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Update of the single-station sigma analysis for the Italian strong-motion stations

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Abstract

This paper is a reappraisal of the study on the single-station sigma for Italian strong-motion stations carried out by Luzi et al. (Bull Seismol Soc Am 104:467–483, 2014). A residual analysis considering the time interval 1972–2015 is carried out on two datasets, using 4.0 and 3.5 as magnitude thresholds, and the ground motion prediction equations by Bindi et al. (Bull Earthq Eng 9:1899–1920, 2011) as reference model for the calculations of the expected median intensity measures. The magnitude threshold of 3.5 is selected with the aim of obtain the largest number of records for each station and evaluate the influence of low magnitude events on the standard deviation of the residual components. The dataset contains about 8400 waveforms, relative to 522 events, recorded by 600 strong-motion stations, about five times the stations considered in Luzi et al. (2014). We also discuss elements that can influence the variability at individual station, as the number of records, the presence of analog waveforms and records from multiple source-to-site paths. For each station, the event-corrected single-station standard deviation for an individual site, ϕ ss,s , and the site-term, δS2S s , have been provided. The results of this study can be used as input for the site-specific probabilistic seismic hazard assessment in Italy, removing the ergodic assumption.

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References

  • Akkar S, Sandıkkaya MA, Senyurt M, Azari Sisi A, Ay BÖ, Traversa P, Douglas J, Cotton F, Luzi L, Hernandez B, Godey S (2013) Reference database for seismic ground-motion in Europe (RESORCE). Bull Earthq Eng 12(1):311–339

    Article  Google Scholar 

  • Al Atik L, Abrahamson N, Bommer JJ, Scherbaum F, Cotton F, Kuehn N (2010) The variability of ground-motion prediction models and its components. Seismol Res Lett 81(5):794–801

    Article  Google Scholar 

  • Al-Atik L (2015) NGA-East: ground-motion standard deviation models for Central and Eastern North America. PEER Report No. 2015/07, Pacific Earthquake Engineering Research Center

  • Albarello D, Peruzza L (2016) Accounting for spatial correlation in the empirical scoring of probabilistic seismic hazard estimates. Bull Earthq Eng. doi:10.1007/s10518-016-9961-0

    Google Scholar 

  • Albarello D, Peruzza L, D’Amico V (2015a) A scoring test on probabilistic seismic hazard estimates in Italy. Nat Hazards Earth Syst 15:171–187

    Article  Google Scholar 

  • Albarello D, Peruzza L, Gorini A (2015b) D6.1 validation of PSHA: methodological updates and new results. https://sites.google.com/site/ingvdpc2014progettos2/deliverables

  • Ancheta TD, Darragh RB, Stewart JP, Seyhan E, Silva WJ, Chiou BSJ, Wooddell KE, Graves RW, Kottke AR, Boore DM, Kishida T, Donahue JR (2014) NGA-West2 database. Earthq Spectra 30(3):989–1005

    Article  Google Scholar 

  • Anderson JG, Brune JN (1999) Probabilistic seismic hazard analysis without the ergodic assumption. Seismol Res Lett 70(1):19–28

    Article  Google Scholar 

  • Barani S, Spallarossa D (2016) Site effects in probabilistic ground motion hazard analysis. Bull Earthq Eng (submitted to this issue)

  • Bindi D, Pacor F, Luzi L, Puglia R, Massa M, Ameri G, Paolucci R (2011) Ground motion prediction equations derived from the Italian strong motion database. Bull Earthq Eng 9:1899–1920

    Article  Google Scholar 

  • Bragato PL, Sugan M, Augliera P, Massa M, Vuan A, Sarao A (2011) Moho reflection effects in the Po Plain (northern Italy) observed from instrumental and intensity data. Bull Seismol Soc Am 10(5):2142–2152

    Article  Google Scholar 

  • CEN (2004) Design of structures for earthquake resistance, part 1: general rules, seismic actions and rules for buildings. EN 1998-1, European Committee for Standardization (CEN), Brussels. http://www.cen.eu/cenorm/homepage.htm

