Earthquake loss models are fundamental for the design and implementation of disaster risk management measures, including retrofitting campaigns, emergency plans or mechanisms to transfer the financial risk to the insurance industry. For this reason, it is fundamental to verify, validate and calibrate probabilistic risk models. This process is often performed using observations from past events and data collected from field missions.
This talk demonstrates how some of the datasets and models from the GEM Foundation might be useful to better prepare for field missions, and conversely, how field observations can be used to improve existing risk models. Some examples covering a recent World Bank project for Türkiye will be presented, as well as findings from a field mission to the 2023 M7.8/M7.5 Kahramanmaraş earthquakes.
EEFIT lecture: Earthquake loss modelling for disaster risk management Lecture from the Gloabl Earthquake Modelling Foundation demonstrating how natural hazard datasets and models are useful for field missions and how missions can improve existing risk models