Search results for "erosion models"

showing 3 items of 3 documents

Measuring Rainfall Kinetic Power in Two Sicilian Experimental Areas by Drop-Size Distribution Data

2023

The rainfall kinetic energy, which affects soil erosion processes, can be calculated by the drop-size distribution (DSD) and falling velocity. This study presents the outcomes derived by the DSDs recorded with the same optical disdrometer in two experimental areas, located in Sicily (southern Italy). Specifically, the DSDs were recorded from March 2017 to December 2019 at Sparacia and from June 2006 to April 2014 at Palermo. The aims of this paper are both to compare the DSDs for the two sites and to evaluate the applicability of Gamma theoretical distribution. Moreover, the relations of rainfall kinetic power vs. rainfall intensity are assessed. Differences in DSDs, especially for rainfall…

Global and Planetary Changeerosion modelsrainfall kinetic energyEcologyerosion modeldrop-size distributionrainfall erosivitysoil lossSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalisoil loNature and Landscape ConservationLand
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A Comprehensive Check of Usle-Based Soil Loss Prediction Models at the Sparacia (South Italy) Site

2020

At first, in this paper a general definition of the event rainfall-runoff erosivity factor for the USLE-based models, REFe = (QR)b1(EI30)b2, in which QR is the event runoff coefficient, EI30 is the single-storm erosion index and b1 and b2 are coefficients, was introduced. The rainfall-runoff erosivity factors of the USLE (b1 = 0, b2 = 1), USLE-M (b1 = b2 = 1), USLE-MB (b1 ≠ 1, b2 = 1), USLE-MR (b1 = 1, b2 ≠ 1), USLE-MM (b1 = b2 ≠ 1) and USLE-M2 (b1 ≠ b2 ≠ 1) can be defined using REFe. Then, the different expressions of REFe were simultaneously tested against a dataset of normalized bare plot soil losses, AeN, collected at the Sparacia (south Italy) site. As expected, the poorest AeN predict…

Runoff coefficientUSLE-type erosion modelsSoil lossSoil loss predictionStatisticsExponentEvent soil loSoil erosionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliPredictive modellingPlot (graphics)MathematicsEvent (probability theory)
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A comprehensive analysis of Universal Soil Loss Equation-based models at the Sparacia experimental area

2020

Improving Universal Soil Loss Equation (USLE)‐based models has large interest because simple and reliable analytical tools are necessary in the perspective of a sustainable land management. At first, in this paper, a general definition of the event rainfall‐ runoff erosivity factor for the USLE‐based models, REFₑ = (QR)ᵇ¹(EI₃₀)ᵇ², in which QR is the event runoff coefficient, EI₃₀ is the single‐storm erosion index, and b₁ and b₂ are coefficients, was introduced. The rainfall‐runoff erosivity factors of the USLE (b₁ = 0 and b₂ = 1), USLE‐M (b₁ = b₂ = 1), USLE‐MB (b₁ ≠ 1 and b₂ = 1), USLE‐MR (b₁ = 1 and b₂ ≠ 1), USLE‐MM (b₁ = b₂ ≠ 1), and USLE‐M2 (b₁ ≠ b₂ ≠ 1) can be defined using REFₑ. Then t…

USLE-type erosion modelssoil erosion010504 meteorology & atmospheric sciencesevent soil lo0207 environmental engineeringsoil loss prediction02 engineering and technology01 natural sciencesPlot (graphics)Term (time)Data setUniversal Soil Loss EquationStatisticsExponentErosionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali020701 environmental engineeringSurface runoff0105 earth and related environmental sciencesWater Science and TechnologyEvent (probability theory)Mathematics
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