A process-based method for predicting lateral erosion rates

Abstract An accurate means of predicting erosion rates is essential to improve the predictive capability breach models. During growth, are often determined with empirical equations. The equations governed by range for which they have been validated and accuracy coefficients can be established. Most thereby do not account impact material texture, moisture content, compaction energy on rates. method presented in this paper acknowledges these parameters accounting process dilation during erosion. shows how, given high surface shear stresses, rate quantified applying principles soil mechanics. Key identify that stress balance situation dilatency induced inflow gives a maximum averaged resistance. effectiveness model indicated three validation test cases. A sensitivity analysis also provided show predictions lie within inaccuracy input parameters.