Empowering Communities Through Resilient River Management

Abstract

This paper focuses on empowering the society with various rescue strategies in the event of a natural disaster namely floods. This paper deals with applying the state of the art technologies such as machine learning in order to combat floods. The key aspects of a flood management system and the existing systems were then identified. The proposed system was then developed. Statistical, hydrological and Machine learning algorithms such as Random forest, support vector machines, Naïve Bayes, decision tree algorithms were further applied on the data parameters captured. to predict the overflow probability in different regions of the state. A comparison was then undertaken to determine the most suited algorithm to perform better river management. The paper then concluded highlighting the need for applying machine learning techniques for flood management.