Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia
The Magdalena River, a major fluvial system draining most of the Colombian Andes, has the highest sediment yield of any medium- sized or large river in South America. We examined sediment yield and its response to control variables in the Magdalena drainage basin based on a multi-year dataset of sed...
- Autores:
-
Restrepo, Juan D.
Kjerfve, Bjo¨rn
Hermelin Arbaux, Michel
Restrepo, Juan C.
- Tipo de recurso:
- Fecha de publicación:
- 2005
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/1502
- Acceso en línea:
- http://hdl.handle.net/10784/1502
- Palabra clave:
- EROSIÓN DE SUELOS
CUENCAS HIDROGRÁFICAS
SEDIMENTACIÓN
TRANSPORTE DE SEDIMENTOS
DRENAJE
EROSIÓN
Magdalena river
Sediment yield
Sediment load
Runoff
Regression model
Soil erosion
Watersheds
Sedimentation and deposition
Sediment transport
Drainage
Erosion
Río Magdalena
- Rights
- License
- Acceso restringido
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2014-04-28T21:35:36Z2005-05-042014-04-28T21:35:36Z022-1694http://hdl.handle.net/10784/150210.1016/j.jhydrol.2005.05.002The Magdalena River, a major fluvial system draining most of the Colombian Andes, has the highest sediment yield of any medium- sized or large river in South America. We examined sediment yield and its response to control variables in the Magdalena drainage basin based on a multi-year dataset of sediment loads from 32 tributary catchments. Various morphometric, hydrologic, and climatic variables were estimated in order to understand and predict the variation in sediment yield. Sediment yield varies from 128 to 2200 t kmK2 yrK1 for catchments ranging from 320 to 59,600 km2. The mean sediment yield for 32 sub-basins within the Magdalena basin is w690 t kmK2 yrK1. Mean annual runoff is the dominant control and explains 51% of the observed variance in sediment yield. A multiple regression model, including two control variables, runoff and maximum water discharge, explains 58% of the variance. This model is efficient (MEZ0.89) and is a valuable tool for predicting total sediment yield from tributary catchments in the Magdalena basin. Multiple correlations for those basins corresponding to the upper Magdalena, middle basin, Eastern Cordillera, and catchment areas greater than 2000 km2, explain 75, 77, 89, and 78% of the variance in sediment yield, respectively. Although more variance is explained when dataset are grouped into categories, the models are less efficient (ME!0.72). Within the spatially distributed models, six catchment variables predict sediment yield, including runoff, precipitation, precipitation peakedness, mean elevation, mean water discharge, and relief. These estimators are related to the relative importance of climate and weathering, hillslope erosion, and fluvial transport processes. Time series analysis indicates that significant increases in sediment load have occurred over 68% of the catchment area, while 31% have experienced a decreasing trend in sediment load and thus yield. Land use analysis and increasing sediment load trends indicate that erosion within the catchment has increased over the last 10–20 years.engElsevierJournal of Hydrology, Volume 316, Issues 1-4, 10 January 2006, Pages 213-232http://www.sciencedirect.com/science/article/pii/S0022169405002106Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombiainfo:eu-repo/semantics/articlearticleinfo:eu-repo/semantics/publishedVersionpublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Acceso restringidohttp://purl.org/coar/access_right/c_16ecEROSIÓN DE SUELOSCUENCAS HIDROGRÁFICASSEDIMENTACIÓNTRANSPORTE DE SEDIMENTOSDRENAJEEROSIÓNMagdalena riverSediment yieldSediment loadRunoffRegression modelSoil erosionWatershedsSedimentation and depositionSediment transportDrainageErosionRío MagdalenaUniversidad EAFIT. Departamento de GeologíaMichel Hermelin Arbaux (hermelin@eafit.edu.co)Restrepo, Juan D.Kjerfve, Bjo¨rnHermelin Arbaux, MichelRestrepo, Juan C.Geología Ambiental e Ingeniería Sísmica (GIGAI)Journal of HydrologyORIGINAL022-1694.pdf022-1694.pdfapplication/pdf531085https://repository.eafit.edu.co/bitstreams/c51d79c4-c6d3-40df-a575-b04babe537d7/download9fc6af07ee70a01399071cffbd583a4cMD5110784/1502oai:repository.eafit.edu.co:10784/15022021-09-03 15:22:58.373restrictedhttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia |
title |
Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia |
spellingShingle |
Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia EROSIÓN DE SUELOS CUENCAS HIDROGRÁFICAS SEDIMENTACIÓN TRANSPORTE DE SEDIMENTOS DRENAJE EROSIÓN Magdalena river Sediment yield Sediment load Runoff Regression model Soil erosion Watersheds Sedimentation and deposition Sediment transport Drainage Erosion Río Magdalena |
title_short |
Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia |
title_full |
Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia |
