References

The follwing publications are considered in SIGMA and cited within this documentation.

[1]

GDS. gempa module. URL: https://docs.gempa.de/gds/current/index.html.

[2]

GUI features and parameters. SeisComP extensions documentation. URL: https://docs.gempa.de/seiscomp/current/apps/global_gui.html.

[3]

Hann window. Wikipedia. URL: https://en.wikipedia.org/wiki/Hann_function.

[4]

OpenQuake hazard library. hazardlib documentation. URL: https://docs.openquake.org/oq-engine/latest/manual/.

[5]

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[6]

OpenQuake. Global Earthquake Model Foundation. URL: https://www.globalquakemodel.org/.

[8]

gsm - gempa software management tool. gempa solution. URL: https://data.gempa.de/packages/Public/gsm/.

[9]

mapmultigrid. gempa map plugin. URL: https://docs.gempa.de/plugins/current/base/global_multigrid.html.

[10]

scamp. SeisComP module. URL: https://docs.gempa.de/seiscomp/current/apps/scamp.html.

[11]

scconfig. SeisComP module. URL: https://docs.gempa.de/seiscomp/current/apps/scconfig.html.

[12]

scolv. SeisComP module. URL: https://docs.gempa.de/seiscomp/current/apps/scolv.html.

[13]

scqc. SeisComP module. URL: https://docs.gempa.de/seiscomp/current/apps/scqc.html.

[14]

seedlink. Real-time waveform server. URL: https://docs.gempa.de/seiscomp/current/apps/seedlink.html.

[15]

SEED Reference Manual. USGS, 2012. URL: http://www.fdsn.org/pdf/SEEDManual_V2.4.pdf.

[16]

O .Kale, S. Akkar, A. Ansari, and H. Hamzehloo. A ground-motion predictive model for iran and turkey for horizontal pga, pgv, and 5% damped response spectrum: investigation of possible regional effects. Bull. Seismol. Soc. Am., 105(2A):963–980, 2015.

[17]

S. Akkar and J.J. Bommer. Empirical equations for the prediction of pga, pgv, and spectral accelerations in europe, the mediterranean region, and the middle east. Seismol. Res. Lett., 122:195–2068, 2010. doi:10.1785/gssrl.81.2.195.

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S. Akkar, M.A. Sandikkaya, and J.J. Bommer. Empirical ground-motion models for point- and extended- source crustal earthquake scenarios in europe and the middle east. Bull. Earthquake Eng., 12:359 – 387, 2014.

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T.I. Allen. Stochastic ground-motion prediction equations for southeastern australian earthquakes using updated source and attenuation parameters. Geoscience Australia Record, 69:55, 2012. URL: https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/74133.

[20]

T.I. Allen. A far-field ground-motion model for the north australian craton from plate-margin earthquakes. Bull. Seismol. Soc. Am., 112(2):1041–1059, 2022.

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G.M. Atkinson. Ground-motion prediction equations for hawaii from a referenced empirical approach. Bull. Seismol. Soc. Am., 100(2):751–761, 2010.

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G.M. Atkinson. Ground-motion prediction equation for small-to-moderate events at short hypocentral distances, with application to induced-seismicity hazards. Bull. Seismol. Soc. Am., 105(2A):981–992, 2015.

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G.M. Atkinson and D.M. Boore. Earthquake ground-motion prediction equations for eastern north america. Bull. Seismol. Soc. Am., 96(6):2181–2205, 2006.

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G.M. Atkinson and D.M. Boore. Modifications to existing ground-motion prediction equations in light of new data. Bull. Seismol. Soc. Am., 101(3):1121–1135, 2011.

[25]

D. Bindi, F. Cotton, S.R. Kotha, C. Bosse, D. Stromeyer, and G. Grünthal. Application-driven ground motion prediction equation for seismic hazard assessments in non-cratonic moderate-seismicity areas. J. Seismolog., 21:1201–1218, 2017.

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D. Bindi, M. Massa, L. Luzi, G. Ameri, F. Pacor, R. Puglia, and P. Augliera. Pan-european ground-motion prediction equations for the average horizontal component of pga, pgv, and 5 . Bull. Earthquake Eng., 2014. doi:10.1007/s10518-013-9525-5.

[27]

D.M. Boore and G.M. Atkinson. Ground-motion prediction equations for the average horizontal component of pga, pgv, and 5%-damped psa at spectral periods between 0.01 s and 10.0 s. Earthquake spectra, 24(1):99–138, 2008.

[28]

D.M. Boore, J.P. Stewart, A.A. Skarlatoudis E. Seyhan, B. Margaris, N. Theodoulidis, E. Scordilis, I. Kalogeras, N. Klimis, and N.S. Melis. A ground-motion prediction model for shallow crustal earthquakes in greece. Bull. Seismol. Soc. Am., 111(2):857–874, 2021.

