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Título : | Do mixing models with different input requirement yield similar streamflow source contributions? Case study: a tropical montane catchment |
Autor: | Crespo Sanchez, Patricio Javier Ramón Flores, Jorge David Correa Barahona, Alicia Beatriz Timbe Castro, Edison Patricio Mosquera Rojas, Giovanny Mauricio Mora Abril, Enmita Lucia |
Correspondencia: | Crespo Sanchez, Patricio Javier, patricio.crespo@ucuenca.edu.ec |
Palabras clave : | Tropical montane páramo Headwater catchment Mixing models Streamflow Tracers |
Área de conocimiento FRASCATI amplio: | 1. Ciencias Naturales y Exactas |
Área de conocimiento FRASCATI detallado: | 1.5.10 Recursos Hídricos |
Área de conocimiento FRASCATI específico: | 1.5 Ciencias de la Tierra y el Ambiente |
Área de conocimiento UNESCO amplio: | 05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas |
ÁArea de conocimiento UNESCO detallado: | 0521 - Ciencias Ambientales |
Área de conocimiento UNESCO específico: | 052 - Medio Ambiente |
Fecha de publicación : | 2021 |
Volumen: | Volumen 35, número 6 |
Fuente: | Hydrological Processes |
metadata.dc.identifier.doi: | 10.1002/hyp.13814 |
Tipo: | ARTÍCULO |
Abstract: | Hydrogeochemical based mixing models have been successfully used to investigate the composition and source identification of streamflow. The applicability of these models is limited due to the high costs associated with data collection and the hydrogeochemical analysis of water samples. Fortunately, a variety of mixing models exist, requiting different amount of data as input, and in data scarce regions it is likely that preference will be given to models with the lowest requirement of input data. An unanswered question is if models with high or low input requirement are equally accurate. To this end, the performance of two mixing models with different input requirement, the mixing model analysis (MMA) and the end-member mixing analysis (EMMA), were verified on a tropical montane headwater catchment (21.7 km2) in the Ecuadorian Andes. Nineteen hydrogeochemical tracers were measured on water samples collected weekly during 3 years in streamflow and eight potential water sources or end-members (precipitation, lake water, soil water from different horizons and springs). Results based on 6 conservative tracers, revealed that EMMA (using all tracers) and MMA (using pair-combinations out of the 6 conservative ones), identified the same end-members: rainfall, soil water and spring water., as well as, similar contribution fractions to streamflow from rainfall 21.9% and 21.4%, soil water 52.7% and 52.3%, and spring water 26.1% and 28.7%, respectively. Our findings show that a hydrogeochemical mixing model requiring a few tracers can provide similar outcomes than models demanding more tracers as input data. This underlines the value of a preliminary detailed hydrogeochemical characterization as basis to derive the most cost-efficient monitoring strategy. |
Resumen : | Hydrogeochemical based mixing models have been successfully used to investigate the composition and source identification of streamflow. The applicability of these models is limited due to the high costs associated with data collection and the hydrogeochemical analysis of water samples. Fortunately, a variety of mixing models exist, requiting different amount of data as input, and in data scarce regions it is likely that preference will be given to models with the lowest requirement of input data. An unanswered question is if models with high or low input requirement are equally accurate. To this end, the performance of two mixing models with different input requirement, the mixing model analysis (MMA) and the end-member mixing analysis (EMMA), were verified on a tropical montane headwater catchment (21.7 km2) in the Ecuadorian Andes. Nineteen hydrogeochemical tracers were measured on water samples collected weekly during 3 years in streamflow and eight potential water sources or end-members (precipitation, lake water, soil water from different horizons and springs). Results based on 6 conservative tracers, revealed that EMMA (using all tracers) and MMA (using pair-combinations out of the 6 conservative ones), identified the same end-members: rainfall, soil water and spring water., as well as, similar contribution fractions to streamflow from rainfall 21.9% and 21.4%, soil water 52.7% and 52.3%, and spring water 26.1% and 28.7%, respectively. Our findings show that a hydrogeochemical mixing model requiring a few tracers can provide similar outcomes than models demanding more tracers as input data. This underlines the value of a preliminary detailed hydrogeochemical characterization as basis to derive the most cost-efficient monitoring strategy. |
URI : | http://dspace.ucuenca.edu.ec/handle/123456789/36909 https://onlinelibrary.wiley.com/doi/full/10.1002/hyp.14209 |
URI Fuente: | https://onlinelibrary.wiley.com/toc/10991085/2021/35/6 |
ISSN : | 0885-6087 |
Aparece en las colecciones: | Artículos
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