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TESTING THE USE OF LOCAL SLOPE AS A PROXY OF GMPE'S SITE CONDITIONS

Abstract : In the past few years it has been proposed to use the topographic slope from digital elevation models (DEMs) to give first-order estimates of NEHRP site classes based on the average shear-wave velocity in the top 30 m, V S30. The direct testing of the correspondence between local slope and V S30 has already been evaluated with variable success on different data sets (e.g. Lemoine et al., 2012). Here, we take advantage of a recent high quality accelerometric database developed in Europe (References database for Seismic grOund-motion pRediction in Europe (RESORCE) to evaluate and analyse the relative decrease of the ground-motion aleatory variability brought by the consideration of V S30 and/or local slope as a proxy to site conditions. A subset of the RESORCE database consisting of shallow crustal events recorded on sites with actually measured V S30 values and available slopes (i.e., close to 1000 recordings for RESORCE) is considered. The Artificial Neural Network (ANN) approach and a random-effects like procedure have been used for the derivation of GMPEs setting the relationship between various ground motion parameters (PGA, PGV and 5% damped pseudo-spectral acceleration PSA from 0.01 s to 4 s), and event / station meta-parameters (moment magnitude M w , Joyner-Boore distance R JB , and site proxies V S30 and/or slope). This preliminary analysis shows the lower and rather poor performance of the local topographic slope in reducing the GMPE aleatory variability, compared to the performance of measured V S30. The analysis is performed both using discrete site classes (mainly A/B, C and D, NEHRP notation) and continuous proxy values [log 10 (V S30) and log 10 (slope)].
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Submitted on : Sunday, March 25, 2018 - 11:13:54 PM
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Boumédiène Derras, Pierre-Yves Bard, Fabrice Cotton, Anne Lemoine. TESTING THE USE OF LOCAL SLOPE AS A PROXY OF GMPE'S SITE CONDITIONS. Second European Conference on Earthquake Engineering and Seismology (2ECEES), EAEE, Aug 2014, Istanbul, Turkey. ⟨insu-01742681⟩

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