Erosion estimates are based on sonic velocity and vitrinite reflectance (Shen et al. 2011).
We will specifically inspect how sample size affects the reliability of landslide erosion estimates in the discussion.
Models that convert 7Be inventory measurements to soil erosion estimates are all based on the observed depth distribution of 7Be, described by the relaxation mass depth (h0) parameter.
By coupling these erosion estimates with elastic displacement fault modeling, we can use the resulting topographic envelopes to constrain the rate and duration of deformation.
Table 1 Median soil particle sizes and classification used in potential erosion estimates Source: Julien (1995) Particle size classification Particle size diameter (mm) Medium sand 0.5 Medium gravel 10 Coarse gravel 20 Very coarse gravel 32 Small cobbles 64.
A comparative analysis between NDVI- and LSMA-derived C factors also proved that the latter produced a more detailed spatial variability, as well as generated more accurate erosion estimates when used as input to RUSLE model.
Previous work, however, has not considered potential spatial variation in h0 linked to natural variability in soil physical properties, which could have major implications for the reliability of soil erosion estimates.
The objective of this work is to investigate how the erosion estimates are affected by the different sub-models and parameters of a CFD-based wear prediction model, so that its actual predictive capacity may be established.
The model was applied on 21 km of cliffs in Marine Corps Base Camp Pendleton, California considering sea level rise ranging from 0.5 to 2 m over 100 yrs using 207 profiles, sand budget deficits estimated from historical data, and sand inputs from terrestrial erosion estimated from a time series of lidar data.
Combined water and tillage erosion estimates indicated a possible unsustainable increase in soil loss on some steep-slope fields within the last few decades that has resulted from shorter fallow periods, longer periods of cultivation before fallowing, and greater weed pressure.
