Search results for "Bare plot"

showing 3 items of 3 documents

Predicting maximum annual values of event soil loss by USLE-type models

2017

Abstract Previous experimental investigations showed that a large proportion of total plot soil erosion over a long time period is generally due to relatively few, large storms. Consequently, erosion models able to accurately predict the highest plot soil loss values have practical importance since they could allow to improve the design of soil conservation practices in an area of interest. At present USLE-based models are attractive from a practical point of view, since the input data are generally easy to obtain. The USLE was developed with specific reference to the mean annual temporal scale but it was also applied at the event scale. Other models, such as the USLE-M and the USLE-MM, app…

Annual maximaHydrologyData collectionScale (ratio)0208 environmental biotechnologyBare plotEvent soil lo04 agricultural and veterinary sciences02 engineering and technology020801 environmental engineeringData setUniversal Soil Loss Equation040103 agronomy & agricultureErosionUSLE-MUSLE-MMSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0401 agriculture forestry and fisheriesEnvironmental scienceUSLESurface runoffSoil conservationEarth-Surface ProcessesEvent (probability theory)CATENA
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Predicting soil loss in central and south Italy with a single USLE-MM model

2018

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. …

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)
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Analysis of soil loss data from plots of differing length for the Sparacia experimental area, Sicily, Italy

2010

Widely used models of the soil erosion process, such as the empirical universal soil loss equation (USLE) and revised USLE (RUSLE), suggest that soil loss, i.e. the mass of soil lost by water erosion per unit surface area, increases with slope length, λ, although contrasting experimental results may be found in the literature. Experiments were carried out at the Sparacia site, Sicily, to establish the influence of plot length on soil loss. This was tested using data characterised by a high number of replicated, bare plots of different lengths (0.25, 0.4, 1, 2, 5, 11, 22, 33 and 44 m), simultaneously operating in the 1999–2008 period. Event soil losses did not vary significantly with λ or ev…

HydrologySoil loSoil ScienceSedimentRill erosionSoil qualitySoil lossUniversal Soil Loss EquationControl and Systems EngineeringTemperate climateErosionbare plotsEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSurface runoffAgronomy and Crop ScienceFood Science
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