Abstract and keywords
Abstract:
The capabilities of domestic and foreign specialized software for modeling snow avalanche motion and predicting damage examined. It shown that, despite the use of various mathematical approaches, two-dimensional motion models are popular among researchers, which is obviously due to limited computing power. It articularly noted that the use of a three-dimensional avalanche modeling space should lead to results that are more realistic; however, to maintain acceptable computation time, researchers must resort to various approximations and assumptions, which reduces the accuracy of calculations. Based on the analysis of specialized software capabilities, a proprietary problem-oriented software suite for synthesizing a 3D mathematical model of snow avalanche dynamics proposed. This suite based on a modified numerical method of smoothed particle hydrodynamics (SPH). This method is chosen due to its ability to analyze the influence of slope micro- and macrotopography on the dynamics of motion, the distribution of snow density across the thickness and width of the flow, the formation of an accompanying shock wave, and, accordingly, to calculate the force impact at various points of interaction. The software suite allows for varying the interaction parameters within the avalanche body, between the snow mass and the slope, to simulate changes in meteorological conditions and, consequently, the physical properties of the snow, enabling more accurate predictions of the destructive impact of avalanches on infrastructure elements. The adequacy of the original avalanche simulation suite confirmed by comparing the results of the computer simulation with actual avalanche statistics.

Keywords:
avalanches, models, computer programs, destructive effects
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References

1. Kadastr lavinnoj opasnosti territorii VTRK «Mamison» (Severnaya Osetiya – Alaniya) / A.H. Adzhiev [i dr.] // Izvestiya vysshih uchebnyh zavedenij. Severo-Kavkazskij region. Ser.: Estestvennye nauki. 2024. № 3 (223). S. 39–47. DOI:https://doi.org/10.18522/1026-2237-2024-3-39-47

2. Vikulina M.A. Lavinnaya opasnost' i risk v Hibinah v usloviyah razvitiya rekreacii v nachale XXI veka // Gidrosfera. Opasnye processy i yavleniya. 2022. T. 4. № 3. S. 276–287. DOIhttps://doi.org/10.34753/HS.2022.4.3.276

3. Gulevich V.P., Manzij D.D. Uchet snezhnosti pri ocenke lavinnoj aktivnosti v maloizuchennyh gornyh rajonah (na primere Pribajkal'ya) // HKHI vek. Tekhnosfernaya bezopasnost'. 2021. T. 6. № 1 (21). S. 50–63. DOIhttps://doi.org/10.21285/2500-1582-2021-1-50-63

4. Bartelt P., Salm B., Gruber U. Calculating dense-snow avalanche runout using a Voellmy-fluid model with active/passive longitudinal straining // Journal of Glaciology. 1999. № 45 (150). P. 242–254.

5. Christen M., Bartelt P., Gruber U. AVAL-1D: an avalanche dynamics program for the practice // Proceedings of the International Congress «Interpraevent 2002 in the Pacific Rim». 2002. Vol. 2. P. 715–725.

6. Bocchiola D., Rosso R. Application of a regional approach for hazard mapping at an avalanche site in northern Italy // Advances in Geosciences. 2008. Vol. 14. P. 201–209. DOI:https://doi.org/10.5194/adgeo-14-201-2008

7. Volk G., Kleemayr K. Lawinensimulationsmodell ELBA // Wildbach- und Lawinenverbau. 1999. Vol. 138. P. 23–32.

8. Aydın A. Comparing the performance of base map scales in GIS-based avalanche simulation: a case study from Palandöken, Turkey // Environmental Earth Sciences. 2010. № 61. P. 1467–1472.

9. Using tree-ring signals and numerical model to identify the snow avalanche tracks in Kastamonu, Turkey / N. Köse [et al.] // Natural Hazards. 2010. № 54. P. 435–449.

10. Sailer R., Rammer L., Sampl P. Recalculation of an artificially released avalanche with SAMOS and validation with measurements from a pulsed Doppler radar // Nat. Hazards Earth Syst. Sci. 2002. № 2. P. 211–216.

11. Sampl P., Zwinger T. Avalanche simulation with SAMOS // Annals of Glaciology. 2004. Vol. 38. P. 393–398.

12. Turchaninova A.S. Opredelenie zon zarozhdeniya i ocenka dinamicheskih harakteristik snezhnyh lavin: dis. ... kand. geograf. nauk. M.: Mosk. gos. un-t im. M.V. Lomonosova, 2013. 175 s.

13. Lentyaeva T.V. Programmnaya realizaciya trekhmernoj modeli dinamiki snezhnoj massy // Vestnik Voronezhskogo instituta FSIN Rossii. 2023. № 3. S. 104–111.

14. Kalach A.V., Solov'ev A.S., Lentyaeva T.V. Modelirovanie dvizheniya snezhnoj laviny // Tekhnologii tekhnosfernoj bezopasnosti. 2025. № 1 (107). S. 116–133. DOI:https://doi.org/10.25257/TTS.2025.1.107.116-133

15. Kalach A.V., Solov'ev A.S., Lentyaeva T.V. Model' i algoritm vzaimodejstviya snezhnoj laviny so stroeniyami // Tekhnologii tekhnosfernoj bezopasnosti. 2024. № 1 (103). S. 152–163. DOI:https://doi.org/10.25257/TTS.2024.1.103.152-163

16. Sampl P., Zwinger T. Avalanche simulation with SAMOS // Annals of Glaciology. 2004. Vol. 38. P. 393–398. DOI:https://doi.org/10.3189/172756404781814780

17. Christen M., Bartelt P., Gruber U. Numerical simulation of dense snow avalanches in three-dimensional terrain // Cold Regions Science and Technology. 2010. Vol. 63. № 1–2. P. 1–14. DOI:https://doi.org/10.1016/j.coldregions.2010.04.004

18. Kalach A.V., Solov'ev A.S., Lentyaeva T.V. Komp'yuternoe modelirovanie vozdejstvij snezhnoj laviny na ob"ekty infrastruktury v usloviyah chrezvychajnoj situacii // Problemy upravleniya riskami v tekhnosfere. 2025. № 1 (73). S. 30–40. DOI:https://doi.org/10.61260/1998-8990-2025-1-30-40

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