A strong earthquake can have significant consequences for the population, buildings, and infrastructure. Therefore, an effective civil protection and disaster response system is essential for managing these consequences immediately after an earthquake. This thesis investigates the response of the local civil protection and disaster response system to an earthquake with a moment magnitude of 5.6 in the Municipality of Škofja Loka. The scenario was defined with reference to a target return period of 2,500 years. For the selected earthquake scenario, the ground motion field was simulated, taking local site effects into account. The seismic capacity of buildings was estimated using parametric pushover curves, while seismic demands were determined using the N2 method. Consequences for the population, including fatalities, injuries, and temporary accommodation needs, were modeled based on the estimated building damage states. The post-earthquake operability of emergency response units and the functionality of the road network were also considered. The results indicate that 551 buildings would reach the complete damage, corresponding to approximately 9% of the building stock. Approximately 30 fatalities and 789 injured persons were estimated, and 9,244 people would require temporary accommodation. The capacities of the local system would not be sufficient to manage all the estimated consequences, mainly due to insufficient temporary accommodation and healthcare capacities. It should be emphasized that the results do not represent a prediction of the consequences of a specific earthquake event. The analysis is based on one selected earthquake scenario and mean estimates of the individual model components, while consideration of aleatory and epistemic uncertainties is beyond the scope of this thesis. Despite these limitations, the proposed approach enables the integration of earthquake consequences, demands, and available capacities within an emergency response simulation and provides a basis for improving preparedness and identifying the need for support to the local system from the national level.
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