By D.M. Boore (auth.), Sinan Akkar, Polat Gülkan, Torild van Eck (eds.)

This e-book addresses present actions in strong-motion networks around the world, protecting matters with regards to designing, protecting and disseminating info from those arrays. The publication is split into 3 primary sections. the 1st part comprises contemporary advancements in local and worldwide ground-motion predictive models.
It offers discussions at the similarities and changes of flooring movement estimations from those versions and their software to layout spectra in addition to different novel methods for predicting engineering parameters in seismic areas with sparse info. the second one part introduces subject matters in regards to the specific methodologies being applied within the lately proven international and neighborhood strong-motion databanks in Europe to take care of and disseminate the archived accelerometric facts. the ultimate part describes significant strong-motion arrays around the globe and their historic advancements. The final 3 chapters of this part introduce initiatives performed in the context of arrays deployed for seismic chance reports in metropolitan parts.

Audience: This well timed e-book could be of specific curiosity for researchers who use accelerometric information commonly to behavior experiences in earthquake engineering and engineering seismology.

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Additional resources for Earthquake Data in Engineering Seismology: Predictive Models, Data Management and Networks

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Slejko D, Camassi R, Ceci´c I et al (1999) Seismic hazard assessment for Adria. Ann Geofis 42:1085–1107 59. Spudich P, Fletcher JB, Hellweg M et al (1997) SEA96 – a new predictive relation for earthquake ground motions in extensional tectonic regimes. Seismol Res Lett 68:190–198 60. Stafford PJ, Mendis R, Bommer JJ (2008b) Dependence of damping correction factors for response spectra on duration and number of cycles. ASCE J Struct Eng 134:1364–1373 61. Stafford PJ, Strasser FO, Bommer JJ (2008a) An evaluation of the applicability of the NGA models to ground-motion prediction in the Euro-Mediterranean region.

10] for four national subsets (from [10]) Bommer et al. [10] derive a set of GMPEs that are valid down to Mw 3 and examine inter- and intra-event residuals with respect to their model for four countries (Greece, Italy, Spain and Switzerland) in the Mw 3–5 range. They find that none of these sets of residuals shows a clear bias (Fig. 2). Consequently, apparent differences in GMPEs derived using data from these regions can be related to data coverage (particularly magnitude range), choices of functional form and regression techniques and, therefore, the strongest evidence for or against regional dependency comes from using the observations directly.

Acknowledgments I thank Landsvirkjun and the University of Iceland for funding my 1-year visiting professorship at the Earthquake Engineering Research Centre, University of Iceland. Also I thank the organizers of the Second Euro-Mediterranean meeting on Accelerometric Data Exchange and Archiving for the invitation to present at this meeting. This article has benefited from participation in discussions during the PEGASOS Refinement Project and the EC-funded Seventh Framework Programme project SHARE and with Teraphan Ornthammarth.

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