A new methodology for quantification of the systematic path effects on ground-motion variability

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题名:	A new methodology for quantification of the systematic path effects on ground-motion variability
作者:	李錫堤;Sung, Chih-Hsuan;Lee, Chyi-Tyi
贡献者:	地震災害鏈風險評估及管理研究中心
关键词:	acceleration;Asia;closeness index;data bases;data processing;earthquake prediction;earthquakes;equations;errors;Far East;ground motion;Ilan Plain;interpolation;maximum likelihood;mixed-effect model;path diagram method;path-to-path residuals;quantitative analysis;regression analysis;seismic networks;seismology;standard deviation;statistical analysis;strong motion;Taiwan;traveltime residuals;variance analysis;variations
日期:	2016-12-01
上传时间:	2026-04-23 11:26:18 (UTC+8)
出版者:	Seismological Society of America
摘要:	摘要： This article describes a new approach, the path diagram, for the presentation of the path component of the error in ground-motion estimates for future earthquakes. We use 19,887 records for 150 crustal earthquakes with moment magnitudes greater than 4.0 obtained from the Taiwan Strong Motion Instrumentation Program network to build the Taiwan ground-motion prediction equations for peak ground acceleration (PGA) and spectral accelerations (SAs). The record-to-record residuals are divided into small brackets in a path diagram for six source-to-site distance bins and eight source-to-site azimuth bins. The mean residuals are estimated for each path bin, from which we can get 48 path-to-path residuals for a site and compute a repeatable path term for all residuals of all stations. The remaining unexplained residuals are then estimated through the decomposition of the variance components. Comparing the results with those obtained with the same data, but using the closeness index approach, shows that we get a lower remaining variance and the higher repeatable path term with the new method. For PGA and SAs at periods of 0.3, 1.0, and 3.0 s, the remaining unexplained intraevent standard deviations obtained in the path diagram approach are 29%-40% smaller than the record-to-record standard deviation. 出版者： Seismological Society of America 出版日期： 2016-12-01 出處： Bulletin of the Seismological Society of America, 2016-12, Vol.106 (6), p.2796-2810 資源來源： GeoScienceWorld 版權： GeoRef, Copyright 2020, American Geosciences Institute. Reference includes data from GeoScienceWorld Alexandria, VA USA United States. Abstract, Copyright, Seismological Society of America 識別號： ISSN: 0037-1106 識別號： EISSN: 1943-3573 識別號： DOI: 10.1785/0120160038
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