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

Authors

  • Filipe Behrends Kraemer Cátedra de Manejo y Conservación de Suelos. Facultad de Agronomía UBA. Av. San Martín 4453. Buenos Aires. Argentina. C. P. 1417.
  • Celio Ignacio Chagas Cátedra de Manejo y Conservación de Suelos. Facultad de Agronomía UBA. Av. San Martín 4453. Buenos Aires. Argentina. C. P. 1417.
  • Gabriel Vázquez-Amábile Facultad de Ciencias Agrarias y Forestales, Universidad de La Plata. Diagonal 113. N° 469. 3er Piso. C. P. 1900. La Plata. Buenos Aires. Argentina
  • Marta Paz Cátedra de Manejo y Conservación de Suelos. Facultad de Agronomía UBA. Av. San Martín 4453. Buenos Aires. Argentina. C. P. 1417.
  • Juan Agustín Moretton Cátedra de Manejo y Conservación de Suelos. Facultad de Agronomía UBA. Av. San Martín 4453. Buenos Aires. Argentina. C. P. 1417.

Keywords:

biological contamination, water quality, modeling

Abstract

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.

Published

10-02-2022

Issue

Section

Scientific articles