Hydrological similarity of catchments in the southern area of Colombian Andean region

In every branch of science, the classification of the object of study shows the degree of understanding reached. Hydrology seeks this sorting system that classifies watersheds globally, a highly complex issue given the degree of heterogeneity of climates, geomorphology, vegetation cover, soils and g...

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Autores:
calixto, nelson javier
Carrillo-Soto, Gustavo A
Ayala Ibarra, Luis Miguel
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Francisco de Paula Santander
Repositorio:
Repositorio Digital UFPS
Idioma:
eng
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oai:repositorio.ufps.edu.co:ufps/1131
Acceso en línea:
http://repositorio.ufps.edu.co/handle/ufps/1131
https://doi.org/10.1088/1742-6596/1388/1/012042
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© Copyright 2021 IOP Publishing
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dc.title.eng.fl_str_mv Hydrological similarity of catchments in the southern area of Colombian Andean region
title Hydrological similarity of catchments in the southern area of Colombian Andean region
spellingShingle Hydrological similarity of catchments in the southern area of Colombian Andean region
title_short Hydrological similarity of catchments in the southern area of Colombian Andean region
title_full Hydrological similarity of catchments in the southern area of Colombian Andean region
title_fullStr Hydrological similarity of catchments in the southern area of Colombian Andean region
title_full_unstemmed Hydrological similarity of catchments in the southern area of Colombian Andean region
title_sort Hydrological similarity of catchments in the southern area of Colombian Andean region
dc.creator.fl_str_mv calixto, nelson javier
Carrillo-Soto, Gustavo A
Ayala Ibarra, Luis Miguel
dc.contributor.author.none.fl_str_mv calixto, nelson javier
Carrillo-Soto, Gustavo A
Ayala Ibarra, Luis Miguel
description In every branch of science, the classification of the object of study shows the degree of understanding reached. Hydrology seeks this sorting system that classifies watersheds globally, a highly complex issue given the degree of heterogeneity of climates, geomorphology, vegetation cover, soils and geology. This project provides ideas on the possibilities of classification of basins in the southern region of the Andean zone in Colombia, from hydrological similarity point of view, evaluated by means of "signatures" that synthesize the hydrological functioning of the basin. Five signatures were considered: Runoff coefficient, base flow index, slope of the flow duration curve, discharge-precipitation elasticity, and hydrograph rising limb density. Geomorphological characteristics and values of hydrological signatures were determined for 25 catchments. Two classification methodologies were implemented: k-means clustering and classification and regression trees. The grouping identified two groups for base flow index, rising limb density and slope of the flow duration curve firms, and three groups for the remaining runoff coefficient and streamflow-precipitation elasticity. No significant correlations were found between hydrological signatures and climatic and geomorphological characteristics, suggesting a degree of complexity within hydrological processes that require the inclusion of other components such as vegetation and soils characteristics. By applying regression trees, the basins were grouped into 4 classes, with the slope of the flow duration curve being the main discriminator and the rising limb density in the second level. The importance of the flow duration curve as an indicator of hydrological processes and the rising limb density as an indicator of the climatic component, the driving force of said processes, is highlighted.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019-11-19
dc.date.accessioned.none.fl_str_mv 2021-11-19T14:05:32Z
dc.date.available.none.fl_str_mv 2021-11-19T14:05:32Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.doi.none.fl_str_mv https://doi.org/10.1088/1742-6596/1388/1/012042
url http://repositorio.ufps.edu.co/handle/ufps/1131
https://doi.org/10.1088/1742-6596/1388/1/012042
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Journal of Physics: Conference Series
dc.relation.citationedition.spa.fl_str_mv Vol.1388 No.1.(2019)
dc.relation.citationendpage.spa.fl_str_mv 7
dc.relation.citationissue.spa.fl_str_mv 1(2019)
dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 1388
dc.relation.cites.none.fl_str_mv Carrillo-Soto, G. A., Cely, N. J., & Ayala-Ibarra, M. L. (2019, November). Hydrological similarity of catchments in the southern area of Colombian Andean region. In Journal of Physics: Conference Series (Vol. 1388, No. 1, p. 012042). IOP Publishing.
