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 study assessed soil erosion features in hilly agricultural watersheds in central Sichuan Province, China. Relationships among area percentages of land covers, soil erosion modulus, soil loss rate, and area percentage of erosion in the watersheds were examined by multivariate regression analysis. The first two regression models were constructed with area percentages of land covers as indepen...

Soil erosion has become a serious problem in recent decades due to unhalted trends of unsustainable land use practices. Assessment of soil erosion is a prominent tool in planning and conservation of soil and water resource ecosystems. The Universal Soil Loss Equation (USLE) was applied to Nyabarongo River Catchment that drains about 8413.75 km² (33%) of the total Rwanda coverage and a small par...

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 ...

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...

Soil erosion is a serious environmental problem in Kothagiri Taluk. Many studies have been carried out to map shifting cultivation and areas susceptible to soil erosion. Mostly, estimated soil loss is taken as the basis to classify the level of soil loss susceptibility of area. The Revised Universal Soil Loss Equation (RUSLE) function is a commonly used erosion model for this purpose in Kothagi...

Soil erosion continues to be a threat to agricultural productivity worldwide, with soil losses in the United States exceeding 3 billion tons annually. Wind and water erosion have caused dramatic declines in soil productivity. Erosion protection and associated conservation of nutrients, organic matter, soil water holding capacity and biota are significant concerns. Pimentel et al. (1995) estimat...

The wind erosion stochastic simulator (WESS) is a single event wind erosion model that is the core of the wind erosion submodel of the environmental policy integrated climate (EPIC) erosion model. WESS uses inputs of soil texture, erodible particle diameter, soil roughness, soil water content, crop residue, and 10 min average wind speeds to predict the erosion at several user-selected distances...