IDS (Iterative Deconvolution and Stacking) - Fast finite fault inversion

The Iterative Deconvolution and Stacking (IDS) method was introduced by [Zhang2015]. It allows to estimate the kinematic parameters on predefined fault plane(s) by iteratively estimating apparent source time functions for the subfaults. These signals are deconvolved from body wave signals and optimized in an iterative manner.

Different case studies have shown rather good solutions [Zhang2016], [Diao2016], [Zheng2020], which can be obtained within a short time, providing the opportunity for rapid impact assessment.

• IDS backend installation
  • System-wide installation
  • Local installation (e.g. into venv)
• IDS manual
  • Subcommands and options
• Command line examples
  • Initialize an IDS environment
  • Run an IDS estimate
  • Create an IDS report
• IDS tutorial
  • Prerequesites
  • Initialize a new IDS environment
  • Configure the optimization
  • Run and inspect the optimization

References

Zhang2015

Zhang, Y., Wang, R., Chen, Y., Xu, L., Du, F., Jin, M., Tu, H. and Dahm, T. (2014), Kinematic Rupture Model and Hypocenter Relocation of the 2013 Mw 6.6 Lushan Earthquake Constrained by Strong‐Motion and Teleseismic Data, Seismological Research Letters, 85 (1), 15–22, doi: https://doi.org/10.1785/0220130126.

Zhang2016

Zhang, Y., Wang, R., and Chen, Y.‐T. (2015), Stability of rapid finite‐fault inversion for the 2014 Mw6.1 South Napa earthquake, Geophys. Res. Lett., 42, 10, 263–10, 272, doi: https://doi.org/10.1002/2015GL066244.

Diao2016

Diao, F. , Wang, R. , Aochi, H. , Walter, T.R., Zhang, Y. ,Zheng, Y. and Xiong, X. (2016), Rapid kinematic finite-fault inversion for an Mw 7+ scenario earthquake in the Marmara Sea: an uncertainty study, Geophysical Journal International, 204, 2, 813–824, https://doi.org/10.1093/gji/ggv459

Zheng2020

Zheng, X., Zhang, Y., Wang, R., Zhao, L., Li, W., & Huang, Q. (2020), Automatic inversions of strong‐motion records for finite‐fault models of significant earthquakes in and around Japan. Journal of Geophysical Research: Solid Earth, 125, e2020JB019992. https://doi.org/10.1029/2020JB019992