Loading…

The Relation Between Ground Motion, Earthquake Source Parameters, and Attenuation: Implications for Source Parameter Inversion and Ground Motion Prediction Equations

Theoretical equations relating the root‐mean‐square (rms) of the far‐field ground motions with earthquake source parameters and attenuation are derived for Brune's omega‐squared model that is subject to attenuation. This set of model‐based predictions paves the way for a completely new approach...

Full description

Saved in:
Bibliographic Details
Published in:Journal of geophysical research. Solid earth 2018-07, Vol.123 (7), p.5886-5901
Main Authors: Lior, Itzhak, Ziv, Alon
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-a3301-6ec94898f59d27ffd45973324749885db91667dd3b55a522bbaae5989e02484f3
cites cdi_FETCH-LOGICAL-a3301-6ec94898f59d27ffd45973324749885db91667dd3b55a522bbaae5989e02484f3
container_end_page 5901
container_issue 7
container_start_page 5886
container_title Journal of geophysical research. Solid earth
container_volume 123
creator Lior, Itzhak
Ziv, Alon
description Theoretical equations relating the root‐mean‐square (rms) of the far‐field ground motions with earthquake source parameters and attenuation are derived for Brune's omega‐squared model that is subject to attenuation. This set of model‐based predictions paves the way for a completely new approach for earthquake source parameter inversion and forms the basis for new physics‐based ground motion prediction equations (GMPEs). The equations for ground displacement, velocity, and acceleration constitute a set of three independent equations with three unknowns: the seismic moment, the stress drop, and the attenuation parameter. These are used for source parameter inversion that circumvents the time‐to‐frequency transformation. Initially, the two source parameters and the attenuation constant are solved simultaneously for each seismogram. Sometimes, however, this one‐step inversion results in ambiguous solutions. Under such circumstances, the procedure proceeds to a two‐step approach, in which a station‐specific attenuation parameter is first determined by averaging the set of attenuation parameters obtained from seismograms whose one‐step inversion yields well‐constrained solutions. Subsequently, the two source parameters are solved using the averaged attenuation parameter. It is concluded that the new scheme is more stable than a frequency domain method, resulting in considerably less within‐event source parameter variability. The above results together with rms‐to‐peak ground motion relations are combined to give first‐order GMPEs for acceleration, velocity, and displacement. In contrast to empirically based GMPEs, the ones introduced here are extremely simple and readily implementable, even in low‐seismicity regions, where the earthquake catalog lacks strong ground motion records. Key Points Theoretical equations for the displacement, velocity, and acceleration root‐mean‐square are derived, relying on the Brune omega‐squared model Using these relations, source parameter inversion is performed in the time domain, producing stable and robust estimates Physics‐based ground motion prediction equations are presented, exhibiting good agreement with previous empirical ones for all magnitudes
doi_str_mv 10.1029/2018JB015504
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2092195785</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2092195785</sourcerecordid><originalsourceid>FETCH-LOGICAL-a3301-6ec94898f59d27ffd45973324749885db91667dd3b55a522bbaae5989e02484f3</originalsourceid><addsrcrecordid>eNp9kd1OwkAQhTdGEwly5wNs4i3V_em2u94BQYRgJIjXzbadhmJpYbeV8EC-py01RmPi3Mzs5DvnbDIIXVNySwlTd4xQORsSKgRxz1CHUU85igvv_Hum_BL1rN2QumS9om4HfazWgJeQ6TItcjyE8gCQ44kpqjzGT0Wz7eOxNuV6X-k3wC9FZSLAC230Fkowto91TQ7KEvLqZHKPp9tdlkanh8VJYf6I8DR_r6VNYiP-lYYXBuI0Oo3jfWtpr9BFojMLva_eRa8P49Xo0Zk_T6ajwdzRnBPqeBApVyqZCBUzP0liVyifc-b6rpJSxKGinufHMQ-F0IKxMNQahJIKCHOlm_Auuml9d6bYV2DLYFN_Pa8jA0YUo0r4UtRUv6UiU1hrIAl2Jt1qcwwoCZpbBD9vUeO8xQ9pBsd_2WA2WQ4FU5TyT60hjEA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2092195785</pqid></control><display><type>article</type><title>The Relation Between Ground Motion, Earthquake Source Parameters, and Attenuation: Implications for Source Parameter Inversion and Ground Motion Prediction