New Technology Uses Infrasound to Detect Avalanches and Improve Safety Along Thane Road

Juneau, Alaska – In a groundbreaking effort to enhance avalanche detection in high mountain regions, a new infrasound system has been deployed along Thane Road in Juneau, Alaska. Developed by Snowbound Solutions in collaboration with researchers from Boise State University, this state-of-the-art technology aims to track high mountain avalanches that often go unnoticed, leading to improved avalanche mitigation strategies by the Alaska Department of Transportation.

The infrasound detection system works by picking up low-frequency sound waves emitted by avalanches as they rumble down the slopes, sounds that are typically undetectable by the human ear. By measuring subtle changes in atmospheric pressure generated by these sound waves, the system can differentiate between natural phenomena like avalanches and other noises such as aircraft or vehicles passing by.

Scott Havens, co-founder of Snowbound Solutions, highlighted the importance of utilizing infrasound technology for avalanche monitoring, drawing parallels to its successful applications in tracking volcanic eruptions and nuclear weapons tests worldwide. The deployment of these detection boxes in Alaska marks a significant milestone in enhancing avalanche monitoring and warning systems in the region.

Pat Dryer, avalanche program specialist for the Alaska Department of Transportation on Thane Road, emphasized the critical role of infrasound in detecting avalanches that are often obscured from view due to weather conditions or nighttime occurrences. By developing a comprehensive record of avalanche activity and weather conditions, the department aims to enhance their forecasting capabilities and refine their methods for managing avalanche hazards along Thane Road.

Looking ahead, Havens envisions further advancements in infrasound technology that could potentially allow for the identification and classification of avalanches based on their distinct soundwaves. By incorporating machine learning algorithms, the system may be able to differentiate between different types of avalanches and expand its applications to monitor other natural hazards like rockfalls and landslides in the future.

The deployment of this innovative infrasound technology in Juneau represents a significant step forward in enhancing avalanche detection and monitoring capabilities in high-risk mountainous regions, ultimately leading to more effective hazard management and improved safety measures for residents and travelers alike.