  • Delavaud E, Scherbaum F, Kuehn N, Allen T (2012a) Testing the global applicability of ground-motion prediction equations for active shallow crustal regions. Bull Seismol Soc Am 102(2):707–721

    Article  Google Scholar 

  • Delavaud E, Cotton F, Akkar S, Scherbaum F, Danciu L et al (2012b) Toward a ground-motion logic tree for probabilistic seismic hazard assessment in Europe. J Seismol 16(3):451–473

    Article  Google Scholar 

  • Di Capua G, Lanzo G, Pessina V, Peppoloni S, Scasserra G (2011) The recording stations of the Italian strong motion network: geological information and site classification. Bull Earthq Eng 9:1779–1796

    Article  Google Scholar 

  • Faccioli E, Paolucci R, Vanini M (2015) Evaluation of probabilistic site-specific seismic-hazard methods and associated uncertainties, with applications in the Po Plain, northern Italy. Bull Seismol Soc Am 105(5):2787–2807

    Article  Google Scholar 

  • Felicetta C, D’Amico M, Lanzano G, Puglia R, Russo E, Luzi L (2016) Site characterization of Italian accelerometric stations. Bull Earthq Eng. doi:10.1007/s10518-016-9942-3

    Google Scholar 

  • ITACA Working Group (2016) ITalian ACcelerometric Archive, Version 2.1. doi:10.13127/ITACA/2.1

  • Lanzano G, D’Amico M, Felicetta C, Puglia R, Luzi L, Pacor F, Bindi D (2016) Ground-motion prediction equations for region-specific probabilistic seismic-hazard analysis. Bull Seismol Soc Am 106(1):73–92

    Article  Google Scholar 

  • Luzi L, Hailemikael S, Bindi D, Pacor F, Mele F, Sabetta F (2008) ITACA (Italian ACcelerometric Archive): a web portal for the dissemination of italian strong-motion data. Seismol Res Lett 79(5):716–722

    Article  Google Scholar 

  • Luzi L, Bindi D, Puglia R, Pacor F, Oth A (2014) Single-station sigma for Italian strong-motion stations. Bull Seismol Soc Am 104:467–483

    Article  Google Scholar 

  • Luzi L, Felicetta C, Puglia R, Russo E, Pacor F, D’Amico M, Lanzano G, Barnaba C, Laurenzano G, Priolo E, Moratto L, Bertoni M, Tamaro A, Gallipoli MR, Lizza C, Vignola L, Lovati S, Massa M, Ladina C, Barani S, De Ferrari R, Ferretti G, Scafidi D, Spallarossa D, Albarello D, Francescone M, Lunedei E, Paolucci E, Papasidero MP, Peruzzi G, Pieruccini P, Castellaro S, Panzeri R, Borgia U, Perricone L, Moscatelli M (2015) Site-specific characterization of selected ITACA stations. Deliverable D2.1 DPC-INGV-S2 Project. https://sites.google.com/site/ingvdpc2014progettos2/

  • Luzi L, Puglia R, Russo E, D’Amico M, Felicetta C, Pacor F, Lanzano G, Çeken U, Clinton J, Costa G, Duni L, Farzanegan E, Gueguen P, Ionescu C, Kalogeras I, Özener H, Pesaresi D, Sleeman R, Strollo A, Zare M (2016) The engineering strong-motion database: a platform to access pan-European accelerometric data. Seismol Res Lett. doi:10.1785/0220150278

    Google Scholar 

  • Molinari I, Verbeke J, Boschi L, Kissling E, Morelli A (2015) Italian and Alpine three-dimensional crustal structure imaged by ambient-noise surface-wave dispersion. Geochem Geophys Geosyst 16(12):4405–4421

    Article  Google Scholar 

  • Oth A, Bindi D, Parolai S, Di Giacomo D (2010) Earthquake scaling characteristics and the scale-(in)dependence of seismic energy-to-moment ratio: insights from KiK-net data in Japan. Geophys Res Lett 37:L19304. doi:10.1029/2010GL044572

