Joint Inversion of Crustal Structure with the Rayleigh Wave Phase Velocity Dispersion and the ZH Ratio
Surface waves are essential for resolving Earth's structure on both regional and global scales, and surface wave data are mostly exploited with velocity dispersion. However, dispersion is mostly sensitive to the integral feature of velocity structure, resulting in ambiguities of the model inter...
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Veröffentlicht in: | Pure and applied geophysics 2015-10, Vol.172 (10), p.2585-2600 |
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description | Surface waves are essential for resolving Earth's structure on both regional and global scales, and surface wave data are mostly exploited with velocity dispersion. However, dispersion is mostly sensitive to the integral feature of velocity structure, resulting in ambiguities of the model interpretation. Recently, it has been demonstrated that the ZH amplitude ratio of a Rayleigh wave is an effective approach for providing extra constraints to reduce ambiguity in surface wave inversion. In this paper, we studied the sensitivities of the Rayleigh wave phase velocity dispersion and the ZH ratio with layered crustal structure via forward modeling. The forward modeling experiments indicate that the Rayleigh wave ZH ratio shows different sensitivity as compared to Rayleigh wave phase velocity dispersion. The ZH ratio is more sensitive to the shallower structure compared to phase velocity dispersion of the same period, and the ZH ratio provides independent constraints on the structure. Thus, the combination of these two datasets should help to better constrain the velocity model. A joint inversion tool is developed to jointly invert for the Rayleigh wave phase velocity and the ZH ratio observations. The inversion is based on a Fast Simulated Annealing algorithm, which generates models randomly and can achieve a global minimum without requiring a sensitivity kernel. Joint inversions based on synthetic datasets confirmed that the ZH ratio together with a phase velocity dispersion curve can reduce the non-uniqueness in crustal structure inversion. |
doi_str_mv | 10.1007/s00024-014-0902-z |
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However, dispersion is mostly sensitive to the integral feature of velocity structure, resulting in ambiguities of the model interpretation. Recently, it has been demonstrated that the ZH amplitude ratio of a Rayleigh wave is an effective approach for providing extra constraints to reduce ambiguity in surface wave inversion. In this paper, we studied the sensitivities of the Rayleigh wave phase velocity dispersion and the ZH ratio with layered crustal structure via forward modeling. The forward modeling experiments indicate that the Rayleigh wave ZH ratio shows different sensitivity as compared to Rayleigh wave phase velocity dispersion. The ZH ratio is more sensitive to the shallower structure compared to phase velocity dispersion of the same period, and the ZH ratio provides independent constraints on the structure. Thus, the combination of these two datasets should help to better constrain the velocity model. A joint inversion tool is developed to jointly invert for the Rayleigh wave phase velocity and the ZH ratio observations. The inversion is based on a Fast Simulated Annealing algorithm, which generates models randomly and can achieve a global minimum without requiring a sensitivity kernel. 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Geophys</addtitle><description>Surface waves are essential for resolving Earth's structure on both regional and global scales, and surface wave data are mostly exploited with velocity dispersion. However, dispersion is mostly sensitive to the integral feature of velocity structure, resulting in ambiguities of the model interpretation. Recently, it has been demonstrated that the ZH amplitude ratio of a Rayleigh wave is an effective approach for providing extra constraints to reduce ambiguity in surface wave inversion. In this paper, we studied the sensitivities of the Rayleigh wave phase velocity dispersion and the ZH ratio with layered crustal structure via forward modeling. The forward modeling experiments indicate that the Rayleigh wave ZH ratio shows different sensitivity as compared to Rayleigh wave phase velocity dispersion. The ZH ratio is more sensitive to the shallower structure compared to phase velocity dispersion of the same period, and the ZH ratio provides independent constraints on the structure. Thus, the combination of these two datasets should help to better constrain the velocity model. A joint inversion tool is developed to jointly invert for the Rayleigh wave phase velocity and the ZH ratio observations. The inversion is based on a Fast Simulated Annealing algorithm, which generates models randomly and can achieve a global minimum without requiring a sensitivity kernel. Joint inversions based on synthetic datasets confirmed that the ZH ratio together with a phase velocity dispersion curve can reduce the non-uniqueness in crustal structure inversion.