ESM GMMresid Web-Service
The ESM GMMresid Web-Service extracts computed ground-motion residuals for a given dataset and ground-motion model.
Data can be filtered, e.g. by a list of sites and event-ids. A complete list of supported options and usage examples is available in the query-options webpage. Requests can use both HTTP-GET and HTTP-POST methods.
Feature Notes
- The output is a zip volume that can include JSON, and png images.
- When the output is empty, HTTP code 204 is returned. The analysed dataset is selected based on the applicability of the ground-motion model, data quality and processing type (ie. only manually revised data are included).
- The residuals are computed for the horizontal ground motion components.
- The reference GMMs are ITA18 (Lanzano et al., 2019) for Italy, and KOT20 (Kotha et al.,2020) for Europe. Specifically, the KOT20 model with the regionalization for the attenuation path and source terms is selected. In both ITA18 and KOT20 GMMs, the site effect is implemented with V S,30 . ITA18 is implemented for Rjb and Rrup distances. KOT20 is implemented only for Rjb distance.
- The service works in two modalities: (1) querying a static library of GMM residuals; (2) computing new residuals after an event ('post-event' modality), which may take longer due to the higher computational cost.
- In the 'post-event' modality, the user can specify the spatial buffer within which the 'dBe' of regional events are plotted. The buffer may consist of either a circle (radius of 50-km) or a zone from the area-source seismogenic models by Brunelli (2023) or Visini (2022).
- The static library of GMM residuals is updated once a year or after major seismic sequences.
References
- Brunelli G., Lanzano G., Luzi L., Sgobba S. (2023). Data-driven zonations for modelling the regional source and propagation effects into a Ground Motion Models in Italy. Soil Dynamics and Earthquake Engineering, 166, 107775. https://doi.org/10.1016/j.soildyn.2023.107775
- Kotha S.R., Weatherill G., Bindi D., Cotton F. (2020) A regionally-adaptable ground-motion model for shallow crustal earthquakes in Europe.Bulletin of Earthquake Engineering 18:4091-4125. https://doi.org/10.1007/s10518-020-00869-1
- Lanzano G., Luzi L., Pacor F., Felicetta C., Puglia R., Sgobba S., D'Amico M. (2019) A Revised Ground-Motion Prediction Model for Shallow Crustal Earthquakes in Italy. Bulletin of the Seismological Society of America 109(2):525-540. 10.1785/0120180210
- Ramadan F., Smerzini C., Lanzano G., Pacor F. (2021). An empirical model for the vertical‐to‐horizontal spectral ratios for Italy. Earthquake Engineering & Structural Dynamics, 50(15), 4121-4141. https://doi.org/10.1002/eqe.3548
- Visini, F., Meletti, C., Rovida, A., D'Amico, V., Pace, B., & Pondrelli, S. (2022). Updated area-source seismogenic model (MA4) for seismic hazard of Italy. Natural Hazards and Earth System Sciences Discussions, 2022, 1-31.
https://doi.org/10.5194/nhess-22-2807-2022
Backend Python software used by this web service is developed and maintained by Mascandola C., Felicetta C., and Russo E.