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LARGE-SCALE MODELLING OF AVALANCHE FLOW PRESSURE IN THE KAMCHIK PASS AREA USING THE RAMMS::LSHIM MODEL

Field of Science:Environmental Science (miscellaneous)Management, Monitoring, Policy and LawNature and Landscape ConservationGeography, Planning and Development
National field of science (HAC):03.00.10 — Ecology03.00.13 — Soil science04.00.04 — Hydrogeology and engineering geology05.09.04 — Water supply. Sewerage. Construction systems for water body protection06.03.01 — Forest plantations. Breeding, seed production and urban greening. Agroforestry and establishment of protective forests05.10.02 — Safety in emergencies. Fire, industrial, nuclear and radiation safety06.01.02 — Land reclamation and irrigated farming06.01.03 — Agro-soil science and agrophysics06.01.10 — Land management, cadastre and land monitoring06.03.02 — Forest inventory and forest mensuration. Forest science and silviculture. Forest fires and their control06.03.03 — Introduction of medicinal plants, cultivation technology and agro-pharmaecology11.00.01 — Physical geography11.00.03 — Land hydrology. Water resources. Hydrochemistry11.00.04 — Meteorology. Climatology. Agrometeorology11.00.05 — Environmental protection and rational use of natural resources16.00.04 — Veterinary pharmacology and toxicology. Veterinary sanitation, ecology, zoo hygiene and veterinary-sanitary examination05.09.07 — Hydraulics and engineering hydrology
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ARTICLE ANNOTATION

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This article resents modeling of avalanche impact in the Kamchik Pass area using the RAMMS::LSHIM (Large-Scale Hazard Indication Modelling) tool for avalanche scenarios with a 30-year return period. The approach is based on numerical simulations employing the high-resolution AW3D Global DEM and morphometric criteria for identifying potential avalanche release zones. The results made it possible to produce a large-scale map of calculated impact pressure distribution and to identify the most hazardous sections along the Kamchik highway. Modeling confirmed the efficiency of the RAMMS::LSHIM approach for analyzing spatial patterns of avalanche impact and detecting potentially hazardous areas. The maps could also be calculated for more extreme avalanche cycles with return periods of 100 and 300 years. The results can be used for estimating avalanche loads on engineering structures and for substantiating protective measures.

AUTHORS

Science ID: FBX-0925-0006

Tags

# pressure# digital# mapping# model# flow# snow# avalanches# numerical# modelling# avalanche# impact# parameters# ramms# lshim# elevation# aw3d# dem# calculated# hazard# kamchik# pass# large-scale

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