Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia

Physics includes the study and investigation of the phases that make up the hydrological cycle, including the estimation of flow rates in river basins, most of which are not instrumented, i.e., they lack historical records of circulating flows. For this situation, the application of hydrological mod...

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Autores:
calixto, nelson javier
Carrillo-Soto, Gustavo A
Becerra Moreno, Dorance
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Universidad Francisco de Paula Santander
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Repositorio Digital UFPS
Idioma:
eng
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oai:repositorio.ufps.edu.co:ufps/6957
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https://repositorio.ufps.edu.co/handle/ufps/6957
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dc.title.eng.fl_str_mv Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia
title Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia
spellingShingle Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia
title_short Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia
title_full Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia
title_fullStr Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia
title_full_unstemmed Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia
title_sort Validation of the modified Témez rational model in the watersheds of Norte de Santander, Colombia
dc.creator.fl_str_mv calixto, nelson javier
Carrillo-Soto, Gustavo A
Becerra Moreno, Dorance
dc.contributor.author.none.fl_str_mv calixto, nelson javier
Carrillo-Soto, Gustavo A
Becerra Moreno, Dorance
description Physics includes the study and investigation of the phases that make up the hydrological cycle, including the estimation of flow rates in river basins, most of which are not instrumented, i.e., they lack historical records of circulating flows. For this situation, the application of hydrological models can allow flow estimates to be made. In the Department of Norte de Santander, Colombia, some watersheds do not have instrumentation for flow measurement or hydrological modeling methodologies appropriate to the site. Therefore, methods such as the modified rational model of Teméz are used, even without knowing the relevance of its applicability to the site conditions. Consequently, for the present research, the Teméz model was validated in watersheds of the Norte de Santander Department to estimate the values of extreme flows with a return period of 100 years. In this sense, 11 watersheds were selected, which contained historical rainfall data greater than 20 years and a drainage network of fewer than 1000 Km2. It was found that the Teméz model overestimates the real flows of the 11 hydrological basins, where the climatological parameters used in the application of the Fhrüling factor and its statistical verification using multivariate regression did not achieve an acceptable correlation.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-06-11
dc.date.accessioned.none.fl_str_mv 2024-04-18T13:53:32Z
dc.date.available.none.fl_str_mv 2024-04-18T13:53:32Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.uri.none.fl_str_mv https://repositorio.ufps.edu.co/handle/ufps/6957
dc.identifier.doi.none.fl_str_mv 10.1088/1742-6596/2073/1/012017
url https://repositorio.ufps.edu.co/handle/ufps/6957
identifier_str_mv 10.1088/1742-6596/2073/1/012017
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv JOURNAL OF PHYSICS CONFERENCE SERIES ISSN: 1742-6596, 2022 vol:2073 fasc: N/A págs: 1 - 7, DOI:10.1088/1742-6596/2073/1/012017
dc.relation.citationedition.spa.fl_str_mv Vol.2073 No. (2021)
dc.relation.citationendpage.spa.fl_str_mv 8
dc.relation.citationissue.spa.fl_str_mv (2021)
dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 2073
dc.relation.cites.none.fl_str_mv N J Cely-Calixto et al 2021 J. Phys.: Conf. Ser. 2073 012017
dc.rights.eng.fl_str_mv Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
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dc.rights.creativecommons.spa.fl_str_mv Atribución 4.0 Internacional (CC BY 4.0)
rights_invalid_str_mv Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
https://creativecommons.org/licenses/by/4.0/
Atribución 4.0 Internacional (CC BY 4.0)
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 8 Páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Journal of Physics: Conference Series
dc.publisher.place.spa.fl_str_mv Inglaterra
dc.source.spa.fl_str_mv https://iopscience.iop.org/article/10.1088/1742-6596/2073/1/012017
institution Universidad Francisco de Paula Santander
