Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling

Autores
Braud. I.; Vich, Alberto Ismael Juan; Zuluaga, J; Fornero, Luis Alberto Tomás; Pedrani, A.
Año de publicación
2001
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Precordillera of the Andes Mountains (Mendoza, Argentina) is prone to severe flash floods, caused by heavy rainfall events of short duration and high intensities. Two catchments were instrumented in order to study the rainfall-runoff process and soil management impact on runoff and/or sediment yield. In the first catchment (Divisadero Largo, DL, 5.47 km2), characterized by a large heterogeneity of surface geology, a data set of about 50 rainfall-runoff events covering the 1983-1994 period was available. Vegetation cover changed significantly after the catchment was enclosed in 1989-1990. This change was successfully mapped using Landsat TM image analysis. The second catchment (Cuenca Aluvional Piloto, CAP, 35 ha), the soil of which was homogeneous, was instrumented in 1992 for total runoff and sediment yield measurements. Three small plots of 3 × 10 m2 (bare soil, 42 and 60% vegetation cover) and three sub catchments (2-4.5 ha) were delimited with different average vegetation cover. Data analysis showed the difficulty in relating runoff volume and sediment yield to simple descriptors of the catchments such as the average slope and/or the average vegetation cover. The DL and CAP catchments were modelled using the Areal Non Point Source Watershed Environment Response Simulation (ANSWERS) model with contrasting results. Good agreement between model and observation could be achieved after calibration on the 3 × 10 m2 plots, but the model failed to correctly reproduce runoff on the three 2-4.5 ha CAP sub-catchments using the values calibrated on the small plots. Better results were obtained on the larger and heterogeneous DL basin, where surface geology variations and rainfall variability seemed to be the most influential factors. In this case, no sensitivity to vegetation coverage changes, induced when enclosing the catchment, was found. On the other hand, the model proved sensitive to differences in vegetation cover at smaller scales when the geology was homogeneous. © 2001 Elsevier Science B.V. All rights reserved.
Fil: Braud. I.. LTH; Francia
Fil: Vich, Alberto Ismael Juan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Zuluaga, J. INA-CRA; Argentina
Fil: Fornero, Luis Alberto Tomás. Instituto Nacional del Agua; Argentina
Fil: Pedrani, A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Materia
Andes
Distributed Model
Landsat Tm Images
Runoff
Sediment
Vegetation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/40128
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/40128
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Vegetation influence on runoff and sediment yield in the Andes region: Observation and modellingBraud. I.Vich, Alberto Ismael JuanZuluaga, JFornero, Luis Alberto TomásPedrani, A.AndesDistributed ModelLandsat Tm ImagesRunoffSedimentVegetationhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The Precordillera of the Andes Mountains (Mendoza, Argentina) is prone to severe flash floods, caused by heavy rainfall events of short duration and high intensities. Two catchments were instrumented in order to study the rainfall-runoff process and soil management impact on runoff and/or sediment yield. In the first catchment (Divisadero Largo, DL, 5.47 km2), characterized by a large heterogeneity of surface geology, a data set of about 50 rainfall-runoff events covering the 1983-1994 period was available. Vegetation cover changed significantly after the catchment was enclosed in 1989-1990. This change was successfully mapped using Landsat TM image analysis. The second catchment (Cuenca Aluvional Piloto, CAP, 35 ha), the soil of which was homogeneous, was instrumented in 1992 for total runoff and sediment yield measurements. Three small plots of 3 × 10 m2 (bare soil, 42 and 60% vegetation cover) and three sub catchments (2-4.5 ha) were delimited with different average vegetation cover. Data analysis showed the difficulty in relating runoff volume and sediment yield to simple descriptors of the catchments such as the average slope and/or the average vegetation cover. The DL and CAP catchments were modelled using the Areal Non Point Source Watershed Environment Response Simulation (ANSWERS) model with contrasting results. Good agreement between model and observation could be achieved after calibration on the 3 × 10 m2 plots, but the model failed to correctly reproduce runoff on the three 2-4.5 ha CAP sub-catchments using the values calibrated on the small plots. Better results were obtained on the larger and heterogeneous DL basin, where surface geology variations and rainfall variability seemed to be the most influential factors. In this case, no sensitivity to vegetation coverage changes, induced when enclosing the catchment, was found. On the other hand, the model proved sensitive to differences in vegetation cover at smaller scales when the geology was homogeneous. © 2001 Elsevier Science B.V. All rights reserved.Fil: Braud. I.. LTH; FranciaFil: Vich, Alberto Ismael Juan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Zuluaga, J. INA-CRA; ArgentinaFil: Fornero, Luis Alberto Tomás. Instituto Nacional del Agua; ArgentinaFil: Pedrani, A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaElsevier Science2001-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/40128Braud. I.; Vich, Alberto Ismael Juan; Zuluaga, J; Fornero, Luis Alberto Tomás; Pedrani, A.; Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling; Elsevier Science; Journal Of Hydrology; 254; 1-4; 12-2001; 124-1440022-1694CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0022169401005005info:eu-repo/semantics/altIdentifier/doi/10.1016/S0022-1694(01)00500-5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:12:13Zoai:ri.conicet.gov.ar:11336/40128instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:12:13.697CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
title Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
spellingShingle Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
Braud. I.
Andes
Distributed Model
Landsat Tm Images
Runoff
Sediment
Vegetation
title_short Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
title_full Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
title_fullStr Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
title_full_unstemmed Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
title_sort Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
dc.creator.none.fl_str_mv Braud. I.
