Author(s): Savanna Greer
Mentor(s): Zhenyu Jin
Institution UTech
Avalanches pose a significant risk to both human life and infrastructure in mountainous regions worldwide. With the increasing popularity of winter recreation and the expansion of development in alpine areas, the potential for loss of life and economic impact from avalanches has risen. This project aims to identify effective locations for avalanche mitigation measures by analyzing terrain, historical avalanche paths, snowpack stability, and human activity patterns. The research question guiding this project is: How can GIS-based analysis inform the optimal placement and type of avalanche mitigation strategies in high-risk areas? This analysis will use data from various governmental and environmental organizations. Topographic data, including elevation, slope, and aspect, will be obtained from the U.S. Geological Survey (USGS) and the National Elevation Dataset (NED). Avalanche occurrence records and risk assessments will be sourced from local and national avalanche forecasting centers, while snowpack and weather data will come from NOAA and local weather stations. Additionally, I’ll use human activity data from recreational and tourism organizations to identify zones with high visitor traffic. Combined, these data will create a comprehensive framework for understanding where avalanches are most likely to occur and where mitigation efforts could have the greatest impact. GIS Tools and Functions in ArcGIS Pro To conduct this analysis, I will use a mix of basic and advanced GIS functions and tools in ArcGIS Pro. Expected Outcomes This GIS analysis will produce a series of maps and models highlighting areas of high avalanche risk, the effectiveness of various mitigation strategies, and optimal sites for deploying preventative measures. This information can guide decision-makers in prioritizing mitigation projects, ultimately enhancing safety for both residents and visitors in avalanche-prone areas. This project will provide a comprehensive, data-driven approach to reducing avalanche risks in mountainous regions by integrating spatial data on terrain, weather, and human activity.