A novel taxonomy of natural disasters based on casualty and consequence using hierarchical clustering

• DOI: 10.1504/ijdmmm.2023.134591
• Publication Date: 2023-10-31T12:30:32Z
• Authors: Donald Douglas Atsa'; N.A. am; Frank Adusei Mensah; Oluwafemi Samson ...; Temidayo Oluwatos...; Oluwaseun Alexand...; Richard Osei Agjei; Samuel Nii Odoi D...
• Keywords: Hierarchical clustering

Post-disaster management requires a proportional deployment of human and material resources. The number resources required to manage disaster cannot be known without first evaluating the extent casualty consequence. This study proposed taxonomy for classifying natural disasters based on Using secondary data global from 1900 2021, hierarchical cluster analysis technique was deployed formation. learning algorithm evaluated similarities in numbers deaths, injuries, cost damaged property caused by disasters. Three clusters were extracted which sub-grouped historical Further, that defines ranges what constitute low, average, high deaths/injuries/damage established. Classifying future with this prior rescue, resettlement, compensation, other operations will guide efficient resource allocation case-by-case basis.