Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis
The calculation of base flow rates in rivers is complex since hydrogeological and hydrological studies should be performed. The estimation of base flow rates in storm hydrograph associated to various return periods is even more challenging compared to other events. This research provides a novel met...
- Autores:
-
Villalba-Barrios, Andres
Coronado-Hernandez, Oscar E
Fuertes-Miquel, Vicente S.
Coronado-Hernandez, Jairo R.
Ramos, Helena M.
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12449
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12449
- Palabra clave:
- Base flows
Flood hydrographs
Mean flows
Statistical approach
Hydropower effect
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis |
| title |
Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis |
| spellingShingle |
Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis Base flows Flood hydrographs Mean flows Statistical approach Hydropower effect LEMB |
| title_short |
Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis |
| title_full |
Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis |
| title_fullStr |
Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis |
| title_full_unstemmed |
Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis |
| title_sort |
Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis |
| dc.creator.fl_str_mv |
Villalba-Barrios, Andres Coronado-Hernandez, Oscar E Fuertes-Miquel, Vicente S. Coronado-Hernandez, Jairo R. Ramos, Helena M. |
| dc.contributor.author.none.fl_str_mv |
Villalba-Barrios, Andres Coronado-Hernandez, Oscar E Fuertes-Miquel, Vicente S. Coronado-Hernandez, Jairo R. Ramos, Helena M. |
| dc.subject.keywords.spa.fl_str_mv |
Base flows Flood hydrographs Mean flows Statistical approach Hydropower effect |
| topic |
Base flows Flood hydrographs Mean flows Statistical approach Hydropower effect LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
The calculation of base flow rates in rivers is complex since hydrogeological and hydrological studies should be performed. The estimation of base flow rates in storm hydrograph associated to various return periods is even more challenging compared to other events. This research provides a novel methodology to compute base flow rates in gaged rivers for extreme events based on statistical correlations of daily flows. The current methodology does not require complex aquifers analysis to compute base flows. Results of computed base flow rates are validated using observed storm hydrographs using a complete record. The proposed methodology was applied considering measurements of a limnigraphic station in the Sinú river located in Montería, Córdoba, Colombia. The analysis confirmed that only using series of multiannual monthly mean flows is possible to estimate base flow of flood hydrograph associated to different return periods. |
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2023 |
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2023-08-14T17:57:35Z |
| dc.date.available.none.fl_str_mv |
2023-08-14T17:57:35Z |
| dc.date.issued.none.fl_str_mv |
2023-06-27 |
| dc.date.submitted.none.fl_str_mv |
2023-08-14 |
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http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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draft |
| dc.identifier.citation.spa.fl_str_mv |
Villalba-Barrios, A.F.; Coronado-Hernández, O.E.; Fuertes-Miquel, V.S.; Coronado-Hernández, J.R.; Ramos, H.M. Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis. Hydrology 2023, 10, 137. https://doi.org/10.3390/hydrology10070137 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12449 |
| dc.identifier.doi.none.fl_str_mv |
10.3390/hydrology10070137 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Villalba-Barrios, A.F.; Coronado-Hernández, O.E.; Fuertes-Miquel, V.S.; Coronado-Hernández, J.R.; Ramos, H.M. Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis. Hydrology 2023, 10, 137. https://doi.org/10.3390/hydrology10070137 10.3390/hydrology10070137 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/12449 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
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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 |
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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 |
26 páginas |
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application/pdf |
| dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
| dc.source.spa.fl_str_mv |
Hydrology - Vol. 10 No. 7 (2023) |
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Universidad Tecnológica de Bolívar |
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Villalba-Barrios, Andresc1443470-9d85-457f-8f25-765460556966Coronado-Hernandez, Oscar E24d7bae4-9ca0-4289-94be-2ea1e1f875a1Fuertes-Miquel, Vicente S.ee591d7a-dc42-4bff-b9db-a19f976e419bCoronado-Hernandez, Jairo R.fa159048-65d3-47d9-91ee-316761d87502Ramos, Helena M.55b0330e-7043-4bb2-8745-c564ce43175a2023-08-14T17:57:35Z2023-08-14T17:57:35Z2023-06-272023-08-14Villalba-Barrios, A.F.; Coronado-Hernández, O.E.; Fuertes-Miquel, V.S.; Coronado-Hernández, J.R.; Ramos, H.M. Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysis. Hydrology 2023, 10, 137. https://doi.org/10.3390/hydrology10070137https://hdl.handle.net/20.500.12585/1244910.3390/hydrology10070137Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe calculation of base flow rates in rivers is complex since hydrogeological and hydrological studies should be performed. The estimation of base flow rates in storm hydrograph associated to various return periods is even more challenging compared to other events. This research provides a novel methodology to compute base flow rates in gaged rivers for extreme events based on statistical correlations of daily flows. The current methodology does not require complex aquifers analysis to compute base flows. Results of computed base flow rates are validated using observed storm hydrographs using a complete record. The proposed methodology was applied considering measurements of a limnigraphic station in the Sinú river located in Montería, Córdoba, Colombia. The analysis confirmed that only using series of multiannual monthly mean flows is possible to estimate base flow of flood hydrograph associated to different return periods.26 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_abf2Hydrology - Vol. 10 No. 7 (2023)Statistical Approach for Computing Base Flow Rates in Gaged Rivers and Hydropower Effect Analysisinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_b1a7d7d4d402bcceBase flowsFlood hydrographsMean flowsStatistical approachHydropower effectLEMBCartagena de IndiasPúblico generalBlöschl, G.; Sivapalan, M. Scale issues in hydrological modelling: A review. Hydrol. Process. 1995, 9, 251–290Avesani, D.; Galletti, A.; Piccolroaz, S.; Bellin, A.; Majone, B. A dual-layer MPI continuous large-scale hydrological model including Human Systems. Environ. Model. Softw. 2021, 139, 105003McEnroe, B.M. Diseño hidrológico de puentes y alcantarillas: Una revisión histórica. In Great Rivers History: Actas y Artículos Invitados para el Congreso EWRI y el Simposio de Historia; American Society of Civil Engineers: Reston, VA, USA, 2009; pp. 83–90Monsalve Sáenz, G. Hidrología en la Ingeniería; Alfaomega Grupo Editor S.A. de C.V.: Mexico DF, Mexico, 1999.Ajmal, M.; Moon, G.W.; Ahn, J.H.; Kim, T.W. Investigation of SCS-CN and its inspired modified models for runoff estimation in South Korean watersheds. J. Hydro-Environ. Res. 2015, 9, 592–603.Chow, V.T.; Maidment, D.R.; Mays, L.W. Hidrología Aplicada; McGraw-Hill: New York, NY, USA, 1996Samper, J.; Huguet, L.; Ares, J.; García-Vera, M.A. Modelos Interactivos de Balance Hidrológico. Estudios de la Zona No Saturada del Suelo; ICIA: Tenerife, Spain, 1999; pp. 187–193.Perrin, C.; Michel, C.; Andréassian, V. Improvement of a parsimonious model for streamflow simulation. J. Hydrol. 2003, 279, 275–289.Nascimento, N.D.E.O.; Yang, X.; Makhlouf, Z.; Michel, C. GR3J: A daily watershed model with three free parameters. Hydrol. Sci. J. 1999, 44, 263–277.Yue, S.; Ouarda, T.B.; Bobée, B.; Legendre, P.; Bruneau, P. Approach for describing statistical properties of flood hydrograph. J. Hydrol. Eng. 2002, 7, 147–153Aksoy, H.; Kurt, I.; Eris, E. Filtered smoothed minima baseflow separation method. J. Hydrol. 2009, 372, 94–101Stewart, M.K. Promising new baseflow separation and recession analysis methods applied to streamflow at Glendhu Catchment, New Zealand. Hydrol. Earth Syst. Sci. 2015, 19, 2587–2603.Tularam, G.A.; Ilahee, M. Exponential smoothing method of base flow separation and its impact on continuous loss estimates. Am. J. Environ. Sci. 2008, 4, 136.URRA. URRA: Información Institucional–URRA. 2023. Available online: https://urra.com.co/ (accessed on 10 April 2023).Pomca Diagnóstico Ambiental de la Cuenca Hidrográfica del Río Sinú; CVS—Corporación Autónoma Regional de los valles del Sinú y del San Jorge: Montería, Colombia, 2004.CVS. CVS: CVS—Corporación Autónoma Regional de los valles del Sinú y del San Jorge. 2023. Available online: https: //cvs.gov.co/ (accessed on 17 May 2023).Corantioquia. Corantioquia: Corporación Autónoma Regional del Centro de Antioquia. 2023. Available online: https://www. corantioquia.gov.co/ (accessed on 17 May 2023).Carsucre. Carsucre: Carsucre—Corporacion Autonoma Regional de Sucre_Corporacion Autonoma Regional de Sucre. 2023. Available online: https://carsucre.gov.co/# (accessed on 17 May 2023).. DANCRA. DANCRA: Estructura Interna de la DAMCRA-Ministerio de Ambiente y Desarrollo Sostenible. 2023. Available online: https://www.minambiente.gov.co/asuntos-marinos-costeros-y-recursos-acuaticos/estructura-interna-de-la-damcra/ (accessed on 18 May 2023)INVEMAR. INVEMAR: INVEMAR_Colombia 50% Mar. 2023. Available online: http://www.invemar.org.co/ (accessed on 8 March 2023).IDEAM. IDEAM: IDEAM–IDEAM. 2023. Available online: http://www.ideam.gov.co/ (accessed on 8 March 2023).Valbuena Gaviria, D.L. Geomorfología y condiciones hidráulicas del sistema fluvial del río Sinú. Integración multiescalar. 1945–1999–2016. Geografía 2017, 3, 70.Ríos-Alejandro, J.G. Temperaturas extremas en la ciudad de Monterrey NL México. Rev. Chapingo Ser. Cienc. For. Y Del Ambiente 2011, 17, 225–230.Coles, S.; Bawa, J.; Trenner, L.; Dorazio, P. An Introduction to Statistical Modeling of Extreme Values; Springer: London, UK, 2001; Volume 208, p. 208.Gumbel, E.J. Statistics of Extremes; Courier Corporation: North Chelmsford, MA, USA, 2004Coronado-Hernández, Ó.E.; Merlano-Sabalza, E.; Díaz-Vergara, Z.; Coronado-Hernández, J.R. Selection of hydrological probability distributions for extreme rainfall events in the regions of Colombia. Water 2020, 12, 1397.Grego, J.M.; Yates, P.A. Point and standard error estimation for quantiles of mixed flood distributions. J. Hydrol. 2010, 391, 289–301.Xuewu, J.; Jing, D.; Shen, H.W.; Salas, J.D. Plotting positions for Pearson type-III distribution. J. Hydrol. 1984, 74, 1–29.Aldrich, J. RA Fisher and the making of maximum likelihood 1912–1922. Stat. Sci. 1997, 12, 162–176.Hosking, J.R. L-moments: Analysis and estimation of distributions using linear combinations of order statistics. J. R. Stat. Soc. Ser. B (Methodol.) 1990, 52, 105–124.Task Committee on Hydrology Handbook of Management Group D of ASCE. 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