Equations</title><source>Wiley</source><source>Alma/SFX Local Collection</source><creator>Lior, Itzhak ; Ziv, Alon</creator><creatorcontrib>Lior, Itzhak ; Ziv, Alon</creatorcontrib><description>Theoretical equations relating the root‐mean‐square (rms) of the far‐field ground motions with earthquake source parameters and attenuation are derived for Brune's omega‐squared model that is subject to attenuation. This set of model‐based predictions paves the way for a completely new approach for earthquake source parameter inversion and forms the basis for new physics‐based ground motion prediction equations (GMPEs). The equations for ground displacement, velocity, and acceleration constitute a set of three independent equations with three unknowns: the seismic moment, the stress drop, and the attenuation parameter. These are used for source parameter inversion that circumvents the time‐to‐frequency transformation. Initially, the two source parameters and the attenuation constant are solved simultaneously for each seismogram. Sometimes, however, this one‐step inversion results in ambiguous solutions. Under such circumstances, the procedure proceeds to a two‐step approach, in which a station‐specific attenuation parameter is first determined by averaging the set of attenuation parameters obtained from seismograms whose one‐step inversion yields well‐constrained solutions. Subsequently, the two source parameters are solved using the averaged attenuation parameter. It is concluded that the new scheme is more stable than a frequency domain method, resulting in considerably less within‐event source parameter variability. The above results together with rms‐to‐peak ground motion relations are combined to give first‐order GMPEs for acceleration, velocity, and displacement. In contrast to empirically based GMPEs, the ones introduced here are extremely simple and readily implementable, even in low‐seismicity regions, where the earthquake catalog lacks strong ground motion records. Key Points Theoretical equations for the displacement, velocity, and acceleration root‐mean‐square are derived, relying on the Brune omega‐squared model Using these relations, source parameter inversion is performed in the time domain, producing stable and robust estimates Physics‐based ground motion prediction equations are presented, exhibiting good agreement with previous empirical ones for all magnitudes</description><identifier>ISSN: 2169-9313</identifier><identifier>EISSN: 2169-9356</identifier><identifier>DOI: 10.1029/2018JB015504</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Acceleration ; Attenuation ; Displacement ; Earthquake prediction ; Earthquakes ; Genetic transformation ; Geophysics ; Ground motion ; ground motion prediction ; inversion ; Mathematical models ; Parameters ; Physics ; Seismic activity ; Seismicity ; Seismograms ; Solutions ; source parameters ; theoretical seismology ; Velocity</subject><ispartof>Journal of geophysical research. Solid earth, 2018-07, Vol.123 (7), p.5886-5901</ispartof><rights>2018. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3301-6ec94898f59d27ffd45973324749885db91667dd3b55a522bbaae5989e02484f3</citedby><cites>FETCH-LOGICAL-a3301-6ec94898f59d27ffd45973324749885db91667dd3b55a522bbaae5989e02484f3</cites><orcidid>0000-0002-9698-9364</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids></links><search><creatorcontrib>Lior, Itzhak</creatorcontrib><creatorcontrib>Ziv, Alon</creatorcontrib><title>The Relation Between Ground Motion, Earthquake Source Parameters, and Attenuation: Implications for Source Parameter Inversion and Ground Motion Prediction Equations</title><title>Journal of geophysical research. Solid earth</title><description>Theoretical equations relating the root‐mean‐square (rms) of the far‐field ground motions with earthquake source parameters and attenuation are derived for Brune's omega‐squared model that is subject to attenuation. This set of model‐based predictions paves the way for a completely new approach for earthquake source parameter inversion and forms the basis for new physics‐based ground motion prediction equations (GMPEs). The equations for ground displacement, velocity, and acceleration constitute a set of three independent equations with three unknowns: the seismic moment, the stress drop, and the attenuation