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spelling calixto, nelson javier1b1c54c0164cb75e102a975426a97880600Carrillo-Soto, Gustavo A9f0bdf54d830286b6e18ffcbfb4b42dd600Becerra Moreno, Dorance81ffadb12b7f7803d974959f5ecd568c6002024-04-18T13:53:32Z2024-04-18T13:53:32Z2021-06-11https://repositorio.ufps.edu.co/handle/ufps/695710.1088/1742-6596/2073/1/012017Physics includes the study and investigation of the phases that make up the hydrological cycle, including the estimation of flow rates in river basins, most of which are not instrumented, i.e., they lack historical records of circulating flows. For this situation, the application of hydrological models can allow flow estimates to be made. In the Department of Norte de Santander, Colombia, some watersheds do not have instrumentation for flow measurement or hydrological modeling methodologies appropriate to the site. Therefore, methods such as the modified rational model of Teméz are used, even without knowing the relevance of its applicability to the site conditions. Consequently, for the present research, the Teméz model was validated in watersheds of the Norte de Santander Department to estimate the values of extreme flows with a return period of 100 years. In this sense, 11 watersheds were selected, which contained historical rainfall data greater than 20 years and a drainage network of fewer than 1000 Km2. It was found that the Teméz model overestimates the real flows of the 11 hydrological basins, where the climatological parameters used in the application of the Fhrüling factor and its statistical verification using multivariate regression did not achieve an acceptable correlation.8 Páginasapplication/pdfengJournal of Physics: Conference SeriesInglaterraJOURNAL OF PHYSICS CONFERENCE SERIES ISSN: 1742-6596, 2022 vol:2073 fasc: N/A págs: 1 - 7, DOI:10.1088/1742-6596/2073/1/012017Vol.2073 No. (2021)8(2021)12073N J Cely-Calixto et al 2021 J. Phys.: Conf. Ser. 2073 012017Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/2073/1/012017Validation of the modified Témez rational model in the watersheds of Norte de Santander, ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Shu C and Ouarda T 2012 Improved methods for daily streamflow estimates at ungauged sites Water Resources Research 48 W02523Yang X, Magnusson J, Huang S, Beldring S and Xu C 2020 Dependence of regionalization methods on the complexity of hydrological models in multiple climatic regions Journal of Hydrology 582 124357Kang J, Kayhanian M and Stenstrom M 2008 Predicting the existence of stormwater first flush from the time of concentration Water Research 42 220Martínez E 2012 A geographical approach to post-flood analysis: The extreme flood event of 12 October 2007 in Calpe (Spain) Applied Geography 32 490Rico M, Benito G and Barnolas A 2001 Combined palaeoflood and rainfall-runoff assessment of mountain floods (Spanish Pyrenees) Journal of Hydrology 245 59da Silva L, Garcia J, Nascimento S, Bicioni A, Duarte R and Wolff W 2020 Assessment of hydrological regionalization methodologies for the upper Jaguari River basin Journal of South American Earth Sciences 97 102402Bery A and Saad R 2015 CIEC 2014: Proceedings of the International Civil and Infrastructure Engineering Conference 2014 (Singapore) Enhancement in electrical resistivity tomography resolution for environmental and engineering geophysical study ed R Hassan, M Yusoff, A Alisibramulisi, N Mohd and Z Ismail 459-467 Springer Science+Business MediaNg J L, Yap S Y, Huang Y F, Md Noh N, Al-Mansob R and Razman R 2020 Investigation of the best fit probability distribution for annual maximum rainfall in Kelantan River basin IOP Conference Series: Earth Environmental Science 476 012118Naghettini M 2017 Fundamentals of Statistical Hydrology (Cham: Springer International Publishing Switzerland)Harahap R, Jeumpa K and Hadibroto B 2018 Flood discharge analysis with nakayasu method using combination of HEC-RAS method on Deli River in Medan City Journal of Physics: Conference Series 970 1 012011Davie T and Quinn N 2019 Fundamentals of Hydrology (London: Routledge)Abboud I and Nofal R 2017 Morphometric analysis of wadi Khumal basin, western coast of Saudi Arabia, using remote sensing and GIS techniques Journal African Earth Sciences 126 58Altaf F, Meraj G and Romshoo S 2013 Morphometric analysis to infer hydrological behaviour of lidder Watershed, Western Himalaya, India Geography Journal 2013 178021de Souza G, Merwade V, de Oliveira L, R, Viola M and de Sá Farias M 2021 Regional flood frequency analysis and uncertainties: Maximum streamflow estimates in ungauged basins in the region of Lavras, MG, Brazil Catena 197 104970ORIGINALValidation of the modified Témez rational model.pdfValidation of the modified Témez rational model.pdfapplication/pdf1374221https://repositorio.ufps.edu.co/bitstream/ufps/6957/1/Validation%20of%20the%20modified%20T%c3%a9mez%20rational%20model.pdf4e53c26e54fe124d965ef549a3ea5a5eMD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.ufps.edu.co/bitstream/ufps/6957/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessTEXTValidation of the modified Témez rational model.pdf.txtValidation of the modified Témez rational model.pdf.txtExtracted texttext/plain21448https://repositorio.ufps.edu.co/bitstream/ufps/6957/3/Validation%20of%20the%20modified%20T%c3%a9mez%20rational%20model.pdf.txt6fe36d4e292de49c27b4f37fe24496e7MD53open accessTHUMBNAILValidation of the modified Témez rational model.pdf.jpgValidation of the modified Témez rational model.pdf.jpgGenerated Thumbnailimage/jpeg9948https://repositorio.ufps.edu.co/bitstream/ufps/6957/4/Validation%20of%20the%20modified%20T%c3%a9mez%20rational%20model.pdf.jpg4d7b997c4f5ae1e9192d363fc01aedc5MD54open accessufps/6957oai:repositorio.ufps.edu.co:ufps/69572024-04-19 03:01:19.536An error occurred on the license name.|||https://creativecommons.org/licenses/by/4.0/open accessRepositorio Universidad Francisco de Paula 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0002-2083-69781b1c54c0164cb75e102a975426a978806000000-0001-6772-44319f0bdf54d830286b6e18ffcbfb4b42dd6000000-0001-8556-991481ffadb12b7f7803d974959f5ecd568c600