dc.relation.ispartofjournal.spa.fl_str_mv Journal of Physics: Conference Series
dc.rights.eng.fl_str_mv © Copyright 2021 IOP Publishing
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dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.creativecommons.spa.fl_str_mv Atribución 4.0 Internacional (CC BY 4.0)
rights_invalid_str_mv © Copyright 2021 IOP Publishing
Atribución 4.0 Internacional (CC BY 4.0)
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eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 07 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.coverage.country.none.fl_str_mv Colombia
dc.publisher.spa.fl_str_mv Journal of Physics: Conference Series
dc.publisher.place.spa.fl_str_mv Reino Unido
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institution Universidad Francisco de Paula Santander
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spelling calixto, nelson javier1b1c54c0164cb75e102a975426a97880600Carrillo-Soto, Gustavo A9f0bdf54d830286b6e18ffcbfb4b42dd600Ayala Ibarra, Luis Miguel2a84e19affe8626f5ab1ee118df1b5982021-11-19T14:05:32Z2021-11-19T14:05:32Z2019-11-19http://repositorio.ufps.edu.co/handle/ufps/1131https://doi.org/10.1088/1742-6596/1388/1/012042In every branch of science, the classification of the object of study shows the degree of understanding reached. Hydrology seeks this sorting system that classifies watersheds globally, a highly complex issue given the degree of heterogeneity of climates, geomorphology, vegetation cover, soils and geology. This project provides ideas on the possibilities of classification of basins in the southern region of the Andean zone in Colombia, from hydrological similarity point of view, evaluated by means of "signatures" that synthesize the hydrological functioning of the basin. Five signatures were considered: Runoff coefficient, base flow index, slope of the flow duration curve, discharge-precipitation elasticity, and hydrograph rising limb density. Geomorphological characteristics and values of hydrological signatures were determined for 25 catchments. Two classification methodologies were implemented: k-means clustering and classification and regression trees. The grouping identified two groups for base flow index, rising limb density and slope of the flow duration curve firms, and three groups for the remaining runoff coefficient and streamflow-precipitation elasticity. No significant correlations were found between hydrological signatures and climatic and geomorphological characteristics, suggesting a degree of complexity within hydrological processes that require the inclusion of other components such as vegetation and soils characteristics. By applying regression trees, the basins were grouped into 4 classes, with the slope of the flow duration curve being the main discriminator and the rising limb density in the second level. The importance of the flow duration curve as an indicator of hydrological processes and the rising limb density as an indicator of the climatic component, the driving force of said processes, is highlighted.07 páginasapplication/pdfengJournal of Physics: Conference SeriesReino UnidoJournal of Physics: Conference SeriesVol.1388 No.1.(2019)71(2019)11388Carrillo-Soto, G. A., Cely, N. J., & Ayala-Ibarra, M. L. (2019, November). Hydrological similarity of catchments in the southern area of Colombian Andean region. In Journal of Physics: Conference Series (Vol. 1388, No. 1, p. 012042). IOP Publishing.Journal of Physics: Conference Series© Copyright 2021 IOP Publishinginfo:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1388/1/012042/metaHydrological similarity of catchments in the southern area of Colombian Andean regionArtículo 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_970fb48d4fbd8a85ColombiaWagener T, Wheater H S and Gupta H V 2004 Rainfall-runoff modelling in gauged and ungauged catchments (London, UK: Imperial College Press)Beven K J 2000 On the uniqueness of place and process representations in hydrological modelling Hydrology and Earth System Science 4 203Sivapalan M 2005 Encyclopedia of hydrological sciences ed M Anderson (London: John Wiley) Pattern, processes and function: elements of a unified theory of hydrology at the catchment scale 193 Chapter 13Wagener T, Sivapalan M, Troch P and Woods R 2007 Catchment classification and hydrologic similarity Geography compass 1 901Wagener T and Wheater H S 2006 Parameter estimation and regionalization for continuous rainfall- runoff models including uncertainty Journal of Hydrology 320 132Parajka J, Merz R and Bloeschl G 2005 A comparison of regionalization methods for catchment model parameters Hydrology and Earth System Sciences 9 157Merz B and Bloeschl G 2004 Regionalization of catchment model parameters Journal of Hydrology 287 95Lyon S W and Troch P A 2007 Hillslope hydrologic similarity: Real-world tests of the hillslope Peclet number Water Resources Research 43 1McGlynn B L and Seibert J 2003 Distributed assessment of contributing area and riparian buffering along stream networks Water Resources Research 39 1Budyko M I, Miller D H and Miller D H 1974 Climate and life (New York: Academic Press)L’vovich M I 1979 World water resources and their future 13 (Chelsea: LithorCrafters Inc)Xu R 2005 Survey of clustering algorithms for MANET IEEE Transactions on Neural-Networks 16 645Forgy E W 1965 Cluster analysis of multivariate data: Efficiency vs interpretability of classifications Biometrics 21 768MacQueen J 1967 Fifth Berkeley Symposium on Mathematics. Statistics and Probability (Berkeley) 1 (Berkeley: University of California Press) Some methods for classification and analysis of multivariate observations 281Breiman L, Friedman J H, Olshen R A and Stone C J 1984 Classification and regression trees (Boca Raton: Chapman & Hall/CRC)Sawicz K, Wagener T, Sivapalan M, Troch P A and Carrillo G 2011 Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA Hydrology and Earth System Sciences 15 2895Kuentz A, Arheimer B, Hundecha Y and Wagener T 2017 Understanding hydrologic variability across Europe through catchment classification Hydrology and Earth System Sciences 21 2863ORIGINALHydrological similarity of catchments in the southern area of Colombian Andean region.pdfHydrological similarity of catchments in the southern area of Colombian Andean 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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.
0000-0002-2083-69781b1c54c0164cb75e102a975426a978806000000-0001-6772-44319f0bdf54d830286b6e18ffcbfb4b42dd600