Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)

Descripción del Articulo

The White Cordillera (northern Peru), with a glacial surface of 631 km2, is the largest glacierized mountain range in the Tropics. Due to the lack of physical data from most of its sub-basins, it is difficult to build a physical model to estimate the water resource flowing from the glaciers at the p...

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Detalles Bibliográficos
Autores: Suarez, Wilson, Chevallier, P., Pouyaud, B., López, P.
Formato: artículo
Fecha de Publicación:2008
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/52
Enlace del recurso:http://repositorio.senamhi.gob.pe/handle/20.500.12542/52
https://doi.org/10.1623/hysj.53.1.266
https://hdl.handle.net/20.500.12542/52
Nivel de acceso:acceso abierto
Materia:Glaciares
Peru
Snow melting line
Tropical glacier
Water balance
Water resource
https://purl.org/pe-repo/ocde/ford#1.05.11
gestion de recursos hidricos de cuenca - Agua
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dc.title.en_US.fl_str_mv Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)
title Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)
spellingShingle Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)
Suarez, Wilson
Glaciares
Peru
Snow melting line
Tropical glacier
Water balance
Water resource
https://purl.org/pe-repo/ocde/ford#1.05.11
gestion de recursos hidricos de cuenca - Agua
title_short Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)
title_full Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)
title_fullStr Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)
title_full_unstemmed Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)
title_sort Modelling the water balance in the glacierized Parón Lake basin (White Cordillera, Peru)
author Suarez, Wilson
author_facet Suarez, Wilson
Chevallier, P.
Pouyaud, B.
López, P.
author_role author
author2 Chevallier, P.
Pouyaud, B.
López, P.
author2_role author
author
author
dc.contributor.author.fl_str_mv Suarez, Wilson
Chevallier, P.
Pouyaud, B.
López, P.
dc.subject.en_US.fl_str_mv Glaciares
Peru
Snow melting line
Tropical glacier
Water balance
Water resource
topic Glaciares
Peru
Snow melting line
Tropical glacier
Water balance
Water resource
https://purl.org/pe-repo/ocde/ford#1.05.11
gestion de recursos hidricos de cuenca - Agua
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.11
dc.subject.sinia.none.fl_str_mv gestion de recursos hidricos de cuenca - Agua
description The White Cordillera (northern Peru), with a glacial surface of 631 km2, is the largest glacierized mountain range in the Tropics. Due to the lack of physical data from most of its sub-basins, it is difficult to build a physical model to estimate the water resource flowing from the glaciers at the present time and a fortiori for the future. The most recent GCM simulations indicate a significant increase in the temperature and an accelerated shrinking of the glaciers. Consequently, we sought a model that would be based on the data available within instrumented sub-basins. A theoretical/conceptual water model makes it possible to quantify the local glacier contribution, which could then be applied to the other non-instrumented sub-basins. A total of 43.6% of Parón Lake's instrumented sub-basin area (47.4 km2) corresponds to glacial surfaces. Within this sub-basin, a smaller watershed (8.8 km2), called Artesón, with 72.9% glacierized area, has been accurately observed over a 5-year hydrological period (September 2000-August 2005). This information allowed us to calibrate the model over the Artesón sub-basin. The parameters obtained were applied to the entire Parón basin using the same modelling approach.
publishDate 2008
dc.date.accessioned.none.fl_str_mv 2019-07-20T11:00:27Z
dc.date.available.none.fl_str_mv 2019-07-20T11:00:27Z
dc.date.issued.fl_str_mv 2008
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
dc.type.sinia.none.fl_str_mv text/publicacion cientifica
format article
dc.identifier.uri.none.fl_str_mv http://repositorio.senamhi.gob.pe/handle/20.500.12542/52
dc.identifier.isni.none.fl_str_mv 0000 0001 0746 0446
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1623/hysj.53.1.266
dc.identifier.url.none.fl_str_mv https://hdl.handle.net/20.500.12542/52
url http://repositorio.senamhi.gob.pe/handle/20.500.12542/52
https://doi.org/10.1623/hysj.53.1.266
https://hdl.handle.net/20.500.12542/52
identifier_str_mv 0000 0001 0746 0446
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:0262-6667
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.*.fl_str_mv Attribution-NonCommercial-ShareAlike 3.0 United States
Attribution-NonCommercial-ShareAlike 3.0 United States
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/us/
eu_rights_str_mv openAccess
rights_invalid_str_mv Attribution-NonCommercial-ShareAlike 3.0 United States
http://creativecommons.org/licenses/by-nc-sa/3.0/us/
dc.format.none.fl_str_mv application/pdf
dc.publisher.en_US.fl_str_mv Taylor & Francis
dc.source.es_PE.fl_str_mv Servicio Nacional de Meteorología e Hidrología del Perú– SENAMHI
Repositorio Institucional - SENAMHI
dc.source.none.fl_str_mv reponame:SENAMHI-Institucional
instname:Servicio Nacional de Meteorología e Hidrología del Perú
instacron:SENAMHI
instname_str Servicio Nacional de Meteorología e Hidrología del Perú
instacron_str SENAMHI
institution SENAMHI
reponame_str SENAMHI-Institucional
collection SENAMHI-Institucional
dc.source.volume.es_PE.fl_str_mv 59
dc.source.issue.es_PE.fl_str_mv 1
dc.source.initialpage.es_PE.fl_str_mv 266
dc.source.endpage.es_PE.fl_str_mv 277
dc.source.journal.es_PE.fl_str_mv Hydrological Sciences Journal
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spelling Suarez, WilsonChevallier, P.Pouyaud, B.López, P.2019-07-20T11:00:27Z2019-07-20T11:00:27Z2008http://repositorio.senamhi.gob.pe/handle/20.500.12542/520000 0001 0746 0446https://doi.org/10.1623/hysj.53.1.266https://hdl.handle.net/20.500.12542/52The White Cordillera (northern Peru), with a glacial surface of 631 km2, is the largest glacierized mountain range in the Tropics. Due to the lack of physical data from most of its sub-basins, it is difficult to build a physical model to estimate the water resource flowing from the glaciers at the present time and a fortiori for the future. The most recent GCM simulations indicate a significant increase in the temperature and an accelerated shrinking of the glaciers. Consequently, we sought a model that would be based on the data available within instrumented sub-basins. A theoretical/conceptual water model makes it possible to quantify the local glacier contribution, which could then be applied to the other non-instrumented sub-basins. A total of 43.6% of Parón Lake's instrumented sub-basin area (47.4 km2) corresponds to glacial surfaces. Within this sub-basin, a smaller watershed (8.8 km2), called Artesón, with 72.9% glacierized area, has been accurately observed over a 5-year hydrological period (September 2000-August 2005). This information allowed us to calibrate the model over the Artesón sub-basin. 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