Purpose: The USLE-MM estimates event normalized plot soil loss, Ae,N, by an erosivity term given by the runoff coefficient, QR, times the single-storm erosion index, EI30, raised to an exponent b1> 1. This modeling scheme is based on an expected power relationship, with an exponent greater than one, between event sediment concentration, Ce, and the EI30/Pe(Pe= rainfall depth) term. In this investigation, carried out at the three experimental sites of Bagnara, Masse, and Sparacia, in Italy; the soundness of the USLE-MM scheme was tested. Materials and methods: A total of 1192 (Ae,N, QREI30) data pairs were used to parameterize the model both locally and considering all sites simultaneously. The performances of the fitted models were established by considering all erosive events and also by distinguishing between events of different severity. Results and discussion: The b1exponent varied widely among the three sites (1.05â1.44) but using a common exponent (1.18) for these sites was possible. The Ae,Nprediction accuracy increased in the passage from the smallest erosion events (Ae,N⤠1 Mg haâ1, median error = 3.35) to the largest ones (Ae,N> 10 Mg haâ1, median error = 1.72). The QREI30term was found to be usable to predict both Ae,Nand the expected maximum uncertainty of this prediction. Soil erodibility was found to be mainly controlled by the largest erosion events. Conclusions: Development of a single USLE-MM model appears possible. Sampling other sites is advisable to develop a single USLE-MM model for a general use.
Bagarello, V., Ferro, V., Pampalone, V., Porto, P., Todisco, F., Vergni, L. (2018). Predicting soil loss in central and south Italy with a single USLE-MM model. JOURNAL OF SOILS AND SEDIMENTS, 18, 3365-3377 [10.1007/s11368-018-1953-z].
Predicting soil loss in central and south Italy with a single USLE-MM model
Bagarello, Vincenzo
;Ferro, Vito;Pampalone, Vincenzo;
2018-01-01
Abstract
Purpose: The USLE-MM estimates event normalized plot soil loss, Ae,N, by an erosivity term given by the runoff coefficient, QR, times the single-storm erosion index, EI30, raised to an exponent b1> 1. This modeling scheme is based on an expected power relationship, with an exponent greater than one, between event sediment concentration, Ce, and the EI30/Pe(Pe= rainfall depth) term. In this investigation, carried out at the three experimental sites of Bagnara, Masse, and Sparacia, in Italy; the soundness of the USLE-MM scheme was tested. Materials and methods: A total of 1192 (Ae,N, QREI30) data pairs were used to parameterize the model both locally and considering all sites simultaneously. The performances of the fitted models were established by considering all erosive events and also by distinguishing between events of different severity. Results and discussion: The b1exponent varied widely among the three sites (1.05â1.44) but using a common exponent (1.18) for these sites was possible. The Ae,Nprediction accuracy increased in the passage from the smallest erosion events (Ae,N⤠1 Mg haâ1, median error = 3.35) to the largest ones (Ae,N> 10 Mg haâ1, median error = 1.72). The QREI30term was found to be usable to predict both Ae,Nand the expected maximum uncertainty of this prediction. Soil erodibility was found to be mainly controlled by the largest erosion events. Conclusions: Development of a single USLE-MM model appears possible. Sampling other sites is advisable to develop a single USLE-MM model for a general use.File | Dimensione | Formato | |
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