2021), p. 5http://purl.org/coar/resource_type/c_2df8fbb1ORIGINAL1-s2.0-S1877050921025254-main.pdf1-s2.0-S1877050921025254-main.pdfapplication/pdf781450https://repositorio.utb.edu.co/bitstream/20.500.12585/10643/1/1-s2.0-S1877050921025254-main.pdf6f6b45fe24361edd6fecfbbdeee57640MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstream/20.500.12585/10643/3/license.txte20ad307a1c5f3f25af9304a7a7c86b6MD53CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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