GNGTS 2023 - Atti del 41° Convegno Nazionale

Session 1.2 GNGTS 2023 2015). The inversion reveals a hyperbolic trade-off between radius and overpressure versus shear modulus. The data are not able to constrain these parameters univocally. Consequently, being this area in the range of 600-1400 m for the radius, the radius is fixed at 1 km. These tests are available at https://github.com/EliTras/VSM_test/tree/main/USECASE/sill2NA and https://github.com/EliTras/VSM_test/tree/main/USECASE/sill2BI ). Fig. 4 shows comparisons between observed and synthetic data. NA and BI tests similarly fit the data. The ascending dataset shows a better fit in average than the descending one, since positive and negative residuals are present, while the descending orbit data is mainly overestimated with predominance of blue in the residuals. The GPS measurements are reproduced with similar performances. Fig. 4. Summary of the VSM results for NA (group A) and BI (group B). 1D and 2D parameter marginal distributions, and comparisons with data. The sill-like source is reported with an in-scale grey circle in the maps. Conclusions VSM is an open-source Python tool to model ground deformations detected by many satellite and ground geodetic techniques, implementing the most common analytical source models used for this purpose. VSM provides geophysical scientists a user-friendly and practical toolkit to perform geophysical inversion modelling using Python scripts, the Jupyter Notebooks environment, or its GUI. VSM is available on GitHub (https://github.com/EliTras/VSM) . To conclude, any emergency, being related to geohazards such as volcanic eruptions and earthquakes, prove that the need for open science is a matter of fact. Service resources such as open tools for scientific purposes and for operative frameworks with near real-time implementation are part of this ecosystem. VSM is inspired and compliant to these principles.