[29]

D.M. Boore, J.P. Stewart, E. Seyhan, and G.M. Atkinson. Nga-west2 equations for predicting pga, pgv, and 5% damped psa for shallow crustal earthquakes. Earthquake Spectra, 30(3):1057–1085, 2014.

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P. Bormann and J. Saul. A Fast, Non-saturating Magnitude Estimator for Great Earthquakes. Seismol. Res. Lett., 80(5):808 – 816, 2009. doi:10.1785/gssrl.80.5.808.

[31]

P. Bormann and K. Wylegalla. Quick estimator of the size of great earthquakes. EOS, 86(46):464, 2005.

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A. Caruso, S. Colombelli, L. Elia, M. Picozzi, and A. Zollo. An on-site alert level early warning system for Italy. J. Geophys. Res. Solid Earth, 122:2106–2118, 2017. doi:10.1002/2016JB013403.

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C. Cauzzi, E. Faccioli, M. Vanini, and A. Bianchini. Updated predictive equations for broadband (0.01–10 s) horizontal response spectra and peak ground motions, based on a global dataset of digital acceleration records. Bull. Earthquake Eng., 13:1587–1612, 2015. doi:10.1007/s10518-014-9685-y.

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V. Convertito, N. Maercklin, N. Sharma, and A. Zollo. From induced seismicity to direct time-dependent seismic hazard. Bull. Seismol. Soc. Am., 102(6):2563–2573, 2012.

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B. Derras, P.Y. Bard, and F. Cotton. Towards fully data driven ground-motion prediction models for europe. Bull. Earthquake Eng., 12(1):495–516, 2014.

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B. Dost, T. van Eck, and H. Haak. Scaling of peak ground acceleration and peak ground velocity recorded in the Netherlands. Bull. Earthquake Eng., 45:153 – 168, 2004.

[37]

B. Edwards. Update of the uk stochastic ground motion model using a decade of broadband data. https://www. seced. org. uk/index. php/proceedings, 2019.

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S.T.G. Raghu Kanth and R.N. Iyengar. Estimation of seismic spectral acceleration in peninsular india. J. Earth Syst. Sci., 116:199–214, 2007.

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A. Katsumata. Comparison of Magnitudes Estimated by the Japan Meteorological Agency with Moment Magnitudes for Intermediate and Deep Earthquakes. Bull. Seism. Soc., 86(3):832 – 842, 1996.

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M. Kowsari, T. Sonnemann, B. Halldorsson, B. Hrafnkelsson, J. Snæbjornsson, and S. Jonsson. Bayesian inference of empirical ground motion models to pseudo-spectral accelerations of south iceland seismic zone earthquakes based on informative priors. Solid Dynamics and Earthquake Engineering, 13:, 2020. URL:, doi:10.1016/j.soildyn.2020.106075.

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G. Lanzano and L. Luzi. A ground motion model for volcanic areas in italy. Bull. Earthquake Eng., 18(1):57–76, 2020.

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S. K. Nath, K.K.S. Thingbaijam, S.K. Maiti, and A. Nayak. Ground-motion predictions in shillong region, northeast india. J. Seismolog., 16:475–488, 2012.

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A. Rietbrock, F. Strasser, and B. Edwards. A stochastic earthquake ground-motion prediction model for the united kingdom. Bull. Seismol. Soc. Am., 103(1):57–77, 2013.

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M.L. Sharma, J. Douglas, H. Bungum, and J. Kotadia. Ground-motion prediction equations based on data from the himalayan and zagros regions. J. Earthquake Eng., 13(8):1191–1210, 2009.

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G. Tusa and H. Langer. Prediction of ground motion parameters for the volcanic area of mount etna. J. Seismolog., 20:1–42, 2016.

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R.A. Uhrhammer and E.R. Collins. Synthesis of Wood-Anderson seismograms from broadband digital records. Bull. Seismol. Soc. Am., 80(3):702–716, 1990. doi:10.1785/BSSA0800030702.

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D.J. Wald, V. Quitoriano, T.H. Heaton, and H. Kanamori. Relationships between Peak Ground Acceleration, Peak Ground Velocity, and Modified Mercalli Intensity in California. Earthquake Spectra, 15(3):557–564, 1999. doi:10.1193/1.1586058.

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P.M. Whitmore, S. Tsuboi, B. Hirshorn, and T.J. Sokolowski. Magnitude dependent correction for Mwp. Science of Tsunami Hazards, 20(4):, 2002.

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G. Zalachoris and E.M. Rathje. Ground motion model for small-to-moderate earthquakes in texas, oklahoma, and kansas. Earthquake Spectra, 35(1):1–20, 2019.

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J.X. Zhao, J. Zhang, A. Asano, Y. Ohno, T. Oouchi, T. Takahashi, H. Ogawa, K. Irikura, H.K. Thio, P.G. Somerville, and others. Attenuation relations of strong ground motion in japan using site classification based on predominant period. Bull. Seismol. Soc. Am., 96(3):898–913, 2006.