Comparison of Rain Erosivity Models (Factor R) Using Statistical Analysis
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal do Rio de Janeiro
2018-08-01
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| Series: | Anuário do Instituto de Geociências |
| Subjects: | |
| Online Access: | http://www.anuario.igeo.ufrj.br/2018_2/2018_2_133_140.pdf |
| Summary: | 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 |
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| ISSN: | 0101-9759 0101-9759 |