Comparison of Rain Erosivity Models (Factor R) Using Statistical Analysis

• Main Authors: Edwaldo Henrique Bazana Barbosa, Carlos Nobuyoshi Ide, Fábio Veríssimo Gonçalves
• Format: Article
• Language: English
• Published: Universidade Federal do Rio de Janeiro 2018-08-01
• Series: Anuário do Instituto de Geociências
• Subjects: Multivariate analysis; Rain erosivity; Inverse Distance Weighting
• Online Access: http://www.anuario.igeo.ufrj.br/2018_2/2018_2_133_140.pdf

Comparison of rain erosivity models (Factor R) using statistical analysis. Modeling natural systems contributes to the understanding of the landscape variations, associated to the potential of renewable resources and the natural environments fragilities. The application of generalized equations and regionalization methods were evaluated using statistical analysis of rainfall erosion (Factor R), an USLE component, in the Coxim river water basin – Alto Taquari, Mato Grosso do Sul, Brazil. Different meteorological stations data set were used to solve two distinct equations to calculate the rain erosivity. The results were compared to Galdino et al. (2004) equation using multivariate statistical analysis. Geoprocessing techniques enabled the specialization of the Factor (R) through Inverse Distance Weighting (IDW). Our findings indicated that the applications of generalized equations overestimate rain erosivity values and affect the real directions of energy dissipation (surface runoff) in a river basin