Development of a new tool for climate related natural disaster metrics

  1. Yew, Ying Ying
Supervised by:
  1. Pedro Ignacio Arcos González Director
  2. Rafael Castro Delgado Co-director

Defence university: Universidad de Oviedo

Fecha de defensa: 18 November 2021

  1. Medicina

Type: Thesis

Teseo: 688813 DIALNET


The Disaster Metrics tool developed, titled ‘The YEW Disaster Severity Index’ was able to quantify, predict and test various natural disasters, including those climate related, simultaneously and continuously, underpinning the vulnerability and exposure of a disaster definition, impacting human population, thus saving lives and livelihood by investing in informed risk, on disaster risk reduction. The Risk Informed calculated based on the Disaster Metrics, will be beneficial to various stakeholders globally, from countries vulnerable to climate related disasters to catastrophe risk modelling in parametric insurance and reinsurance, risk transfer management. Global Corruption Perception Index in governance of a country was included to more accurately estimate the true scale of the Disaster. The Disaster Metrics was tested in 3 phases, mainly retrospectively across timeline, real-time and near-real-time for preparedness, risk reduction and response. Feasibility studies were done and found to be significant, prior to testing it in the above mentioned 3 phases. As a conclusion, the Disaster Metrics analysed on preparedness, risk reduction and response was able to calculate and project the human population impacting lives and livelihood based on magnitude or intensities recorded on a disaster.