S23C-2737
Velocity Structure of the Iran Region Using Seismic and Gravity Observations

Tuesday, 15 December 2015
Poster Hall (Moscone South)
Ellen M Syracuse1, Monica Maceira1, W. Scott Phillips1, Michael L Begnaud1, Stuart E.J. Nippress2, Eric Bergman3 and Haijiang Zhang4, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)AWE Blacknest, Reading, United Kingdom, (3)University of Colorado, Boulder, CO, United States, (4)University of Science and Technology of China, Laboratory of Seismology and Physics of Earth’s Interior, Hefei, China
Abstract:
We present a 3D Vp and Vs model of Iran generated using a joint inversion of body wave travel times, Rayleigh wave dispersion curves, and high-wavenumber filtered Bouguer gravity observations. Our work has two main goals: 1) To better understand the tectonics of a prominent example of continental collision, and 2) To assess the improvements in earthquake location possible as a result of joint inversion.

The body wave dataset is mainly derived from previous work on location calibration and includes the first-arrival P and S phases of 2500 earthquakes whose initial locations qualify as GT25 or better. The surface wave dataset consists of Rayleigh wave group velocity measurements for regional earthquakes, which are inverted for a suite of period-dependent Rayleigh wave velocity maps prior to inclusion in the joint inversion for body wave velocities. We use gravity anomalies derived from the global gravity model EGM2008. To avoid mapping broad, possibly dynamic features in the gravity field intovariations in density and body wave velocity, we apply a high-pass wavenumber filter to the gravity measurements. We use a simple, approximate relationship between density and velocity so that the three datasets may be combined in a single inversion.

The final optimized 3D Vp and Vs model allows us to explore how multi-parameter tomography addresses crustal heterogeneities in areas of limited coverage and improves travel time predictions. We compare earthquake locations from our models to independent locations obtained from InSAR analysis to assess the improvement in locations derived in a joint-inversion model in comparison to those derived in a more traditional body-wave-only velocity model.