Rayleigh Surface Wave Forward Modeling Implementation

In shallow seismic exploration research, forward modeling of Rayleigh surface waves serves as a fundamental methodology. By utilizing MATLAB programming language, researchers can implement comprehensive forward modeling simulations of Rayleigh surface waves, enabling deeper understanding of subsurface structures. The implementation typically involves solving wave equations using finite-difference or spectral-element methods, with key functions handling velocity model parameterization and boundary condition applications. Beyond structural analysis, forward modeling proves essential for predicting seismic wave propagation patterns through subsurface formations, significantly contributing to earthquake prediction and prevention initiatives. The MATLAB code generally incorporates algorithms for calculating dispersion curves and simulating wave propagation through layered media using stiffness matrix methods or reflectivity approaches. For seismology researchers, mastering Rayleigh wave forward modeling techniques represents a critical competency. The implementation often includes specialized functions for synthetic seismogram generation, velocity spectrum analysis, and parameter sensitivity studies, providing valuable tools for quantitative seismic interpretation and risk assessment.