Analysing the Information on the Regular Nature of a Snow Avalanche Structure Based on Near-Periods Identification

The paper presents the results of a study on the regularity of near-periods in the structure of a snow avalanche, using the example of an avalanche that occurred on January 11, 2025 in the Alps. A linearized image of the avalanche was created by transforming the target area into a polygon to conduct a near-period analysis within the body of the avalanche. This representation allowed for the creation of horizontal and vertical slices that reflected the longitudinal and transverse components of the spatial structure of this hazardous natural phenomenon. To solve the problem of structural segmentation, a near-periodic analysis is used. It determines the lengths of intervals with uniform data behavior. Analysis of various slices reveals the systematic nature of longitudinal and transverse near-periods, which contribute to the description of avalanche body structure. The paper also describes the discovered fundamental high-frequency periods, which likely have local characteristics in the region. These results speed up research and segmentation based on an a priori understanding of uniform near-periods that permeate the system at the fundamental level. This improves the understanding of avalanche structures and contributes to safer measures in avalanche-prone areas.