</description><subject>Ambiguity</subject><subject>Dispersion</subject><subject>Dispersions</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Geophysics/Geodesy</subject><subject>Inversions</subject><subject>Phase transitions</subject><subject>Phase velocity</subject><subject>Rayleigh waves</subject><subject>Simulated annealing</subject><subject>Surface waves</subject><subject>Velocity</subject><subject>Wave velocity</subject><issn>0033-4553</issn><issn>1420-9136</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkU1LAzEQhoMoWKs_wFvAi5fVSbLJbo5SvxEUP8FLSNOsjaybmmSV-utNrQcRxMMwl-d5meFFaJvAHgGo9iMA0LIAkkcCLT5W0ICUFApJmFhFAwDGipJzto42YnwGIFXF5QA15951CZ91bzZE5zvsGzwKfUy6xTcp9Cb1weJ3l6Y4TS2-1vPWuqcpftBvFl9NdbT43rbeuDTHhy7OvlN0N_niH0-zkpzfRGuNbqPd-t5DdHd8dDs6LS4uT85GBxeFLoGngk3yuZIyDpNS1ExIC1SQsRFVTSvGjW7IBKThnICwNH_G6qbhxjDJ9ViOSzZEu8vcWfCvvY1JvbhobNvqzvo-KlJDzWpaCvo_WgkKtazIInXnF_rs-9DlRzJFpGQg6gVFlpQJPsZgGzUL7kWHuSKgFiWpZUkql6QWJamP7NClEzPbPdnwI_lP6RMwMpLG</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Chong, Jiajun</creator><creator>Ni, Sidao</creator><creator>Zhao, Li</creator><general>Springer Basel</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20151001</creationdate><title>Joint Inversion of Crustal Structure with the Rayleigh Wave Phase Velocity Dispersion and the ZH Ratio</title><author>Chong, Jiajun ; Ni, Sidao ; Zhao, Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a405t-3d91392350d468369e0261bc6782735caf1d09c55106e213638ff5cc395ab9b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Ambiguity</topic><topic>Dispersion</topic><topic>Dispersions</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Geophysics/Geodesy</topic><topic>Inversions</topic><topic>Phase transitions</topic><topic>Phase velocity</topic><topic>Rayleigh waves</topic><topic>Simulated annealing</topic><topic>Surface waves</topic><topic>Velocity</topic><topic>Wave velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chong, Jiajun</creatorcontrib><creatorcontrib>Ni, Sidao</creatorcontrib><creatorcontrib>Zhao, Li</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Pure and applied geophysics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chong, Jiajun</au><au>Ni, Sidao</au><au>Zhao, Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Joint Inversion of Crustal Structure with the Rayleigh Wave Phase Velocity Dispersion and the ZH Ratio</atitle><jtitle>Pure and applied geophysics</jtitle><stitle>Pure Appl. Geophys</stitle><date>2015-10-01</date><risdate>2015</risdate><volume>172</volume><issue>10</issue><spage>2585</spage><epage>2600</epage><pages>2585-2600</pages><issn>0033-4553</issn><eissn>1420-9136</eissn><abstract>Surface waves are essential for resolving Earth's structure on both regional and global scales, and surface wave data are mostly exploited with velocity dispersion. However, dispersion is mostly sensitive to the integral feature of velocity structure, resulting in ambiguities of the model interpretation. Recently, it has been demonstrated that the ZH amplitude ratio of a Rayleigh wave is an effective approach for providing extra constraints to reduce ambiguity in surface wave inversion. In this paper, we studied the sensitivities of the Rayleigh wave phase velocity dispersion and the ZH ratio with layered crustal structure via forward modeling. The forward modeling experiments indicate that the Rayleigh wave ZH ratio shows different sensitivity as compared to Rayleigh wave phase velocity dispersion. The ZH ratio is more sensitive to the shallower structure compared to phase velocity dispersion of the same period, and the ZH ratio provides independent constraints on the structure. Thus, the combination of these two datasets should help to better constrain the velocity model. A joint inversion tool is developed to jointly invert for the Rayleigh wave phase velocity and the ZH ratio observations. The inversion is based on a Fast Simulated Annealing algorithm, which generates models randomly and can achieve a global minimum without requiring a sensitivity kernel. Joint inversions based on synthetic datasets confirmed that the ZH ratio together with a phase velocity dispersion curve can reduce the non-uniqueness in crustal structure inversion.</abstract><cop>Basel</cop><pub>Springer Basel</pub><doi>10.1007/s00024-014-0902-z</doi><tpages>16</tpages></addata></record> |
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subjects | Ambiguity Dispersion Dispersions Earth and Environmental Science Earth Sciences Geophysics/Geodesy Inversions Phase transitions Phase velocity Rayleigh waves Simulated annealing Surface waves Velocity Wave velocity |
title | Joint Inversion of Crustal Structure with the Rayleigh Wave Phase Velocity Dispersion and the ZH Ratio |
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