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dc.contributor.author
Braud. I.
dc.contributor.author
Vich, Alberto Ismael Juan
dc.contributor.author
Zuluaga, J
dc.contributor.author
Fornero, Luis Alberto Tomás
dc.contributor.author
Pedrani, A.
dc.date.available
2018-03-27T15:00:32Z
dc.date.issued
2001-12
dc.identifier.citation
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
dc.identifier.issn
0022-1694
dc.identifier.uri
http://hdl.handle.net/11336/40128
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Andes
dc.subject
Distributed Model
dc.subject
Landsat Tm Images
dc.subject
Runoff
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Sediment
dc.subject
Vegetation
dc.subject.classification
Meteorología y Ciencias Atmosféricas
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Vegetation influence on runoff and sediment yield in the Andes region: Observation and modelling
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-03-16T15:29:18Z
dc.journal.volume
254
dc.journal.number
1-4
dc.journal.pagination
124-144
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Braud. I.. LTH; Francia
dc.description.fil
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
dc.description.fil
Fil: Zuluaga, J. INA-CRA; Argentina
dc.description.fil
Fil: Fornero, Luis Alberto Tomás. Instituto Nacional del Agua; Argentina
dc.description.fil
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
dc.journal.title
Journal Of Hydrology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0022169401005005
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/S0022-1694(01)00500-5
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