A regionally adaptable ground-motion model for fourier amplitude spectra of shallow crustal earthquakes in Europe

被引:17
|
作者
Kotha, Sreeram Reddy [1 ,2 ]
Bindi, Dino [2 ]
Cotton, Fabrice [2 ,3 ]
机构
[1] Univ Grenoble Alpes, Univ Savoie Mt Blanc, Univ Gustave Eiffel, ISTerre,IRD,CNRS, F-38000 Grenoble, France
[2] Helmholtz Ctr Potsdam, GFZ German Res Ctr Geosci, D-14467 Potsdam, Germany
[3] Univ Potsdam, Inst Geosci, Potsdam, Germany
关键词
Ground-motion model; Fourier spectra; Robust mixed-effects regression; Regionally adaptable; Seismic hazard and risk; Europe; PREDICTION EQUATIONS; DURATION MODELS; BETWEEN-EVENT; VARIABILITY; ATTENUATION; UNCERTAINTY; PATH; TOMOGRAPHY; PARAMETERS; CATALOG;
D O I
10.1007/s10518-021-01255-1
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Typical seismic ground-motion models predict the response spectral ordinates (GMM-SA), which are the damped responses of a suite of single-degree-of-freedom oscillators. Response spectra represent the response of an idealized structure to input ground-motion, but not the physics of the actual ground-motion. To complement the regionally adaptable GMM-SA of Kotha et al. (2020), we introduce a model capable of predicting Fourier amplitudes (GMM-FA); developed from the Engineering Strong Motion (ESM) dataset for pan-Europe. This GMM-FA reveals the very high variability of high frequency ground-motions, which are completely masked in a GMM-SA. By maintaining the development strategies of GMM-FA identical to that of the GMM-SA, we are able to evaluate the physical meaning of the spatial variability of anelastic attenuation and source characteristics. We find that a fully data-driven geospatial index, Activity Index (AIx), correlates well with the spatial variability of these physical effects. AIx is a fuzzy combination of seismicity and crustal parameters, and can be used to adapt the attenuation and source non-ergodicity of the GMM-FA to regions and tectonic localities sparsely sampled in ESM. While AIx, and a few other parameters we touch upon, may help understand the spatial variability of high frequency attenuation and source effects, the high frequency site-response variability-dominating the overall aleatory variance-is yet unresolvable. With the rapid increase in quantity and quality of ground-motion datasets, our work demonstrates the need to upgrade regionalization techniques, site-characterisation, and a paradigm shift towards Fourier ground-motion models to complement the traditional response spectra prediction models.
引用
收藏
页码:711 / 740
页数:30
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