Automated Dispersion Mapping of Surface Waves

With the increasing amount of innovative geophysical sensors and sensor networks there is a need for faster and more controlled data processing and interpretation in order to cope with the abundance of data coming from monitoring systems. In this article, we are presenting a possible method to deal with automated processing of multi-station Rayleigh wave data. We use the strong points of the visualization process of the MASW method (Park et al. 1999) and combine them with an automated dispersion curve mapping procedure. By doing this, we are presenting a possible alternative for fast and repeatable real-time processing of surface wave data. By presenting a case study on a dike the operational speed of the method and the potential for use in monitoring studies is demonstrated. There is a short evaluation of alternative inversion methods that are able to perform the calculation to a subsurface layer model.