PROJECTS PhD position available
Kinematic source inversion for large earthquakes
In a first step the sensitivities of the different methods will be analysed separately with synthetic data sets (synthetic seismograms and static displacements can be produced with the help of modern reflectivity code and can be compared separately with the data from the Mw 8.0 Antofagasta event in 1995, the Mw 7.8 Tocopilla event in 2007 and their large aftershocks. We will then combine time-dependent displacement records from the near-field (double-integrated strong-motion seismograms) and far-field (teleseismic broadband seismograms), point measurements of static displacement from GPS and the static displacement field from InSAR. Additionally constraints for the spatio-temporal distribution of energy radiation resulting from the processing of teleseismic arrays and a small scale local detection array will be incorporated. We will devise a common parameterisation allowing for variable slip, slip direction, variable rise time and variable rupture velocity on the fault with the option to constrain the several mentioned parameters from the outset so that a thorough analysis of the resolvability and stability of the different parameters is possible in dependence on the data sets at hand. Spatial and temporal displacement on the fault will be derived through a non-linear inversion scheme. We will check for the possible improvement which can be made by using small and medium sized aftershocks as empirical Greens functions which is at least possible for parts of the data sets like the teleseismic surface waves. At the end of the project we hope to have a flexible code which can be used for the medium sized and large earthquakes in the PBO environment (and can be used in other regions as well) which resolves as much kinematic rupture parameters as possible depending on the nature and quality of the specific data sets. Furthermore we hope to show detailed and robust results for all major earthquakes in the investigation area with much less non-uniqueness than in previous studies.
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