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After 55 iterations, the inversion modeling produced the density model shown in Fig. 10.
Both of these gridded gravity datasets (local and regional) were used for the 3D geophysical inversion modeling.
We explored the density model space using homogeneous rock unit and heterogeneous rock unit geophysical inversion modeling.
The geologically constrained geophysical inversion modeling effort presented here returned model density values that lie in the range 1.9 2.8 g/cm3 (Table 1).
Therefore, we employed geophysical inversion modeling to find density values for each of the 10 rock units that, collectively, minimize the misfit.
As a final step in the geophysical modeling presented here, we performed a second stage of inversion modeling to further reduce the misfit.
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E.G. developed the gravity inversion model.
Beyond slip uniformity, relying on one particular inversion model as a representative case has also been shown to underestimate the total tsunami hazard and potential consequences42.
Thirdly, the forward model and inversion model are further combined into a unity, namely generalized model.
In the inversion model, the aerosol extinction spectrum is described as a quadratic polynomial.
Different forms of the inversion models in the drilling design and actual drilling stages are given.
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