This book presents the mathematical foundations of seismic wave scattering in random media for Monte Carlo simulations, which are useful for understanding random inhomogeneity spectra and the scattering characteristics of the solid Earth. This is a useful reference for graduate students and researchers in geophysics and physics.
This book presents the mathematical foundations of seismic wave scattering in random media for Monte Carlo simulations, which are useful for understanding random inhomogeneity spectra and the scattering characteristics of the solid Earth. This is a useful reference for graduate students and researchers in geophysics and physics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Haruo Sato is Professor Emeritus at Tohoku University, Japan. He is an expert in observation and theoretical physics in seismology and solid Earth geophysics. He was awarded with the 2018 Beno-Gutenberg Medal by the European Geosciences Union (EGU) for outstanding contributions to seismology and the development of new insights into stochastic properties of Earth structure through theoretical and observational studies of scattered seismic waves. He was also made a Japan Geoscience Union fellow in 2018 and was elected to be an honorary member of the Seismological Society of Japan in 2019.
Inhaltsangabe
Preface 1. Introduction 2. RTT for the isotropic scattering model 3. Scattering of scalar waves in random media 4. RTT for scalar wavelet propagation through random media 5. FD simulation of scalar wavelet propagation through random media 6. RTT for vector wavelet propagation through random elastic media 7. Hybrid MC simulation using the spectrum division 8. Epilogue References Index
Preface 1. Introduction 2. RTT for the isotropic scattering model 3. Scattering of scalar waves in random media 4. RTT for scalar wavelet propagation through random media 5. FD simulation of scalar wavelet propagation through random media 6. RTT for vector wavelet propagation through random elastic media 7. Hybrid MC simulation using the spectrum division 8. Epilogue References Index
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