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EnglishAt 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 predictions were obtained with the USLE. A distinction was made among the four power-type models since the fitting to the data was poor with the USLE-MR as compared with the other three models. Estimating two distinct exponents (one for EI30 and another for QR, USLE-M2) instead of a single exponent (USLE-MB, USLE-MR, USLE-MM) did not appreciably improve soil loss prediction. The USLE-MB and the USLE-MM were the best performing models.
Bagarello V., Ferro V., & Pampalone V. (2020). A Comprehensive Check of Usle-Based Soil Loss Prediction Models at the Sparacia (South Italy) Site. In A. Coppola, G.C. Di Renzo, G. Altieri, & P. D'Antonio (a cura di), Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production (pp. 3-11). Springer.
| Data di pubblicazione: | 2020 |
| Titolo: | A Comprehensive Check of Usle-Based Soil Loss Prediction Models at the Sparacia (South Italy) Site |
| Autori: | |
| Citazione: | Bagarello V., Ferro V., & Pampalone V. (2020). A Comprehensive Check of Usle-Based Soil Loss Prediction Models at the Sparacia (South Italy) Site. In A. Coppola, G.C. Di Renzo, G. Altieri, & P. D'Antonio (a cura di), Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production (pp. 3-11). Springer. |
| Abstract: | 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 predictions were obtained with the USLE. A distinction was made among the four power-type models since the fitting to the data was poor with the USLE-MR as compared with the other three models. Estimating two distinct exponents (one for EI30 and another for QR, USLE-M2) instead of a single exponent (USLE-MB, USLE-MR, USLE-MM) did not appreciably improve soil loss prediction. The USLE-MB and the USLE-MM were the best performing models. |
| ISBN: | 978-3-030-39298-7 978-3-030-39299-4 |
| Digital Object Identifier (DOI): | 10.1007/978-3-030-39299-4_1 |
| Settore Scientifico Disciplinare: | Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali |
| Appare nelle tipologie: | 2.07 Contributo in atti di convegno pubblicato in volume |
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