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Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time

In this study, the Mean Transit Time and Mixing Model Analysis methods are combined to unravel the runoff generation process of the San Francisco River basin (73.5km2) situated on the Amazonian side of the Cordillera Real in the southernmost Andes of Ecuador. The montane basin is covered with cloud...

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Autor Principal: Feyen, Jan
Formato: Artículos
Lenguaje:eng
Publicado: United Kingdom 2017
Materias:
ANDEAN CLOUD FOREST
HYDROLOGICAL PROCESSES
MEAN TRANSIT TIME
Acceso en línea:http://repositorio.educacionsuperior.gob.ec/handle/28000/3829
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spelling oai:localhost:28000-38292017-04-13T08:01:36Z Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time Feyen, Jan ANDEAN CLOUD FOREST HYDROLOGICAL PROCESSES MEAN TRANSIT TIME In this study, the Mean Transit Time and Mixing Model Analysis methods are combined to unravel the runoff generation process of the San Francisco River basin (73.5km2) situated on the Amazonian side of the Cordillera Real in the southernmost Andes of Ecuador. The montane basin is covered with cloud forest, sub-p?ramo, pasture and ferns. Nested sampling was applied for the collection of stream water samples and discharge measurements in the main tributaries and outlet of the basin, and for the collection of soil and rock water samples. Weekly to biweekly water grab samples were taken at all stations in the period April 2007-November 2008. Hydrometric data, Mean Transit Time and Mixing Model Analysis allowed preliminary evaluation of the processes controlling the runoff in the San Francisco River basin. Results suggest that flow during dry conditions mainly consists of lateral flow through the C-horizon and cracks in the top weathered bedrock layer, and that all sub catchments have an important contribution of this deep water to runoff, no matter whether pristine or deforested. During normal to low precipitation intensities, when antecedent soil moisture conditions favour water infiltration, vertical flow paths to deeper soil horizons with subsequent lateral subsurface flow contribute most to stream flow. Under wet conditions in forested catchments, stream flow is controlled by near surface lateral flow through the organic horizon. Exceptionally, saturation excess overland flow occurs. By absence of the litter layer in pasture, stream flow under wet conditions originates from the A horizon, and overland flow. 2017-04-12T17:50:10Z 2017-04-12T17:50:10Z 2012 article Crespo, Patricio. et al. (2012). Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time. Hydrological Processes. Vol. 26. United Kingdom. pp. 3896-3910 08856087 http://repositorio.educacionsuperior.gob.ec/handle/28000/3829 eng DOI;10.1002 closedAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ pp. 3896-3910 United Kingdom
institution SENESCYT
collection Repositorio SENESCYT
biblioteca Biblioteca Senescyt
language eng
format Artículos
topic ANDEAN CLOUD FOREST
HYDROLOGICAL PROCESSES
MEAN TRANSIT TIME
spellingShingle ANDEAN CLOUD FOREST
HYDROLOGICAL PROCESSES
MEAN TRANSIT TIME
Feyen, Jan
Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time
description In this study, the Mean Transit Time and Mixing Model Analysis methods are combined to unravel the runoff generation process of the San Francisco River basin (73.5km2) situated on the Amazonian side of the Cordillera Real in the southernmost Andes of Ecuador. The montane basin is covered with cloud forest, sub-p?ramo, pasture and ferns. Nested sampling was applied for the collection of stream water samples and discharge measurements in the main tributaries and outlet of the basin, and for the collection of soil and rock water samples. Weekly to biweekly water grab samples were taken at all stations in the period April 2007-November 2008. Hydrometric data, Mean Transit Time and Mixing Model Analysis allowed preliminary evaluation of the processes controlling the runoff in the San Francisco River basin. Results suggest that flow during dry conditions mainly consists of lateral flow through the C-horizon and cracks in the top weathered bedrock layer, and that all sub catchments have an important contribution of this deep water to runoff, no matter whether pristine or deforested. During normal to low precipitation intensities, when antecedent soil moisture conditions favour water infiltration, vertical flow paths to deeper soil horizons with subsequent lateral subsurface flow contribute most to stream flow. Under wet conditions in forested catchments, stream flow is controlled by near surface lateral flow through the organic horizon. Exceptionally, saturation excess overland flow occurs. By absence of the litter layer in pasture, stream flow under wet conditions originates from the A horizon, and overland flow.
author Feyen, Jan
author_facet Feyen, Jan
author_sort Feyen, Jan
title Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time
title_short Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time
title_full Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time
title_fullStr Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time
title_full_unstemmed Preliminary evaluation of the runoff processes in a remote montane cloud forest basin using Mixing Model Analysis and Mean Transit Time
title_sort preliminary evaluation of the runoff processes in a remote montane cloud forest basin using mixing model analysis and mean transit time
publisher United Kingdom
publishDate 2017
url http://repositorio.educacionsuperior.gob.ec/handle/28000/3829
_version_ 1634995194525908992
score 11,871979

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