Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru

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The present research was held in the basin of the river Ramis, located in the hydrographic region of Titicaca, Peru, with the objective of calibrating and validating the Sacramento hydrological model (SAC-SMA) from a semi-distributed approach. The hydrometeorological information used for rainfall, t...

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Detalles Bibliográficos
Autores: Lujano Laura, Efrain, Sosa Sarmiento, esus David, Lujano Laura, Apolinario, Lujano Laura, Rene
Formato: artículo
Fecha de Publicación:2016
Institución:Universidad Nacional del Altiplano
Repositorio:Revista de Investigaciones Altoandinas
Lenguaje:español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/84
Nivel de acceso:acceso abierto
Materia:RS-MINERVE
river Ramis
sacramento model
semi-distributed modeling
rio Ramis,
modelo sacramento
modelización semidistribuida
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spelling Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, PeruModelación hidrológica semidistribuida en la región hidrográfica del Titicaca: caso de estudio cuenca del río Ramis, PerúLujano Laura, Efrain Sosa Sarmiento, esus David Lujano Laura, Apolinario Lujano Laura, Rene Lujano Laura, Efrain Sosa Sarmiento, esus David Lujano Laura, Apolinario Lujano Laura, Rene RS-MINERVEriver Ramissacramento modelsemi-distributed modelingRS-MINERVErio Ramis,modelo sacramentomodelización semidistribuidaThe present research was held in the basin of the river Ramis, located in the hydrographic region of Titicaca, Peru, with the objective of calibrating and validating the Sacramento hydrological model (SAC-SMA) from a semi-distributed approach. The hydrometeorological information used for rainfall, temperature and flow, correspond to a series of records 2005 - 2016. The methodology of spatial interpolation of meteorological data in the virtual station was estimated using the Shepard procedure and potential evapotranspiration by the model Turc, these methodologies are incorporated in the RSMINERVE platform and are automated estimates. The calibration and validation phase of the model was performed randomly with 70% and 30% of the total data respectively. The statistical evaluation of efficiency and error were measured by the Nash coefficient, Nash coefficient for logarithm values and root mean square error. The results are satisfactory and it is stated that the outputs of the hydrological model adequately represent the flows of avenue and drought, constituting as an alternative for the strengthening of the hydrological forecast at the daily time step of the river Ramis. La presente investigación se realizó en la cuenca del río Ramis, ubicado en la región hidrográfica del Titicaca, Perú, con el objetivo de calibrar y validar el modelo hidrológico Sacramento (SAC-SMA) desde un enfoque semidistribuido. La información hidrometeorológica utilizada de precipitación pluvial, temperatura y caudal, corresponden a una serie de registro 2005 – 2016. La metodología de interpolación espacial de datos meteorológicos en la estación virtual, fue estimada mediante el procedimiento de Shepard y la evapotranspiración potencial por el modelo de Turc, estas metodologías vienen incorporados en la plataforma RS-MINERVE y son estimaciones automatizadas. La fase de calibración y validación del modelo, se realizó de forma aleatoria con el 70% y 30% del total de datos respectivamente. La evaluación estadística de eficiencia y error fueron medidos a través del coeficiente de Nash, coeficiente de Nash para valores del logaritmo y raíz del error medio cuadrático relativo. Los resultados son satisfactorios y se afirma que las salidas del modelo hidrológico representan adecuadamente los caudales de avenida y estiaje, constituyéndose como una alternativa para el fortalecimiento del pronóstico hidrológico a paso de tiempo diario del rio Ramis. Universidad Nacional del Altiplano2016-12-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdf//huajsapata.unap.edu.pe/index.php/ria/article/view/8410.18271/ria.2016.217Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 18 No. 4 (2016); 431-438Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 18 Núm. 4 (2016); 431-4382306-85822313-2957reponame:Revista de Investigaciones Altoandinasinstname:Universidad Nacional del Altiplanoinstacron:UNAPspa//huajsapata.unap.edu.pe/index.php/ria/article/view/84/75Derechos de autor 2020 Revista de Investigaciones Altoandinasinfo:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/842020-09-29T11:11:37Z
dc.title.none.fl_str_mv Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru
Modelación hidrológica semidistribuida en la región hidrográfica del Titicaca: caso de estudio cuenca del río Ramis, Perú
title Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru
spellingShingle Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru
Lujano Laura, Efrain
RS-MINERVE
river Ramis
sacramento model
semi-distributed modeling
RS-MINERVE
rio Ramis,
modelo sacramento
modelización semidistribuida
title_short Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru
title_full Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru
title_fullStr Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru
title_full_unstemmed Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru
title_sort Semi-distributed hydrological modeling in the Titicaca hydrographic region: case study of the Ramis river basin, Peru
dc.creator.none.fl_str_mv Lujano Laura, Efrain
Sosa Sarmiento, esus David
Lujano Laura, Apolinario
Lujano Laura, Rene
Lujano Laura, Efrain
Sosa Sarmiento, esus David
Lujano Laura, Apolinario
Lujano Laura, Rene
author Lujano Laura, Efrain
author_facet Lujano Laura, Efrain
Sosa Sarmiento, esus David
Lujano Laura, Apolinario
Lujano Laura, Rene
author_role author
author2 Sosa Sarmiento, esus David
Lujano Laura, Apolinario
Lujano Laura, Rene
author2_role author
author
author
dc.subject.none.fl_str_mv RS-MINERVE
river Ramis
sacramento model
semi-distributed modeling
RS-MINERVE
rio Ramis,
modelo sacramento
modelización semidistribuida
topic RS-MINERVE
river Ramis
sacramento model
semi-distributed modeling
RS-MINERVE
rio Ramis,
modelo sacramento
modelización semidistribuida
description The present research was held in the basin of the river Ramis, located in the hydrographic region of Titicaca, Peru, with the objective of calibrating and validating the Sacramento hydrological model (SAC-SMA) from a semi-distributed approach. The hydrometeorological information used for rainfall, temperature and flow, correspond to a series of records 2005 - 2016. The methodology of spatial interpolation of meteorological data in the virtual station was estimated using the Shepard procedure and potential evapotranspiration by the model Turc, these methodologies are incorporated in the RSMINERVE platform and are automated estimates. The calibration and validation phase of the model was performed randomly with 70% and 30% of the total data respectively. The statistical evaluation of efficiency and error were measured by the Nash coefficient, Nash coefficient for logarithm values and root mean square error. The results are satisfactory and it is stated that the outputs of the hydrological model adequately represent the flows of avenue and drought, constituting as an alternative for the strengthening of the hydrological forecast at the daily time step of the river Ramis.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-20
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/84
10.18271/ria.2016.217
identifier_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/84
10.18271/ria.2016.217
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/84/75
dc.rights.none.fl_str_mv Derechos de autor 2020 Revista de Investigaciones Altoandinas
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2020 Revista de Investigaciones Altoandinas
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional del Altiplano
publisher.none.fl_str_mv Universidad Nacional del Altiplano
dc.source.none.fl_str_mv Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 18 No. 4 (2016); 431-438
Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 18 Núm. 4 (2016); 431-438
2306-8582
2313-2957
reponame:Revista de Investigaciones Altoandinas
instname:Universidad Nacional del Altiplano
instacron:UNAP
instname_str Universidad Nacional del Altiplano
instacron_str UNAP
institution UNAP
reponame_str Revista de Investigaciones Altoandinas
collection Revista de Investigaciones Altoandinas
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 12.860346
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