Raising ESG Risk Awareness Through Climate Feature Analysis and Flood Forecasting in Vulnerable Areas

Abstract

In recent years, global warming, characterised as the regular rise in Earth's temperature, has drawn significant attention due to the ongoing increase in sea levels caused by the melting of ice caps and glaciers. The expansion of water coverage areas has resulted in flash floods in numerous states, leading to the loss of life, property, and food supplies. This increase in floods has emerged as an ESG risk for investors, as it can lead to financial and non-financial damage. It is therefore crucial to develop technology that can comprehend the climatic conditions that lead to floods and accurately predict regions that could be affected, enabling authorities to extend timely assistance and prepare for the disaster. This chapter aims to educate readers on ESG risks and proposes using ensemble machine learning models for flood risk assessment in a region, which would analyse various features to comprehend the climatic conditions responsible for flooding.