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

Óscar E. Coronado-Hernández; Julio Ramos-Urzola; Luis F. Julio-Amigo; Jairo R. Coronado-Hernández; Gustavo Gatica; Nohora Mercado-Caruso

doi:10.1016/j.procs.2021.12.286

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

Óscar E. Coronado-Hernández, Julio Ramos-Urzola, Luis F. Julio-Amigo, Jairo R. Coronado-Hernández, Gustavo Gatica, Nohora Mercado-Caruso

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	560-565
Number of pages	6
Journal	Procedia Computer Science
Volume	198
DOIs	https://doi.org/10.1016/j.procs.2021.12.286
Publication status	Published - 2021
Event	12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2021 / 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2021 - Leuven, Belgium Duration: 1 Nov 2021 → 4 Nov 2021

Keywords

annual flow peaks
Colombia
cumulative distribution function
hydrometric stations

ASJC Scopus subject areas

General Computer Science

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10.1016/j.procs.2021.12.286

Cite this

Coronado-Hernández, Ó. E., Ramos-Urzola, J., Julio-Amigo, L. F., Coronado-Hernández, J. R., Gatica, G., & Mercado-Caruso, N. (2021). 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. https://doi.org/10.1016/j.procs.2021.12.286

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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",

abstract = "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.",

keywords = "annual flow peaks, Colombia, cumulative distribution function, hydrometric stations",

author = "Coronado-Hern{\'a}ndez, {{\'O}scar E.} and Julio Ramos-Urzola and Julio-Amigo, {Luis F.} and Coronado-Hern{\'a}ndez, {Jairo R.} and Gustavo Gatica and Nohora Mercado-Caruso",

note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.. All rights reserved.; 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2021 / 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2021 ; Conference date: 01-11-2021 Through 04-11-2021",

year = "2021",

doi = "10.1016/j.procs.2021.12.286",

language = "English",

volume = "198",

pages = "560--565",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier BV",

}

Coronado-Hernández, ÓE, Ramos-Urzola, J, Julio-Amigo, LF, Coronado-Hernández, JR, Gatica, G & Mercado-Caruso, N 2021, '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, vol. 198, pp. 560-565. https://doi.org/10.1016/j.procs.2021.12.286

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. / Coronado-Hernández, Óscar E.; Ramos-Urzola, Julio; Julio-Amigo, Luis F. et al.
In: Procedia Computer Science, Vol. 198, 2021, p. 560-565.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - 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

AU - Coronado-Hernández, Óscar E.

AU - Ramos-Urzola, Julio

AU - Julio-Amigo, Luis F.

AU - Coronado-Hernández, Jairo R.

AU - Gatica, Gustavo

AU - Mercado-Caruso, Nohora

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - annual flow peaks

KW - Colombia

KW - cumulative distribution function

KW - hydrometric stations

UR - http://www.scopus.com/inward/record.url?scp=85124613158&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2021.12.286

DO - 10.1016/j.procs.2021.12.286

M3 - Conference article

AN - SCOPUS:85124613158

SN - 1877-0509

VL - 198

SP - 560

EP - 565

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2021 / 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2021

Y2 - 1 November 2021 through 4 November 2021

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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