Date of Publication :6th April 2021

Abstract: Avalanches, tends to cause, amongst the most critical problems to the people and the infrastructure, in the mountain area of India. The processes that leads to avalanche releases are predetermined however the place and time of avalanche releases are notoriously challenging to prognosticate. Statistical approaches provides a substitute for deterministic predictions, by means of data released from meteorological departments, for predicting the likelihood of avalanche release that is natural. We took help from classification trees for predicting times or days with as well as without the avalanche in various part of Indian mountains area, which was grounded on parameters from meteorological data. A data-archive of nearly 10 years with avalanche surveillance was temporally and conceptually linked with wind’s grids, temperatures and precipitation data. Grids were utilised owing to the fact that they dispensed additional temporally reliable datasets than were offered by measurements of local weather stations through Artificial intelligence technology.

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