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

Authors :
Bahl Ankur
Karuna Gotlur
Lingam B.
Chandna Manisha
Thakur Gaurav
Madan Praney
Kumar Sunil
Shnain Ammar H.
Source :
E3S Web of Conferences, Vol 581, p 01038 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

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.

Details

Language :
English, French
ISSN :
22671242
Volume :
581
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.bef09df42a254b47bafdd7e30d197714
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202458101038