title_fullStr |
Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia |
title_full_unstemmed |
Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia |
title_sort |
Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia |
dc.creator.fl_str_mv |
Restrepo, Juan D. Kjerfve, Bjo¨rn Hermelin Arbaux, Michel Restrepo, Juan C. |
dc.contributor.department.spa.fl_str_mv |
Universidad EAFIT. Departamento de Geología |
dc.contributor.eafitauthor.spa.fl_str_mv |
Michel Hermelin Arbaux (hermelin@eafit.edu.co) |
dc.contributor.author.spa.fl_str_mv |
Restrepo, Juan D. Kjerfve, Bjo¨rn Hermelin Arbaux, Michel Restrepo, Juan C. |
dc.contributor.researchgroup.spa.fl_str_mv |
Geología Ambiental e Ingeniería Sísmica (GIGAI) |
dc.subject.lemb.spa.fl_str_mv |
EROSIÓN DE SUELOS CUENCAS HIDROGRÁFICAS SEDIMENTACIÓN TRANSPORTE DE SEDIMENTOS DRENAJE EROSIÓN |
topic |
EROSIÓN DE SUELOS CUENCAS HIDROGRÁFICAS SEDIMENTACIÓN TRANSPORTE DE SEDIMENTOS DRENAJE EROSIÓN Magdalena river Sediment yield Sediment load Runoff Regression model Soil erosion Watersheds Sedimentation and deposition Sediment transport Drainage Erosion Río Magdalena |
dc.subject.keyword.eng.fl_str_mv |
Magdalena river Sediment yield Sediment load Runoff Regression model Soil erosion Watersheds Sedimentation and deposition Sediment transport Drainage Erosion |
dc.subject.keyword.spa.fl_str_mv |
Río Magdalena |
description |
The Magdalena River, a major fluvial system draining most of the Colombian Andes, has the highest sediment yield of any medium- sized or large river in South America. We examined sediment yield and its response to control variables in the Magdalena drainage basin based on a multi-year dataset of sediment loads from 32 tributary catchments. Various morphometric, hydrologic, and climatic variables were estimated in order to understand and predict the variation in sediment yield. Sediment yield varies from 128 to 2200 t kmK2 yrK1 for catchments ranging from 320 to 59,600 km2. The mean sediment yield for 32 sub-basins within the Magdalena basin is w690 t kmK2 yrK1. Mean annual runoff is the dominant control and explains 51% of the observed variance in sediment yield. A multiple regression model, including two control variables, runoff and maximum water discharge, explains 58% of the variance. This model is efficient (MEZ0.89) and is a valuable tool for predicting total sediment yield from tributary catchments in the Magdalena basin. Multiple correlations for those basins corresponding to the upper Magdalena, middle basin, Eastern Cordillera, and catchment areas greater than 2000 km2, explain 75, 77, 89, and 78% of the variance in sediment yield, respectively. Although more variance is explained when dataset are grouped into categories, the models are less efficient (ME!0.72). Within the spatially distributed models, six catchment variables predict sediment yield, including runoff, precipitation, precipitation peakedness, mean elevation, mean water discharge, and relief. These estimators are related to the relative importance of climate and weathering, hillslope erosion, and fluvial transport processes. Time series analysis indicates that significant increases in sediment load have occurred over 68% of the catchment area, while 31% have experienced a decreasing trend in sediment load and thus yield. Land use analysis and increasing sediment load trends indicate that erosion within the catchment has increased over the last 10–20 years. |
publishDate |
2005 |
dc.date.issued.none.fl_str_mv |
2005-05-04 |
dc.date.available.none.fl_str_mv |
2014-04-28T21:35:36Z |
dc.date.accessioned.none.fl_str_mv |
2014-04-28T21:35:36Z |
dc.type.eng.fl_str_mv |
info:eu-repo/semantics/article article info:eu-repo/semantics/publishedVersion publishedVersion |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
022-1694 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/1502 |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.jhydrol.2005.05.002 |
identifier_str_mv |
022-1694 10.1016/j.jhydrol.2005.05.002 |
url |
http://hdl.handle.net/10784/1502 |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.eng.fl_str_mv |
Journal of Hydrology, Volume 316, Issues 1-4, 10 January 2006, Pages 213-232 |
dc.relation.uri.none.fl_str_mv |
http://www.sciencedirect.com/science/article/pii/S0022169405002106 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.local.spa.fl_str_mv |
Acceso restringido |
rights_invalid_str_mv |
Acceso restringido http://purl.org/coar/access_right/c_16ec |
dc.publisher.spa.fl_str_mv |
Elsevier |
institution |
Universidad EAFIT |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/c51d79c4-c6d3-40df-a575-b04babe537d7/download |
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9fc6af07ee70a01399071cffbd583a4c |
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repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
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1814110536599601152 |