Rainstorm Prediction System

Abstract

Rainstorm is a devastating disaster that usually occurs during rainy seasons at Himalayan regions. The recent floods in the ?Kedarnath' area, Uttarakhand are a classic example of flash floods in the Mandakini River due to cloudburst that devastated the country by killing thousands of people besides livestock. The traditional methods used for cloudburst prediction are weather forecasting, data mining techniques for weather prediction by modelling meteorological data, laser beam atmospheric extinction measurements from manned and unmanned aerospace vehicles. These techniques are more expensive and time consuming along with uncertainty of accurate prediction. The proposed method in this paper is Arduino based cloudburst predetermination system with real time calculation of rainfall intensity. The rainfall prediction is done with the use of machine learning in minimal costs. The complete weather forecasting setup is flexible enough to be installed anywhere and make weather predictions without much historical experience. We used different machine learning algorithm to check the accuracy of rainfall prediction.