Multi-source geographically weighted regression for regionalized ground-motion models
Tài liệu tham khảo
Al-Atik, 2010, The variability of ground-motion prediction models and its components, Seismol. Res. Lett., 81, 794, 10.1785/gssrl.81.5.794
Ancheta, 2014, NGA-West2 database, Earthq. Spectr., 30, 989, 10.1193/070913EQS197M
Anderson, 1999, Probabilistic seismic hazard analysis without the ergodic assumption, Seismol. Res. Lett., 70, 19, 10.1785/gssrl.70.1.19
Azzaro, 2006, The attenuation of seismic intensity in the etna region and comparison with other Italian volcanic districts, Ann. Geophys., 49, 1003
Bindi, 2017, The predictive power of ground-motion prediction equations, Bull. Seismol. Soc. Am., 107, 1005, 10.1785/0120160224
Boore, 2010, Orientation-independent, nongeometric-mean measures of seismic intensity from two horizontal components of motion, Bull. Seismol. Soc. Am., 100, 1830, 10.1785/0120090400
Brunsdon, 1998, Geographically weighted regression - modelling spatial non-stationarity, J. R. Stat. Soc. Ser. D. (Statist.), 47, 431
Bussas, M., Sawade, C., Scheffer, T., Landwehr, N., 2015. Varying-Coefficient Models with Isotropic Gaussian Process Priors. Technical Report, arXiv e-prints, arXiv:1508.07192.
D’Amico, 2020
Ditommaso, 2010, Effect of a single vibrating building on free-field ground motion: numerical and experimental evidences, Bull. Earthq. Eng., 8, 693, 10.1007/s10518-009-9134-5
Douglas, 2003, Earthquake ground motion estimation using strong-motion records: a review of equations for the estimation of peak ground acceleration and response spectral ordinates, Earth-Sci. Rev., 61, 43, 10.1016/S0012-8252(02)00112-5
Douglas, 2021
Douglas, 2016, Recent and future developments in earthquake ground motion estimation, Earth-Sci. Rev., 160, 203, 10.1016/j.earscirev.2016.07.005
2003
Fotheringham, 2002
Freedman, 1983, A nonstochastic interpretation of reported significance levels, J. Bus. Econ. Stat., 1, 292
Jayaram, 2009, Correlation model for spatially distributed ground-motion intensities, Earthquake Engineering Structural Dynamics, 38, 1687, 10.1002/eqe.922
Joyner, 1981, Peak horizontal acceleration and velocity from strong-motion records including records from the 1979 imperial valley, california, earthquake, Bull. Seismol. Soc. Am., 71, 2011, 10.1785/BSSA0710062011
Kotha, 2018
Kotha, 2020, A regionally-adaptable ground-motion model for shallow crustal earthquakes in europe, Bull. Earthq. Eng., 18, 4091, 10.1007/s10518-020-00869-1
Kuehn, 2020, Spatial correlations of ground motion for non-ergodic seismic hazard analysis, Earthq. Eng. Struct. Dyn., 49, 4, 10.1002/eqe.3221
Kuehn, 2019, Incorporating nonergodic path effects into the NGA-West2 ground-motion prediction equations, Bull. Seismol. Soc. Am., 109, 575, 10.1785/0120180260
Kuehn, N., Kotha, S., Landwehr, N., 2019. A Non-ergodic GMPE for Europe and the Middle East with Spatially Varying Coefficients. In: EGU General Assembly Conference Abstracts, pp. 11166.
Landwehr, 2016, A nonergodic ground-motion model for California with spatially varying coefficients, Bull. Seismol. Soc. Am., 106, 2574, 10.1785/0120160118
Lanzano, 2016, Ground-motion prediction equations for region-specific probabilistic seismic-hazard analysis, Bull. Seismol. Soc. Am., 106, 73, 10.1785/0120150096
Lanzano, 2019, A revised ground-motion prediction model for shallow crustal earthquakes in Italy, Bull. Seismol. Soc. Am., 109, 525, 10.1785/0120180210
Lanzano, 2021, Ground-motion model for crustal events in Italy by applying the multisource geographically weighted regression (MS-GWR) method, Bull. Seismol. Soc. Am., 111, 10.1785/0120210044
Lanzano, 2019, The pan-European engineering strong motion (ESM) flatfile: compilation criteria and data statistics. Bulletin of earthquake engineering, Bull. Earthq. Eng., 17, 561, 10.1007/s10518-018-0480-z
Leung, 2000, Statistical tests for spatial nonstationary based on the geographically weighted regression model, Environ. Plan. A, 32, 9, 10.1068/a3162
Luzi, 2020
Marron, 2014, Overview of object oriented data analysis, Biom. J., 56, 732, 10.1002/bimj.201300072
Mei, 2005
Mei, 2006, Testing the importance of the explanatory variables in a mixed geographically weighted regression model, Environ. Plan. A, 38, 587, 10.1068/a3768
Mei, 2016, A bootstrap test for constant coefficients in geographically weighted regression models, Int. J. Geograph. Inform. Sci., 30, 1622, 10.1080/13658816.2016.1149181
Meletti, 2020, A reappraisal of the seismicity of Sardinia, Italy, Seismol. Res. Lett., 92, 1148, 10.1785/0220200255
Menafoglio, 2020, Simulation of seismic ground motion fields via object-oriented spatial statistics with an application in Northern Italy, Stoch. Environ. Res. Risk Assess., 34, 1607, 10.1007/s00477-020-01847-4
Paolucci, 2011, Record processing in ITACA, the new Italian strong-motion database, 99
Parker, 2020, Repeatable source, path, and site effects from the 2019 m 7.1 ridgecrest earthquake sequence, Bull. Seismol. Soc. Am., 110, 1530, 10.1785/0120200008
Ramsay, 2005
Sahakian, 2019, Ground motion residuals, path effects, and crustal properties: A pilot study in southern california, J. Geophys. Res. Solid Earth, 124, 5738, 10.1029/2018JB016796
Schiappapietra, 2020, Modelling the spatial correlation of earthquake ground motion: Insights from the literature, data from the 2016–2017 central Italy earthquake sequence and ground-motion simulations, Earth-Sci. Rev., 203, 10.1016/j.earscirev.2020.103139
Sgobba, 2021, Empirical nonergodic shaking scenarios based on spatial correlation models: An application to central Italy, Earthq. Eng. Struct. Dyn., 50, 60, 10.1002/eqe.3362
Sgobba, 2019, Spatial correlation model of systematic site and path effects for ground-motion fields in northern Italy, Bull. Seismol. Soc. Am., 109, 1419, 10.1785/0120180209
da Silva, 2016, The multiple testing issue in geographically weighted regression, Geogr. Anal., 48, 233, 10.1111/gean.12084
Stafford, 2014, Crossed and nested mixed-effects approaches for enhanced model development and removal of the ergodic assumption in empirical ground-motion models, Bull. Seismol. Soc. Am., 104, 702, 10.1785/0120130145
Stafford, 2015, Variability and uncertainty in empirical ground-motion prediction for probabilistic hazard and risk analyses, 97
Stucchi, 2011, Seismic hazard assessment (2003–2009) for the Italian building code, Bull. Earthq. Eng., 101
Woessner, 2015, The 2013 European seismic hazard model: key components and results, Bull. Earthq. Eng., 13, 3553, 10.1007/s10518-015-9795-1