Estimation of fecal coliforms contamination scenarios in a microbasin of the Rolling Pampa of Argentina by using a predictive model

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Biological contamination dynamic was assessed in a microbasin of the Rolling Pampa of Argentina trough the study of the bacterial partition coefficient (BactKdQ) of SWAT model (Soil and Water Assessment Tool). Biological contamination sceneries were estimated for two stocking rates (0.5 and 1 Animal...

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Autores principales: Behrends Kraemer, Filipe, Chagas, Celio Ignacio, Vázquez-Amábile, Gabriel, Paz, Marta, Moretton, Juan Agustín
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Ciencias Agrarias-UNCuyo 2022
Materias:
biological contamination
water quality
modeling
contaminación biológica
calidad de aguas
modelización
Acceso en línea:https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5606
Aporte de:
Revista de la Facultad de Ciencias Agrarias UNCuyo de Universidad Nacional de Cuyo
id I11-R107article-5606
record_format ojs
institution Universidad Nacional de Cuyo
institution_str I-11
repository_str R-107
container_title_str Revista de la Facultad de Ciencias Agrarias UNCuyo
language Español
format Artículo revista
topic biological contamination
water quality
modeling
contaminación biológica
calidad de aguas
modelización
spellingShingle biological contamination
water quality
modeling
contaminación biológica
calidad de aguas
modelización
Behrends Kraemer, Filipe
Chagas, Celio Ignacio
Vázquez-Amábile, Gabriel
Paz, Marta
Moretton, Juan Agustín
Estimation of fecal coliforms contamination scenarios in a microbasin of the Rolling Pampa of Argentina by using a predictive model
topic_facet biological contamination
water quality
modeling
contaminación biológica
calidad de aguas
modelización
author Behrends Kraemer, Filipe
Chagas, Celio Ignacio
Vázquez-Amábile, Gabriel
Paz, Marta
Moretton, Juan Agustín
author_facet Behrends Kraemer, Filipe
Chagas, Celio Ignacio
Vázquez-Amábile, Gabriel
Paz, Marta
Moretton, Juan Agustín
author_sort Behrends Kraemer, Filipe
title Estimation of fecal coliforms contamination scenarios in a microbasin of the Rolling Pampa of Argentina by using a predictive model
title_short Estimation of fecal coliforms contamination scenarios in a microbasin of the Rolling Pampa of Argentina by using a predictive model
title_full Estimation of fecal coliforms contamination scenarios in a microbasin of the Rolling Pampa of Argentina by using a predictive model
title_fullStr Estimation of fecal coliforms contamination scenarios in a microbasin of the Rolling Pampa of Argentina by using a predictive model
title_full_unstemmed Estimation of fecal coliforms contamination scenarios in a microbasin of the Rolling Pampa of Argentina by using a predictive model
title_sort estimation of fecal coliforms contamination scenarios in a microbasin of the rolling pampa of argentina by using a predictive model
description Biological contamination dynamic was assessed in a microbasin of the Rolling Pampa of Argentina trough the study of the bacterial partition coefficient (BactKdQ) of SWAT model (Soil and Water Assessment Tool). Biological contamination sceneries were estimated for two stocking rates (0.5 and 1 Animal Units) using two values of BactKdQ: the value set by default in SWAT model (175 m3 Mg-1) and a real value measured in situ (10 m3 Mg-1). For the real scenery, a close relationship between rainfall and runoff events and biological contamination of water courses was confirmed. Real BactKdQ values, yet still low, significantly influenced the dynamics of transport of fecal coliforms. Therefore it is of interest to include parameters such as BactKdQ measured locally instead of those that the SWAT sets as default. In addition, we observed a high concentration of fecal coliforms in the microbasin, pointing it as an environment with high risk of biological contamination, since for this application of SWAT model all the guidelines were exceeded. This work highlights the importance of using computational models to support both production and environmental decisions.
publisher Facultad de Ciencias Agrarias-UNCuyo
publishDate 2022
url https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5606
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first_indexed 2022-06-20T13:53:59Z
last_indexed 2022-06-20T13:53:59Z
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