Relationship between crustal velocity structure and asperity of active faults

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To reduce earthquake disaster, it is important to understand source characteristics of active faults. Especially information about the asperities is one of the most important properties. I developed, therefore, two new methods to explore crustal structure using neural network technology and full-waveform inversion method. To evaluate the applicability, the new methods have been applied to numerical experiments and we obtained satisfactory results. Then, three-dimensional crustal structure of focal area of the 2000 western Tottori earthquake has been obtained by applying the new method using neural network technology to aftershock data observed by dense temporary seismic network. As the results, relatively high velocity (over approx. 6km/s) area on the fault plane corresponds with large slip area of the main shock.