Calibrating a rainfall erosivity assessment model at regional scale in Mediterranean area |
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Authors: | Sergio Grauso Nazzareno Diodato Vladimiro Verrubbi |
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Institution: | (1) Dipartimento Ambiente, Cambiamenti Globali e Sviluppo Sostenibile, ENEA C.R. Casaccia, Via Anguillarese 301, 00123 Rome, Italy;(2) Euro-Mediterranean Centre for Climate Change, TEDASS, University of Sannio, Italy, via Bartolomeo Camerario 35, 82100 Benevento, Italy |
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Abstract: | A simplified regression model is here calibrated on the basis of rainfall data records of Sicily (southern Italy), in order
to show the model reliability in assessing the R-factor of the Universal Soil Loss Equation and its revised version (RUSLE) and to provide an estimate of long-term rainfall
erosivity at medium-regional scale. The proposed model is a rearrangement of a former simplified model, formulated for the
Italian environment, grouping three easily available rainfall variables on various time scales, which has been shown to be
more successful than others in reproducing the rainfall erosive power over different locations of Italy. A geostatistical
interpolation procedure is then applied for generating the regional long-term erosivity map with associated standard error.
Areas with severe erosive rainfalls (from 2,000 up to more than 6,000 MJ mm ha−1 h−1) are pointed out which will correspond to areas suffering from severe soil erosion. Solving the problem of calculating the
R-factor value in the RUSLE equation by means of such a simplified model here formulated will allow to predict the related
soil loss. Moreover, given the availability of long time-series of concerned rainfall data, it will be possible to analyse
the variability of rainfall erosivity within the last 50 years, and to investigate the application of RUSLE or similar soil
erosion models with forecasting purposes of soil erosion risk. |
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