Application of 3D Laser Image Scanning Technology and Cellular Automata Model in the Prediction of the Dynamic Process of Rill Erosion

Black soil areas are strongly affected by rill erosion due to the geomorphic characteristics of flood plains and heavy rainfall. To study problem in black achieve ecological restoration, based on method artificially simulated rainfall, effects rainfall intensity slope flow sand production surface were studied, pattern after was monitored a 3D laser scanner analyze surface. The model constructed basis cellular automata (CA) method, results model’s operation compared with actual measurement deepen research mechanism areas. By analyzing it found that area volume serious increased increases gradient. Based physical test combined CA simulate bare slopes under different intensities, comparison showed can accurately where Ens coefficient rate is between 0.70 0.97, thus theoretically verifying reliability model, this basis, predicted explore evolution development law erosion.