0000000000008383
AUTHOR
Francesco Mannocchi
Response to ‘comment on “predicting event soil loss from bare plots at two Italian sites”’
In this paper, a response to the comment by Dr. Kinnell on “Predicting event soil loss from bare plots at two Italian sites”’ (Bagarello et al., Catena 109, 96–102, 2013) is provided.
Effect of plot size on measured soil loss for two Italian experimental sites
The objective of this investigation was to determine empirically the plot width and length effects on runoff volume, Ve, soil loss, Ae, and sediment concentration, Ce, by using data collected, at the temporal scale of the erosive event, on bare plots differing in width (2 to 8 m) and length (11 to 22 m) for two Italian stations (Masse, Umbria; Sparacia, Sicily). Mean results differed by a maximum factor of 1.6 for Ve, 1.8 for Ae and 1.2 for Ce when plots differing in width were compared and by a maximum factor of 1.4 for Ve, 1.2 for Ae and 1.3 for Ce when comparison between plot lengths was conducted. Differences between two plot widths or two plot lengths were not statistically significant…
Caratterizzazione morfologica e idraulica dei rill rilevati nell'area sperimentale di Masse
Nella memoria sono riportati i risultati di un’analisi finalizzata alla validazione in ambiente Umbro di modelli per la quantificazione e la caratterizzazione morfologico-idraulica delle formazioni rill. A tale scopo sono state utilizzate le misure effettuate presso la stazione sperimentale per il monitoraggio dei processi erosivi a scala di parcella in località Masse (Umbria). In seguito a due eventi erosivi (11-01-2010 e 16-05-2011) che hanno prodotto la formazione di rill, è stato effettuato il rilievo della morfologia (lunghezza e sezione) e del profilo degli stessi. Il database di Masse è stato utilizzato, in primo luogo, per la validazione della relazione di potenza che permette la st…
A modified applicative criterion of the physical model concept for evaluating plot soil erosion predictions
Abstract In this paper, the physical model concept by Nearing (1998. Catena 32: 15–22) was assessed. Soil loss data collected on plots of different widths (2–8 m), lengths (11–44 m) and steepnesses (14.9–26.0%), equipped in south and central Italy, were used. Differences in width between plots of given length and steepness determined a lower data correlation and more deviation of the fitted regression line from the identity one. A coefficient of determination between measured, M , and predicted, P , soil losses of 0.77 was representative of the best-case prediction scenario, according to Nearing (1998). The relative differences, Rdiff = ( P − M ) / ( P + M ), decreased in absolute value a…
Statistical check of USLE-M and USLE-MM to predict bare plot soil loss in two Italian environments
The USLE-M and the USLE-MM estimate event plot soil loss. In both models, the erosivity term is given by the runoff coefficient, QR, times the single-storm erosion index, EI30. In the USLE-MM, QREI30is raised to an exponent b1> 1 whereas b1= 1 is assumed in the USLE-M. Simple linear regression analysis can be applied to parameterize both models, but logarithmically transformed data have to be used for USLE-MM. Parameterizing the USLE-MM with nonlinear regression of untransformed data could be a more appropriate procedure. A statistical check of the two suggested models (USLE-M and USLE-MM), considering two alternative parameterization procedures for the USLE-MM, was carried out for the Mass…
Predicting event soil loss from bare plots at two Italian sites
Abstract Including runoff in USLE-type empirical models is expected to improve plot soil loss prediction at the event temporal scale and literature yields encouraging signs of the possibility to simply estimate runoff at these spatial and temporal scales. The objective of this paper was to develop an estimating procedure of event soil loss from bare plots (length = 11–44 m, slope steepness = 14.9–16.0%) at two Italian sites, i.e. Masse, in Umbria, and Sparacia, in Sicily, having a similar sand content (5–7%) but different silt (33% at Sparacia, 59% at Masse) and clay (62% and 34%, respectively) contents. A test of alternative erosivity indices for the Masse station showed that the best perf…