3D-VIZUALIZATSIYA MODELS OF SNOW MASS DYNAMICS
Methods of snow avalanche prediction are considered. It is shown that modeling of snow mass by method of smoothed particles significantly increases accuracy of prediction of avalanche moment. Spatial and temporal sampling ensure high adequacy of the model when describing the movement and interaction of the snow mass with obstacles of various shapes, weights and sizes. A software animation of an avalanche model is proposed, in which mplot3d is used as an instrument using the matplotlib library in Python, which allows building a volumetric model of a rotten mass.