000015848 001__ 15848
000015848 005__ 20161115135331.0
000015848 04107 $$aeng
000015848 046__ $$k2013-06-12
000015848 100__ $$aBelsham, C.
000015848 24500 $$aAn Analysis of Methods for Deriving Magnitudes of Historic Earthquakes That Are Based on Physical Principles

000015848 24630 $$n34.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000015848 260__ $$bNational Technical University of Athens, 2013
000015848 506__ $$arestricted
000015848 520__ $$2eng$$aA large proportion of the land mass of the world is classified as Stable Continental Regions, these are generally regions where the seismic activity is low. Consequently there is little instrumentally recorded strong-motion data available from which to build robust models for seismic hazard evaluation for these regions. Recourse is therefore made to using spatial events as a surrogate for temporal events, on the assumption that the regions selected spatially have similar tectonic characteristics. Even this approach requires the addition to the database of historic events, these are events that have been recorded pre-instrumentally using macroseismic intensity records as the basis. This leads to a key objective of the analysis of historic seismic data is the determination of a relationship between an events macroseismic intensity records and its magnitude through regression analysis of a large set of known data. An important part of regression analysis for this type of data is the development of a functional form that matches the nature of the data and models the physical processes that gives rise to it. The equations which are considered and compared in this paper are those of Frankel, Johnston, Ambraseys, Murphy and O’Brien and Kövesligethy. In addition, to explain how these equations relate to the physical process, Frankel’s equation is compared with the equation from Boore’s Stochastic Method. The paper then compares, in detail, the magnitude-intensity relationships developed by Johnston and Ambraseys, the interest focusing on the different regression techniques used. This is followed by an exploration of the merits of each approach with the analysis using Johnston’s global dataset of Stable Continental Region events. The discussion between these models provides the basis for the development of a typical value for the attenuation quality factor Q for Stable Continental Regions in the frequency range 1 to 5 Hz. Together the findings in this paper provide the opportunity for developing ground motion prediction equations from a mixed macroseismic and instrumented approach. It also provides a means to further improve the knowledge of macroseismic data and notes potential uncertainties in the values of the derived magnitudes.

000015848 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000015848 653__ $$aMacroseismic Intensity; Stable Continental Regions; Historical seismicity; Stochastic Method; spectral ground acceleration; attenuation quality factor.

000015848 7112_ $$aCOMPDYN 2013 - 4th International Thematic Conference$$cIsland of Kos (GR)$$d2013-06-12 / 2013-06-14$$gCOMPDYN2013
000015848 720__ $$aBelsham, C.
000015848 8560_ $$ffischerc@itam.cas.cz
000015848 8564_ $$s473919$$uhttps://invenio.itam.cas.cz/record/15848/files/1551.pdf$$yOriginal version of the author's contribution as presented on CD, section: CD-RS 23 SEISMIC RISK AND RELIABILITY ANALYSIS
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000015848 962__ $$r15525
000015848 980__ $$aPAPER