Overview and introduction to development of non-ergodic earthquake ground-motion models

• DOI: 10.1007/s10518-022-01485-x
• Publication Date: 2022-08-17T14:05:12Z
• Authors: Grigorios Lavrent...; Norman A. Abrahamson; Kuehn M. Nicolas; Yousef Bozorgnia; Christine A. Goulet; Anže Babič; Jorge Macedo; Matjaž Dolšek; Nicholas Gregor; Albert R. Kottke; Maxime Lacour; Chenying Liu; Xiaofeng Meng; Van-Bang Phung; Chih-Hsuan Sung; Melanie Walling
• Keywords: FOS: Computer and information sciences; verjetnostna analiza potresne nevarnosti; 0211 other engineering and technologies; probabilistic seismic hazard analysis; FOS: Physical sciences; 02 engineering and technology; non-ergodic ground-motion model; Statistics - Applications; 01 natural sciences; regresija z Gaussovimi procesi; Geophysics (physics.geo-ph); Physics - Geophysics; info:eu-repo/classification/udc/624.042.7; neergodični model gibanja tal; 62P30; Applications (stat.AP); 0101 mathematics; Gaussian process regression

AbstractThis paper provides an overview and introduction to the development of non-ergodic ground-motion models, GMMs. It is intended for a reader who is familiar with the standard approach for developing ergodic GMMs. It starts with a brief summary of the development of ergodic GMMs and then describes different methods that are used in the development of non-ergodic GMMs with an emphasis on Gaussian process (GP) regression, as that is currently the method preferred by most researchers contributing to this special issue. Non-ergodic modeling requires the definition of locations for the source and site characterizing the systematic source and site effects; the non-ergodic domain is divided into cells for describing the systematic path effects. Modeling the cell-specific anelastic attenuation as a GP, and considerations on constraints for extrapolation of the non-ergodic GMMs are also discussed. An updated unifying notation for non-ergodic GMMs is also presented, which has been adopted by the authors of this issue.