Invbore
The program Invbore enables the calculation of synthetic seismograms in a 1D profile for sensors located in a vertical array configuration. Furthermore, it permits the inversion of deconvolved wavefield functions to estimate both the S-wave velocity profile and the Qs profile.
Should you choose to utilize the code, kindly cite the following as references:
- S. Parolai, R. Wang, D. Bindi, Inversion of borehole weak motion records observed in Istanbul (Turkey), Geophysical Journal International, Volume 188, Issue 2, February 2012, Pages 535–548, https://doi.org/10.1111/j.1365-246X.2011.05252.x
- S. Parolai, R. Wang, D. Bindi, Inversion of borehole weak motion records observed in Istanbul (Turkey), Geophysical Journal International, Volume 188, Issue 2, February 2012, Pages 535–548, https://doi.org/10.1111/j.1365-246X.2011.05252.x
- Parolai, S.: Origin and Usability. Bulletin of the Seismological Society of America 2018; 108 (6): 3446–3456. doi: https://doi.org/10.1785/0120180135
JointIinv 6.2.1
JointInv 6.2.1 program allows you to perform direct calculations and invert a dispersion curve and an H/V curve. It enables the separate inversion of Love waves and the joint inversion of Rayleigh, Love, and H/V curves. It also allows for the inversion of Rayleigh waves for individual modes (see the input file disp_app.dat_mod_6.0).
Note that the program was parallelized as part of the Advanced Seismic Interferometry Methods and Technologies for Engineering Seismology (MODERN) project. Decree dated February 18, 2024, of the Italian Ministry of Universities and Research (MUR), funded by the “Italian Fund for Applied Sciences” (FISA).
You can directly use a GUI to manage inputs and outputs and define the number of threads to use. However, it is also possible to run the parallelized version of the code without the GUI (joint_inv6_omp), and if necessary, you can also run the non-parallelized version (joint_inv6_serial).
JointIinv 6.2
JointInv 6.2 modernizes the legacy JointInv 6.1/6.0 workflow while retaining the Fortran numerical core and legacy-compatible scientific outputs.
Main additions include OpenMP population-level parallelism, a Python/Tk graphical interface, explicit inversion-branch handling, generation-0 elitism initialization, safer random-number arithmetic, ensemble outputs and visualization, branch-aware plotting, live generation progress, selectable results/run directory, best-model spectra in inversion plots, and always-visible independent linear/log X/Y controls for all frequency-domain plots.
The distribution includes serial and OpenMP builds, examples, automated regression tests, installation instructions, a GUI user guide, technical notes, and the supplied legacy source as a reference implementation.
The final package regression suite passes for forward modeling and for Rayleigh, Love, H/V, Rayleigh+H/V, Rayleigh+Love+H/V, and Rayleigh multimode inversions, including serial/OpenMP consistency checks.
JointInv 6.0
The Joint_inv6.0 program permits forward calculations and inversion of a dispersion curve and an H/V curve. It allows separate inversion of Love waves and joint inversion of Rayleigh, Love, and H/V. It also permits inversion for separate modes of Rayleigh waves (see input file disp_app.dat_mod_6.0). The user must have the file hkglob.h in the directory and the file set_up.dat.
Should you choose to utilize the code, kindly cite the following as references:
- Parolai, S., Picozzi, M., Richwalski, S.M., & Milkereit, C. (2005). Joint inversion of phase velocity dispersion and H/V ratio curves from seismic noise recordings using a genetic algorithm, considering higher modes. Geophysical Research Letters, 32.https://doi.org/10.1029/2004GL021115
- Boxberger, T., Picozzi, M., & Parolai, S. (2011). Shallow geology characterization using Rayleigh and Love wave dispersion curves derived from seismic noise array measurements. Journal of Applied Geophysics, 75, 345-354.https://doi.org/10.1016/j.jappgeo.2011.06.032
- Giustiniani M, Tinivella U, Parolai S,Donda F, Brancolini G and Volpi V. (2020) Integrated Geophysical Analyses of Shallow-Water Seismic Imaging With Scholte Wave Inversion: The Northern Adriatic Sea Case Study. Front. Earth Sci. 8:587898. doi: 10.3389/feart.2020.587898