Results 161 to 170 of about 4,331 (214)
Unveiling spatiotemporal dynamics and drivers of ecosystem services to optimize the ecological zoning management in the Luo river basin. [PDF]
Zhang J +6 more
europepmc +1 more source
Evaluating the impact of soil erosion on soil quality in an agricultural land, northeastern China. [PDF]
Fang H, Zhai Y, Li C.
europepmc +1 more source
Statistical check of USLE‐M and USLE‐MM to predict bare plot soil loss in two Italian environments
AbstractThe 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 exponentb1 > 1 whereasb1 = 1 is assumed in the USLE‐M. Simple linear regression analysis can be applied to parameterize both models,
Vincenzo Bagarello +2 more
exaly +6 more sources
Abstract It has been proposed that the best physical model of erosion from a plot is provided by a replicate plot (Nearing, 1998). Event data from paired bare fallow plots in the USLE database were used to examine the abilities of replicate plots, the USLE and the USLE-M to model event erosion on bare fallow plots.
P I A Kinnell
exaly +3 more sources
Improvement to the prediction of the USLE K factor
Abstract In the Universal Soil Loss Equation (USLE), the soil erodibility factor ( K ) corresponds to the collective effects of the detachment susceptibility of soil and the sediment transportability as well as the amount and rate of runoff under a given rainfall erosivity.
Farzin Shabani +2 more
exaly +3 more sources
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Communications in Soil Science and Plant Analysis, 2003
Soil loss is estimated by different models in which the soil erodibility factor, K, is one of the important parameters, especially in soils with rock fragments. The objective of this study was to determine the soil erodibility factor by the Universal Soil Loss Equation (USLE) and USLE-M models by direct soil loss measurements for six soil series (three
A R Sepaskhah
exaly +2 more sources
Soil loss is estimated by different models in which the soil erodibility factor, K, is one of the important parameters, especially in soils with rock fragments. The objective of this study was to determine the soil erodibility factor by the Universal Soil Loss Equation (USLE) and USLE-M models by direct soil loss measurements for six soil series (three
A R Sepaskhah
exaly +2 more sources
Applying the USLE Family of Models at the Sparacia (South Italy) Experimental Site
Soil erosion is a key process to understand the land degradation, and modelling of soil erosion will help to understand the process and to foresee its impacts.
Costanza Di Stefano +2 more
exaly +2 more sources
Testing the USLE-M Family of Models at the Sparacia Experimental Site in South Italy
The modified Universal Soil Loss Equation (USLE-M) was empirically deduced by a statistical analysis of the original data set of soil loss measurements used to derive the Universal Soil Loss Equation (USLE).
Costanza Di Stefano +2 more
exaly +2 more sources

