Sentence examples for modelling of erosion from inspiring English sources

A concept for the continuous modelling of erosion, solute and sediment transport at the catchment scale is presented.

We present a chronological model of erosion surface development in the Iberian and Cantabrian Ranges of north-central Spain.

The empirical nature of the SOM structures simplifies the modeling of erosion processes since it only needs an investigation of the analyzed period.

There is a need for theoretically driven models of erosion and deposition that includes transport induced mineralization to better understand the controls on SVATs of C.

In the present paper a new model of erosion combustion is suggested that describes an influence not only of turbulence but also of mechanical destruction (dispersing) of the material on the combustion rate of energetic materials.

Here, through the integration of multibeam bathymetry and shallow sub-bottom 2D seismic reflection profiles calibrated with vibrocore records, the first stratigraphic model of erosion and deposition on the eastern English Channel continental shelf is presented.

Some of the remaining challenges concern the extension to the very large Reynolds number values of field-scale flows and the frequent interaction with ambient phenomena in the ocean such as internal waves and tides, as well as the accurate modeling of erosion and resuspension in such high Reynolds number flows.

But a model of erosion in a field situation would require equations for both of these, and also equations to predict deposition and delivery ratio, none of which are presently available.

The following modelling of gully erosion was done through the stable gully model [Catena 37 (1999) 401].

The treatment of erosive wear is similar: presentation of models for erosion by plastic and fracture-based mechanisms, discussion of the erosion of engineering materials and testing methods.

On the basis of the quantitative model of soil erosion, we explored the relationship between soil loss and its influencing factors, and identified areas at high erosion risk.