Vich, Alberto Ismael Juan
Zuluaga, J
Fornero, Luis Alberto Tomás
Pedrani, A.
author Braud. I.
author_facet Braud. I.
Vich, Alberto Ismael Juan
Zuluaga, J
Fornero, Luis Alberto Tomás
Pedrani, A.
author_role author
author2 Vich, Alberto Ismael Juan
Zuluaga, J
Fornero, Luis Alberto Tomás
Pedrani, A.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Andes
Distributed Model
Landsat Tm Images
Runoff
Sediment
Vegetation
topic Andes
Distributed Model
Landsat Tm Images
Runoff
Sediment
Vegetation
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The Precordillera of the Andes Mountains (Mendoza, Argentina) is prone to severe flash floods, caused by heavy rainfall events of short duration and high intensities. Two catchments were instrumented in order to study the rainfall-runoff process and soil management impact on runoff and/or sediment yield. In the first catchment (Divisadero Largo, DL, 5.47 km2), characterized by a large heterogeneity of surface geology, a data set of about 50 rainfall-runoff events covering the 1983-1994 period was available. Vegetation cover changed significantly after the catchment was enclosed in 1989-1990. This change was successfully mapped using Landsat TM image analysis. The second catchment (Cuenca Aluvional Piloto, CAP, 35 ha), the soil of which was homogeneous, was instrumented in 1992 for total runoff and sediment yield measurements. Three small plots of 3 × 10 m2 (bare soil, 42 and 60% vegetation cover) and three sub catchments (2-4.5 ha) were delimited with different average vegetation cover. Data analysis showed the difficulty in relating runoff volume and sediment yield to simple descriptors of the catchments such as the average slope and/or the average vegetation cover. The DL and CAP catchments were modelled using the Areal Non Point Source Watershed Environment Response Simulation (ANSWERS) model with contrasting results. Good agreement between model and observation could be achieved after calibration on the 3 × 10 m2 plots, but the model failed to correctly reproduce runoff on the three 2-4.5 ha CAP sub-catchments using the values calibrated on the small plots. Better results were obtained on the larger and heterogeneous DL basin, where surface geology variations and rainfall variability seemed to be the most influential factors. In this case, no sensitivity to vegetation coverage changes, induced when enclosing the catchment, was found. On the other hand, the model proved sensitive to differences in vegetation cover at smaller scales when the geology was homogeneous. © 2001 Elsevier Science B.V. All rights reserved.
Fil: Braud. I.. LTH; Francia
Fil: Vich, Alberto Ismael Juan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Zuluaga, J. INA-CRA; Argentina
Fil: Fornero, Luis Alberto Tomás. Instituto Nacional del Agua; Argentina
Fil: Pedrani, A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
description The Precordillera of the Andes Mountains (Mendoza, Argentina) is prone to severe flash floods, caused by heavy rainfall events of short duration and high intensities. Two catchments were instrumented in order to study the rainfall-runoff process and soil management impact on runoff and/or sediment yield. In the first catchment (Divisadero Largo, DL, 5.47 km2), characterized by a large heterogeneity of surface geology, a data set of about 50 rainfall-runoff events covering the 1983-1994 period was available. Vegetation cover changed significantly after the catchment was enclosed in 1989-1990. This change was successfully mapped using Landsat TM image analysis. The second catchment (Cuenca Aluvional Piloto, CAP, 35 ha), the soil of which was homogeneous, was instrumented in 1992 for total runoff and sediment yield measurements. Three small plots of 3 × 10 m2 (bare soil, 42 and 60% vegetation cover) and three sub catchments (2-4.5 ha) were delimited with different average vegetation cover. Data analysis showed the difficulty in relating runoff volume and sediment yield to simple descriptors of the catchments such as the average slope and/or the average vegetation cover. The DL and CAP catchments were modelled using the Areal Non Point Source Watershed Environment Response Simulation (ANSWERS) model with contrasting results. Good agreement between model and observation could be achieved after calibration on the 3 × 10 m2 plots, but the model failed to correctly reproduce runoff on the three 2-4.5 ha CAP sub-catchments using the values calibrated on the small plots. Better results were obtained on the larger and heterogeneous DL basin, where surface geology variations and rainfall variability seemed to be the most influential factors. In this case, no sensitivity to vegetation coverage changes, induced when enclosing the catchment, was found. On the other hand, the model proved sensitive to differences in vegetation cover at smaller scales when the geology was homogeneous. © 2001 Elsevier Science B.V. All rights reserved.
publishDate 2001
dc.date.none.fl_str_mv 2001-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/40128
Braud. I.; Vich, Alberto Ismael Juan; Zuluaga, J; Fornero, Luis Alberto Tomás; Pedrani, A.; Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling; Elsevier Science; Journal Of Hydrology; 254; 1-4; 12-2001; 124-144
0022-1694
CONICET Digital
CONICET
url http://hdl.handle.net/11336/40128
identifier_str_mv Braud. I.; Vich, Alberto Ismael Juan; Zuluaga, J; Fornero, Luis Alberto Tomás; Pedrani, A.; Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling; Elsevier Science; Journal Of Hydrology; 254; 1-4; 12-2001; 124-144
0022-1694
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0022169401005005
info:eu-repo/semantics/altIdentifier/doi/10.1016/S0022-1694(01)00500-5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.238319

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