Assessing the Global Sensitivity of RUSLE Factors: A Case Study of Southern Bahia, Brazil

Assessing the Global Sensitivity of RUSLE Factors: A Case Study of Southern Bahia, Brazil

Global sensitivity analysis (GSA) of the revised universal soil loss equation (RUSLE) factors is in its infancy but is crucial to rank the importance of each factor in terms of its non-linear impact on the soil erosion rate. Hence, the goal of this study was to perform a GSA of each factor of RUSLE...

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Bibliographic Details
Main Authors: Mathurin François, Camila A. Gordon, Ulisses Costa de Oliveira, Alain N. Rousseau, Eduardo Mariano-Neto
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Soil Systems
Subjects:
erodibility
uncertainty analysis
soil loss assessment
variogram analysis of response surfaces
sheet and rill erosion
Online Access:https://www.mdpi.com/2571-8789/8/4/125
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Summary:Global sensitivity analysis (GSA) of the revised universal soil loss equation (RUSLE) factors is in its infancy but is crucial to rank the importance of each factor in terms of its non-linear impact on the soil erosion rate. Hence, the goal of this study was to perform a GSA of each factor of RUSLE for a soil erosion assessment in southern Bahia, Brazil. To meet this goal, three non-linear topographic factor (<i>LS</i> factor) equations alternately implemented in RUSLE, coupled with geographic information system (GIS) software and a variogram analysis of the response surfaces (VARSs), were used. The results showed that the average soil erosion rate in the Pardo River basin was 25.02 t/ha/yr. In addition, the GSA analysis showed that the slope angle which is associated with the <i>LS</i> factor was the most sensitive parameter, followed by the cover management factor (<i>C</i> factor) and the support practices factor (<i>P</i> factor) (<i>CP</i> factors), the specific catchment area (<i>SCA</i>), the sheet erosion (<i>m</i>), the erodibility factor (<i>K</i> factor), the rill (<i>n</i>), and the erosivity factor (<i>R</i> factor). The novelty of this work is that the values of parameters <i>m</i> and <i>n</i> of the <i>LS</i> factor can substantially affect this factor and, thus, the soil loss estimation.
ISSN:2571-8789

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