Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Use of Sigs and Physical Variables Generating a New Methodology for the Calculation of Erosivity (Factor R) Case Study Municipality of São Francisco, Rio Pardo Basin

Version 1 : Received: 22 August 2023 / Approved: 23 August 2023 / Online: 24 August 2023 (08:18:56 CEST)

How to cite: Camargo, P.L.T.; Martins Junior, P.P.; Teixeira, M.B.; Madeira, F.A. Use of Sigs and Physical Variables Generating a New Methodology for the Calculation of Erosivity (Factor R) Case Study Municipality of São Francisco, Rio Pardo Basin. Preprints 2023, 2023081716. https://doi.org/10.20944/preprints202308.1716.v1 Camargo, P.L.T.; Martins Junior, P.P.; Teixeira, M.B.; Madeira, F.A. Use of Sigs and Physical Variables Generating a New Methodology for the Calculation of Erosivity (Factor R) Case Study Municipality of São Francisco, Rio Pardo Basin. Preprints 2023, 2023081716. https://doi.org/10.20944/preprints202308.1716.v1

Abstract

The study presented here, through the use of GIS and physical variables, generate a new meth-odology for the calculation of erosivity (Factor R) for the qualitative evaluation of soil loss po-tential (laminar erosion) in the Northwest margin of the municipality of São Francisco, mostly located in the Pardo-MG river basin. The results obtained were statistically correct when com-pared to the traditional R calculation and the laminar erosion methodology. It is worth noting that the new proposal presented here indicated sites of qualitative loss of soil in the same places where there are closed-loop satellite signals of degraded Cerrado, something not identified in the traditional model. As conclusion it can be said that the obtained results were extremely sat-isfactory, being advised more studies to verify this new method proposed here in more places beyond the study area elaborated here

Keywords

Universal Soil Loss Equation; erosivity; Pardo river basin (tributary of the São Francisco river)

Subject

Environmental and Earth Sciences, Geography

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