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Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis.

Weekly samples from surface waters, springs, soil water and rainfall were collected in a 76.9 km2 mountain rain forest catchment and its tributaries in southern Ecuador. Time series of the stable water isotopes ? 18O and ? 2H were used to calculate mean transit times (MTTs) and the transit ti...

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Autor Principal: Feyen, Jan
Formato: Artículos
Lenguaje:eng
Publicado: 2016
Materias:
ANDEAN
UNDERSTANDING
CLOUD
FOREST
Acceso en línea:http://repositorio.educacionsuperior.gob.ec/handle/28000/2791
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spelling oai:localhost:28000-27912017-10-20T13:59:05Z Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis. Feyen, Jan ANDEAN UNDERSTANDING CLOUD FOREST Weekly samples from surface waters, springs, soil water and rainfall were collected in a 76.9 km2 mountain rain forest catchment and its tributaries in southern Ecuador. Time series of the stable water isotopes ? 18O and ? 2H were used to calculate mean transit times (MTTs) and the transit time distribution functions (TTDs) solving the convolution method for seven lumped-parameter models. For each model setup, the generalized likelihood uncertainty estimation (GLUE) methodology was applied to find the best predictions, behavioral solutions and parameter identifiability. For the study basin, TTDs based on model types such as the linear?piston flow for soil waters and the exponential? piston flow for surface waters and springs performed better than more versatile equations such as the gamma and the two parallel linear reservoirs. Notwithstanding both approaches yielded a better goodness of fit for most sites, but with considerable larger uncertainty shown by GLUE. Among the tested models, corresponding results were obtained for soil waters with short MTTs (ranging from 2 to 9 weeks). For waters with longer MTTs differences were found, suggesting that for those cases the MTT should be based at least on an intercomparison of several models. Under dominant baseflow conditions long MTTs for stream water ? 2 yr were detected, a phenomenon also observed for shallow springs. Short MTTs for water in the top soil layer indicate a rapid exchange of surface waters with deeper soil horizons. Differences in travel times between soils suggest that there is evidence of a land use effect on flow generation. https://www.researchgate.net/publication/269036293_Understanding_mean_transit_times_in_Andean_tropical_montane_cloud_forest_catchments_combining_tracer_data_lumped_parameter_models_and_uncertainty_analysis 2016-11-08T18:41:36Z 2016-11-08T18:41:36Z 2013 article Timbe E. et al. (2013). Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis. Hydrology and Earth System Sciences Discussions. Volume 10. pp.15871-15914. 1607-7938 http://repositorio.educacionsuperior.gob.ec/handle/28000/2791 eng openAccess pp.15871-15914.
institution SENESCYT
collection Repositorio SENESCYT
biblioteca Biblioteca Senescyt
language eng
format Artículos
topic ANDEAN
UNDERSTANDING
CLOUD
FOREST
spellingShingle ANDEAN
UNDERSTANDING
CLOUD
FOREST
Feyen, Jan
Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis.
description Weekly samples from surface waters, springs, soil water and rainfall were collected in a 76.9 km2 mountain rain forest catchment and its tributaries in southern Ecuador. Time series of the stable water isotopes ? 18O and ? 2H were used to calculate mean transit times (MTTs) and the transit time distribution functions (TTDs) solving the convolution method for seven lumped-parameter models. For each model setup, the generalized likelihood uncertainty estimation (GLUE) methodology was applied to find the best predictions, behavioral solutions and parameter identifiability. For the study basin, TTDs based on model types such as the linear?piston flow for soil waters and the exponential? piston flow for surface waters and springs performed better than more versatile equations such as the gamma and the two parallel linear reservoirs. Notwithstanding both approaches yielded a better goodness of fit for most sites, but with considerable larger uncertainty shown by GLUE. Among the tested models, corresponding results were obtained for soil waters with short MTTs (ranging from 2 to 9 weeks). For waters with longer MTTs differences were found, suggesting that for those cases the MTT should be based at least on an intercomparison of several models. Under dominant baseflow conditions long MTTs for stream water ? 2 yr were detected, a phenomenon also observed for shallow springs. Short MTTs for water in the top soil layer indicate a rapid exchange of surface waters with deeper soil horizons. Differences in travel times between soils suggest that there is evidence of a land use effect on flow generation.
author Feyen, Jan
author_facet Feyen, Jan
author_sort Feyen, Jan
title Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis.
title_short Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis.
title_full Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis.
title_fullStr Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis.
title_full_unstemmed Understanding mean transit times in Andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis.
title_sort understanding mean transit times in andean tropical montane cloud forest catchments: combining tracer data, lumped parameter models and uncertainty analysis.
publishDate 2016
url http://repositorio.educacionsuperior.gob.ec/handle/28000/2791
_version_ 1634995083590762496
score 11,871979

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