parameter. These are used for source parameter inversion that circumvents the time‐to‐frequency transformation. Initially, the two source parameters and the attenuation constant are solved simultaneously for each seismogram. Sometimes, however, this one‐step inversion results in ambiguous solutions. Under such circumstances, the procedure proceeds to a two‐step approach, in which a station‐specific attenuation parameter is first determined by averaging the set of attenuation parameters obtained from seismograms whose one‐step inversion yields well‐constrained solutions. Subsequently, the two source parameters are solved using the averaged attenuation parameter. It is concluded that the new scheme is more stable than a frequency domain method, resulting in considerably less within‐event source parameter variability. The above results together with rms‐to‐peak ground motion relations are combined to give first‐order GMPEs for acceleration, velocity, and displacement. In contrast to empirically based GMPEs, the ones introduced here are extremely simple and readily implementable, even in low‐seismicity regions, where the earthquake catalog lacks strong ground motion records. Key Points Theoretical equations for the displacement, velocity, and acceleration root‐mean‐square are derived, relying on the Brune omega‐squared model Using these relations, source parameter inversion is performed in the time domain, producing stable and robust estimates Physics‐based ground motion prediction equations are presented, exhibiting good agreement with previous empirical ones for all magnitudes</description><subject>Acceleration</subject><subject>Attenuation</subject><subject>Displacement</subject><subject>Earthquake prediction</subject><subject>Earthquakes</subject><subject>Genetic transformation</subject><subject>Geophysics</subject><subject>Ground motion</subject><subject>ground motion prediction</subject><subject>inversion</subject><subject>Mathematical models</subject><subject>Parameters</subject><subject>Physics</subject><subject>Seismic activity</subject><subject>Seismicity</subject><subject>Seismograms</subject><subject>Solutions</subject><subject>source parameters</subject><subject>theoretical seismology</subject><subject>Velocity</subject><issn>2169-9313</issn><issn>2169-9356</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kd1OwkAQhTdGEwly5wNs4i3V_em2u94BQYRgJIjXzbadhmJpYbeV8EC-py01RmPi3Mzs5DvnbDIIXVNySwlTd4xQORsSKgRxz1CHUU85igvv_Hum_BL1rN2QumS9om4HfazWgJeQ6TItcjyE8gCQ44kpqjzGT0Wz7eOxNuV6X-k3wC9FZSLAC230Fkowto91TQ7KEvLqZHKPp9tdlkanh8VJYf6I8DR_r6VNYiP-lYYXBuI0Oo3jfWtpr9BFojMLva_eRa8P49Xo0Zk_T6ajwdzRnBPqeBApVyqZCBUzP0liVyifc-b6rpJSxKGinufHMQ-F0IKxMNQahJIKCHOlm_Auuml9d6bYV2DLYFN_Pa8jA0YUo0r4UtRUv6UiU1hrIAl2Jt1qcwwoCZpbBD9vUeO8xQ9pBsd_2WA2WQ4FU5TyT60hjEA</recordid><startdate>201807</startdate><enddate>201807</enddate><creator>Lior, Itzhak</creator><creator>Ziv, Alon</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-9698-9364</orcidid></search><sort><creationdate>201807</creationdate><title>The Relation Between Ground Motion, Earthquake Source Parameters, and Attenuation: Implications for Source Parameter Inversion and Ground Motion Prediction Equations</title><author>Lior, Itzhak ; Ziv, Alon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3301-6ec94898f59d27ffd45973324749885db91667dd3b55a522bbaae5989e02484f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acceleration</topic><topic>Attenuation</topic><topic>Displacement</topic><topic>Earthquake prediction</topic><topic>Earthquakes</topic><topic>Genetic transformation</topic><topic>Geophysics</topic><topic>Ground motion</topic><topic>ground motion prediction</topic><topic>inversion</topic><topic>Mathematical models</topic><topic>Parameters</topic><topic>Physics</topic><topic>Seismic activity</topic><topic>Seismicity</topic><topic>Seismograms</topic><topic>Solutions</topic><topic>source parameters</topic><topic>theoretical seismology</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lior, Itzhak</creatorcontrib><creatorcontrib>Ziv, Alon</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Journal of geophysical research. Solid earth</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lior, Itzhak</au><au>Ziv, Alon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Relation Between Ground