Development of Algorithms for Earthquake Early Warning and Their Practical Applications
Earthquake Early Warning System has attracted research attention recently as a method to mitigate seismic hazard. It is a system to estimate earthquake properties in real-time and take an action before the strong shaking arrives at a site.
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Wu, S, M. Yamada,, K. Tamaribuchi, and J. Beck (2015).
Multi-events Earthquake Early Warning algorithm using a Bayesian approach.
Geophysical Journal International, Vol.200-2, pp.789-806, doi: 10.1093/gji/ggu437, 2015.2.
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Liu, A. and M. Yamada (2014).
Bayesian Approach for Identification of Multiple Events in an Early Warning System.
Bulletin of the Seismological Society of America, Vol.104-3, pp.1111-1121, 2014.6.
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Earthquake Damage Survey and Strong Motion Estimates
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Yamada, M., T. Hayashida, J. Mori and W. Mooney (2016).
Building damage survey and microtremor measurements for the source region of the 2015 Gorkha, Nepal, earthquake.
Earth, Planets and Space, Vol. 68, doi: 10.1186/s40623-016-0483-4, 2016.7.
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Yamada, M., M. Yamada, Y. Fukuda, C. Smyth, Y. Fujino, and K. Hada (2012).
Estimation of Strong Motion during the 2011 Northern Nagano Earthquake and an Associated Building Damage Survey.
15th World Conference on Earthquake Engineering, No.117.
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Landslide Seismology
Recently, seismometers are used to monitor various natural disastors. In this study, we use sesmic signal to study landslides. We try to achieve landslide forecast, real-time monitoring, and understanding of mechanisms.

      [References]
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Yamada, M., A. Mangeney, Y. Matsushi and L. Moretti (2016).
Estimation of dynamic friction of the Akatani landslide from seismic
waveform inversion and numerical simulation.
Geophysical Journal International, Vol. 206, pp.1479-1486, doi: 10.1093/gji/ggw216, 2016.6.
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Yamada, M., H. Kumagai, Y. Matsushi, and T. Matsuzawa (2013).
Dynamic Landslide Processes Revealed by Broadband Seismic Records,
Geophysical Research Letters, doi:10.1002/grl.50437, 2013.6.
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