Soil water content effect in the USLE/RUSLE model to estimate erosion in Uruguay

Authors

  • M. Hill Universidad de la República Facultad de Agronomía Departamento de Suelos y Aguas Av. Gral. Eugenio Garzón 780 Montevideo – Uruguay .
  • F. García Prechac Universidad de la República Facultad de Agronomía Departamento de Suelos y Aguas Av. Gral. Eugenio Garzón 780 Montevideo – Uruguay.
  • J. Terra Instituto Nacional de Investigación Agropecuaria Ruta 8 km 282 Treinta y Tres - Uruguay.
  • J. Sawchik Instituto Nacional de Investigación Agropecuaria Ruta 50 km 11 Colonia - Uruguay.

DOI:

https://doi.org/10.31285/AGRO.12.735

Keywords:

erosion, USLE/RUSLE, soil water content

Abstract

USLE/RUSLE has been tested and used in Uruguay since 1980, but erosion is overestimated when compared with experimental long-term data. It is hypothesized that this is due to not considering the effect of soil water content. The objectives of this work were to prove the hypothesis and to develop a procedure to include the effect of SWC into the erosion estimation with the model. Calculating the RUSLE soil water content subfactor, with experimental data, and including it in the model, the linear regression coefficient between estimated and measured data changed from 1.21 to 0.99 and R2 from 0.93 to 0.97. The best soil water balance procedure to estimate SWC was the one of Témez (1977) calibrated in Uruguay by Genta et al. (2005). Using this balance estimates to calculate the CA subfactor and including it in erosion estimations with USLE/RUSLE, soil erosion overestimation changed from 25 % to 4 %, and R2 , Nash-Sutcliffe index and PBIAS changed from 0.94 to 0.97, 0.73 to 0.97 and -56 to 4, respectively.

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Published

2008-12-01

How to Cite

1.
Hill M, García Prechac F, Terra J, Sawchik J. Soil water content effect in the USLE/RUSLE model to estimate erosion in Uruguay. Agrocienc Urug [Internet]. 2008 Dec. 1 [cited 2024 May 2];12(2):57-6. Available from: https://agrocienciauruguay.uy/index.php/agrociencia/article/view/735

Issue

Section

Soil and Water
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