@article{Takayuki Hayashi_Harumi Yashiro_2020, title={APPLICATION OF DEAGGREGATION OF SPATIAL PROBABILISTIC SEISMIC HAZARD FOR DISASTER PREPAREDNESS}, volume={18}, url={https://geomatejournal.com/geomate/article/view/419}, abstractNote={<p><br>For regional disaster prevention, it is important to understand the area of occurrence of strong <br>ground motion and its occurrence probability. The spatial probabilistic seismic hazard analysis (SPSHA) <br>proposed by the authors can provide this information. In SPSHA, the results are expressed as a relation between <br>the area where a given seismic intensity is generated and the exceedance probability. Results obtained from <br>such a probabilistic approach include the effects of various seismic sources. Therefore, to efficiently describe <br>an earthquake scenario for regional earthquake countermeasures, it is necessary to understand the impact of <br>each earthquake source. In this study, we propose a seismic hazard deaggregation for SPSHA, and present a <br>method for quantitatively understanding the earthquakes that affect the target region. As a practical application, <br>SPSHA is conducted for Kanagawa prefecture in Japan. We conducted seismic hazard deaggregation for whole <br>and sub-area, and discussed the differences in dominant earthquakes among areas and the use of such <br>information in disaster prevention.</p>}, number={65}, journal={GEOMATE Journal}, author={Takayuki Hayashi and Harumi Yashiro}, year={2020}, month={Jan.}, pages={164–170} }