Assessing the Risk of Climate-induced Natural Disasters using Risk Assessment Models

¹ Lovely Professional University, Phagwara, Punjab, India
² Department of AI&ML, Gokaraju Rangaraju Institute of Engineering and Technology, Bachupally, Hyderabad, Telangana, India.
³ Department of Electronics & Communication Engineering, KG Reddy College of Engineering and Technology, Chilkur(Vil), Moinabad(M), Ranga Reddy(Dist), Hyderabad, 500075, Telangana, India.
⁴ Centre of Research Impact and Outcome, Chitkara University, Rajpura - 140417, Punjab, India
⁵ Uttaranchal University, Dehradun - 248007, India
⁶ Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh - 174103 India
⁷ Institute of Business Management, GLA University, Mathura - 281406 (U.P.), India
⁸ Department of computers Techniques engineering, College of technical engineering, The Islamic University, Najaf, Iraq

^* Corresponding author: ankur.bahl@lpu.co.in

Abstract

The escalation of climate-induced natural disasters—such as hurricanes, floods, droughts, and wildfires—constitutes an increasing hazard to populations and infrastructure globally. This research examines the incorporation of risk assessment models in forecasting, assessing, and alleviating the effects of severe calamities. We evaluate the susceptibility of different locations to climate-related risks by conducting a thorough analysis of historical climate data and use sophisticated risk modeling methodologies. Catastrophe modeling (CAT), geographic information systems (GIS), and statistical hazard analysis are used to delineate high-risk areas and assess possible losses. The results highlight the significance of early warning systems and sustainable adaption measures, particularly for areas increasingly impacted by severe climatic events. The research underscores the constraints of existing models and stresses the need for cohesive, data-informed strategies to enhance the prediction and management of catastrophe risks.