It is of great significance to dynamically simulate and forecast the development and evolutionary of soil erosion process. Traditionally, most of soil erosion models are essentially steady-state models. Thus, they have limitations at real-time simulation on the initiation and development of soil erosion process. Cellular Automata (CA), with a “from down to up” dynamic modeling framework, is cap...

The evaluation of soil susceptibility to runoff and water erosion in the field is often expensive or time-consuming. Several authors have reported that susceptibility is linked to aggregate stability, whose determination is far easier. However, this susceptibility has generally been deduced from rainfall simulation experiments on sieved soil samples, whose behaviour is not always representative...

Data drawn from a global compilation of studies quantitatively confirm the long-articulated contention that erosion rates from conventionally plowed agricultural fields average 1-2 orders of magnitude greater than rates of soil production, erosion under native vegetation, and long-term geological erosion. The general equivalence of the latter indicates that, considered globally, hillslope soil ...

Understanding soil erosion by water is essential for a range of research areas but the predictive skill of prognostic models has been repeatedly questioned because of scale limitations of empirical data and the high variability of soil loss across space and time scales. Improved understanding of the underlying processes and their interactions are needed to infer scaling properties of soil loss ...

The slope length and steepness (LS) factor is one of the factors in the Revised Universal Soil Loss Equation (RUSLE) needed to estimate average annual erosion rate. The LS factor is often derived from digital elevation models (DEM). DEM errors and uncertainty could affect LS factor estimation and consequently erosion rate estimation. However, DEM uncertainties are not always accounted for, and ...

In agricultural landscapes, factors affecting V under steady-state conditions of infiltration are well docuVarious interactions, particularly those existing between the rainmented (Kinnell, 2000). The effect of slope angle on fall intensity, the slope gradient, the slope length, and the tillage runoff for interrill erosion has also been fully investisupposedly can affect the runoff features for...

Soil erosion is one of the most important environmental problems, and it remains a major threat to the land use of mountainous environment. Runoff from eroding mountainous landscapes contains sediment and any nutrients, fertilizers that were present in the soil. Soil erosion may be reflected in reduced crop production potential, lower surface water quality and damaged drainage networks. Assessm...

Soil erosion is one of the most critical environmental hazards of recent times. A large area suffers from soil erosion, which in turn, reduces productivity. Methods such as the Universal Soil Loss Equation or Revised Universal Soil Loss Equation are widely used for the estimation of soil erosion from catchment areas. The paper deals with the estimation of soil erosion using Universal Soil Loss ...

these advantages will not be fully recognized unless the spatial and temporal predictability of process-based Spatially averaged soil erosion data provide little information on models are validated. Thus, spatially distributed erosion soil erosion dynamics. Dynamically varied, spatially distributed erosion data are needed to better understand erosion processes and data are of great importance i...