    Article  Google Scholar 

  • Pacor F, Paolucci R, Luzi L, Sabetta F, Spinelli A, Gorini A, Nicoletti M, Marcucci S, Filippi L, Dolce M (2011) Overview of the Italian strong motion database ITACA 1.0. Bull Earthq Eng 9(6):1723–1739

    Article  Google Scholar 

  • Paolucci R, Pacor F, Puglia R, Ameri G, Cauzzi C, Massa M (2011) Record processing in ITACA, the new Italian strong motion database. In: Akkar S, Gulkan P, Van Eck T (eds) Earthquake data in engineering seismology, geotechnical, geological and earthquake engineering series, vol 14, no 8. Springer, Berlin, pp 99–113

    Google Scholar 

  • Peruzza L, Pacor F, Goretti A (2015). Final report, section 1: S2 project “Constraining observations into Seismic Hazard”. https://sites.google.com/site/ingvdpc2014progettos2/home

  • Rodriguez-Marek A, Montalva GA, Cotton F, Bonilla F (2011) Analysis of single-station standard deviation using the KiK-net data. Bull Seismol Soc Am 101:1242–1258

    Article  Google Scholar 

  • Rodriguez-Marek A, Cotton F, Abrahamson NA, Akkar S, Al Atik L, Edwards B, Montalva GA, Dawood HM (2013) A model for single-station standard deviation using data from various tectonic regions. Bull Seismol Soc Am 103(6):3149–3163

    Article  Google Scholar 

  • Stucchi M, Meletti C, Montaldo V, Crowley H, Calvi GM, Boschi E (2011) Seismic hazard assessment (2003–2009) for the Italian building code. Bull Seismol Soc Am 101(4):1885–1911

    Article  Google Scholar 

  • Villani M, Abrahamson NA (2015) Repeatable site and path effects on the ground-motion sigma based on empirical data from southern California and simulated waveforms from the CyberShake platform. Bull Seismol Soc Am 105(5):2681–2695

    Article  Google Scholar 

  • Woessner J, Laurentiu D, Giardini D, Crowley H, Cotton F, Grünthal G, Valensise G, Arvidsson R, Basili R, Demircioglu MB, Hiemer S, Meletti C, Musson RW, Rovida AN, Sesetyan K, Stucchi M (2015) The 2013 European seismic hazard model: key components and results. Bull Earthq Eng 13(12):3553–3596

    Article  Google Scholar 

Download references

Acknowledgments

This work has been carried out in the framework of DPC-INGV S2 project (Constraining Observations into Seismic Hazard, sites.google.com/site/ingvdpc2014progettos2/home). The Authors wish to thank the Guest Editors (Laura Peruzza and Francesca Pacor) and the manuscript Reviewers (Adrien Oth and an anonymous reviewer) for the helpful comments which improved the quality of our paper. This paper does not necessarily represent DPC official opinion and policies.

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Authors and Affiliations

  1. Istituto Nazionale di Geofisica e Vulcanologia, INGV, Sezione di Milano, Via Corti 12, Rome, Italy

    Giovanni Lanzano, Maria D’Amico, Chiara Felicetta, Lucia Luzi & Rodolfo Puglia

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  1. Giovanni Lanzano
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  2. Maria D’Amico
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  3. Chiara Felicetta
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  4. Lucia Luzi
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  5. Rodolfo Puglia
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Corresponding author

Correspondence to Giovanni Lanzano.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Esupp 1

Site-term δS2S s (ln units) for the strong-motion stations in DBS2_3.5 (TXT 94 kb)

Esupp 2

Event-corrected single-station standard deviation ϕ ss,s (ln units) for the strong-motion stations in DBS2_3.5 (TXT 89 kb)

Esupp 3

Figures of the spatial distribution and within-event residuals versus period of the events recorded by selected strong-motion stations (§4.3 and §5) (PDF 17056 kb)

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Lanzano, G., D’Amico, M., Felicetta, C. et al. Update of the single-station sigma analysis for the Italian strong-motion stations. Bull Earthquake Eng 15, 2411–2428 (2017). https://doi.org/10.1007/s10518-016-9972-x

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  • DOI: https://doi.org/10.1007/s10518-016-9972-x

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