Motion, Earthquake Source Parameters, and Attenuation: Implications for Source Parameter Inversion and Ground Motion Prediction Equations</atitle><jtitle>Journal of geophysical research. Solid earth</jtitle><date>2018-07</date><risdate>2018</risdate><volume>123</volume><issue>7</issue><spage>5886</spage><epage>5901</epage><pages>5886-5901</pages><issn>2169-9313</issn><eissn>2169-9356</eissn><abstract>Theoretical equations relating the root‐mean‐square (rms) of the far‐field ground motions with earthquake source parameters and attenuation are derived for Brune's omega‐squared model that is subject to attenuation. This set of model‐based predictions paves the way for a completely new approach for earthquake source parameter inversion and forms the basis for new physics‐based ground motion prediction equations (GMPEs). The equations for ground displacement, velocity, and acceleration constitute a set of three independent equations with three unknowns: the seismic moment, the stress drop, and the attenuation parameter. These are used for source parameter inversion that circumvents the time‐to‐frequency transformation. Initially, the two source parameters and the attenuation constant are solved simultaneously for each seismogram. Sometimes, however, this one‐step inversion results in ambiguous solutions. Under such circumstances, the procedure proceeds to a two‐step approach, in which a station‐specific attenuation parameter is first determined by averaging the set of attenuation parameters obtained from seismograms whose one‐step inversion yields well‐constrained solutions. Subsequently, the two source parameters are solved using the averaged attenuation parameter. It is concluded that the new scheme is more stable than a frequency domain method, resulting in considerably less within‐event source parameter variability. The above results together with rms‐to‐peak ground motion relations are combined to give first‐order GMPEs for acceleration, velocity, and displacement. In contrast to empirically based GMPEs, the ones introduced here are extremely simple and readily implementable, even in low‐seismicity regions, where the earthquake catalog lacks strong ground motion records. Key Points Theoretical equations for the displacement, velocity, and acceleration root‐mean‐square are derived, relying on the Brune omega‐squared model Using these relations, source parameter inversion is performed in the time domain, producing stable and robust estimates Physics‐based ground motion prediction equations are presented, exhibiting good agreement with previous empirical ones for all magnitudes</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2018JB015504</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-9698-9364</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 2169-9313
ispartof Journal of geophysical research. Solid earth, 2018-07, Vol.123 (7), p.5886-5901
issn 2169-9313
2169-9356
language eng
recordid cdi_proquest_journals_2092195785
source Wiley; Alma/SFX Local Collection
subjects Acceleration
Attenuation
Displacement
Earthquake prediction
Earthquakes
Genetic transformation
Geophysics
Ground motion
ground motion prediction
inversion
Mathematical models
Parameters
Physics
Seismic activity
Seismicity
Seismograms
Solutions
source parameters
theoretical seismology
Velocity
title The Relation Between Ground Motion, Earthquake Source Parameters, and Attenuation: Implications for Source Parameter Inversion and Ground Motion Prediction Equations
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T14%3A17%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Relation%20Between%20Ground%20Motion,%20Earthquake%20Source%20Parameters,%20and%20Attenuation:%20Implications%20for%20Source%20Parameter%20Inversion%20and%20Ground%20Motion%20Prediction%20Equations&rft.jtitle=Journal%20of%20geophysical%20research.%20Solid%20earth&rft.au=Lior,%20Itzhak&rft.date=2018-07&rft.volume=123&rft.issue=7&rft.spage=5886&rft.epage=5901&rft.pages=5886-5901&rft.issn=2169-9313&rft.eissn=2169-9356&rft_id=info:doi/10.1029/2018JB015504&rft_dat=%3Cproquest_cross%3E2092195785%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a3301-6ec94898f59d27ffd45973324749885db91667dd3b55a522bbaae5989e02484f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2092195785&rft_id=info:pmid/&rfr_iscdi=true