Avalanches Forecasting Using Machine Learning Methods
https://doi.org/10.25205/1818-7900-2021-19-2-92-101
Abstract
The occurrence of snow avalanches is mainly influenced by meteorological conditions and the configuration of snow cover layers. Machine learning methods have predictive power and are capable of predicting new events. From the trained machine learning models, an ensemble is obtained that predicts the possibility of avalanches. The model obtained in the article uses avalanche data, meteorological data and generated data on the state of snow cover for training. This allows the resulting solution to be used in more mountainous areas than solutions using a wider range of less available data.
Snow data is generated by the SNOWPACK software package.
About the Author
N. A. Radeev
Novosibirsk state university
Russian Federation
Russian Federation
Nikita A. Radeev - Bachelor of General Informatics Department, Faculty of Information Technologies, Novosibirsk state University.
Novosibirsk.
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Review
For citations:
Radeev N.A. Avalanches Forecasting Using Machine Learning Methods. Vestnik NSU. Series: Information Technologies. 2021;19(2):92-101. (In Russ.) https://doi.org/10.25205/1818-7900-2021-19-2-92-101
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