6533b82dfe1ef96bd1291588
RESEARCH PRODUCT
Predicting soil loss in central and south Italy with a single USLE-MM model
Lorenzo VergniFrancesca TodiscoVincenzo PampalonePaolo PortoVincenzo BagarelloVito Ferrosubject
Bare plotsSoil erosion predictionResponsible editor: Philip N. OwenEvent plot soil loStratigraphy0208 environmental biotechnologyBare plotSampling (statistics)SedimentSoil science02 engineering and technology020801 environmental engineeringTerm (time)Soil lossEarth-Surface ProcesseBare plots Event plot soil loss Soil erosion prediction USLE-MMExponentErosionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliUSLE-MMSurface runoffEvent plot soil lossEarth-Surface ProcessesMathematicsEvent (probability theory)description
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.
year | journal | country | edition | language |
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2018-02-22 |