Identification of co-seismic ground motion due to fracturing and impact of the Tsaoling landslide, Taiwan
Earthquakes can generate seismic disturbances that propagate vast distances and trigger landslides that can achieve high-speeds. It remains difficult to identify the co-seismic ground motion of these landslides and their triggering earthquakes. In this paper, we report on the analysis of co-seismic...
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description | Earthquakes can generate seismic disturbances that propagate vast distances and trigger landslides that can achieve high-speeds. It remains difficult to identify the co-seismic ground motion of these landslides and their triggering earthquakes. In this paper, we report on the analysis of co-seismic ground motions generated by the initiating fracture and deposition impact of the Tsaoling landslide. The landslide, with a source volume of 125×106m3, was triggered by the 1999 Chi-Chi earthquake in Taiwan. The ground motion was recorded by a strong ground motion station, CHY080, near the scar area. The polarization of the seismic waves indicates that the peak acceleration was parallel to the dip direction. Modified ensemble empirical mode decomposition (EEMD), with additional clustering analysis, was applied to decompose the seismic signals. Two instances were found in the seismic records of a series of peculiar wave packets, with the first being associated with the landslide initiation and the second the landslide impact on the deposit valley. To confirm the first landslide breakage, the decomposed signals were compared with the predictions of the analytic elastic wave model and Newmark analysis. The landslide impact was verified with a computational fluid dynamic simulation. Comparison between the EEMD decomposed signals, elastic wave theory, Newmark rigid body analysis, and numerical simulation demonstrates the claimed landslide motion.
•EEMD is used to extract coseismic landslide fracturing and impact signals.•The landslide fracturing produces a 2D polarized sharp intermittent motion.•The elastic model predicts correct time and magnitude scales of the fracturing.•The initiation time is in excellent agreement with the Newmark analysis.•The landslide impact signals are inspected using CFD simulation. |
doi_str_mv | 10.1016/j.enggeo.2015.07.013 |
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•EEMD is used to extract coseismic landslide fracturing and impact signals.•The landslide fracturing produces a 2D polarized sharp intermittent motion.•The elastic model predicts correct time and magnitude scales of the fracturing.•The initiation time is in excellent agreement with the Newmark analysis.•The landslide impact signals are inspected using CFD simulation.</description><identifier>ISSN: 0013-7952</identifier><identifier>EISSN: 1872-6917</identifier><identifier>DOI: 10.1016/j.enggeo.2015.07.013</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Chi-Chi earthquake ; Computer simulation ; Decomposition ; Earthquakes ; Elastic waves ; empirical mode decomposition ; Ground motion ; Landslides ; Mathematical models ; Newmark analysis ; Rigid-body dynamics ; statistical clustering analysis ; transient elastic wave</subject><ispartof>Engineering geology, 2015-09, Vol.196, p.268-279</ispartof><rights>2015 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a310t-828f2c7f23b91a1248fd08783dfe63e0504a5d9c7e7875dfbcc715803ad326033</citedby><cites>FETCH-LOGICAL-a310t-828f2c7f23b91a1248fd08783dfe63e0504a5d9c7e7875dfbcc715803ad326033</cites><orcidid>0000-0003-2809-0733 ; 0000-0002-1936-5013</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enggeo.2015.07.013$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Kuo, Chih-Yu</creatorcontrib><creatorcontrib>Chang, Kuo-Jen</creatorcontrib><creatorcontrib>Tsai, Pi-Wen</creatorcontrib><creatorcontrib>Wei, Shao-Kuan</creatorcontrib><creatorcontrib>Chen, Rou-Fei</creatorcontrib><creatorcontrib>Dong, Jia-Jyun</creatorcontrib><creatorcontrib>Yang, Che-Ming</creatorcontrib><creatorcontrib>Chan, Yu-Chang</creatorcontrib><creatorcontrib>Tai, Yih-Chin</creatorcontrib><title>Identification of co-seismic ground motion due to fracturing and impact of the Tsaoling landslide, Taiwan</title><title>Engineering geology</title><description>Earthquakes can generate seismic disturbances that propagate vast distances and trigger landslides that can achieve high-speeds. It remains difficult to identify the co-seismic ground motion of these landslides and their triggering earthquakes. In this paper, we report on the analysis of co-seismic ground motions generated by the initiating fracture and deposition impact of the Tsaoling landslide. The landslide, with a source volume of 125×106m3, was triggered by the 1999 Chi-Chi earthquake in Taiwan. The ground motion was recorded by a strong ground motion station, CHY080, near the scar area. The polarization of the seismic waves indicates that the peak acceleration was parallel to the dip direction. Modified ensemble empirical mode decomposition (EEMD), with additional clustering analysis, was applied to decompose the seismic signals. Two instances were found in the seismic records of a series of peculiar wave packets, with the first being associated with the landslide initiation and the second the landslide impact on the deposit valley. To confirm the first landslide breakage, the decomposed signals were compared with the predictions of the analytic elastic wave model and Newmark analysis. The landslide impact was verified with a computational fluid dynamic simulation. Comparison between the EEMD decomposed signals, elastic wave theory, Newmark rigid body analysis, and numerical simulation demonstrates the claimed landslide motion.
•EEMD is used to extract coseismic landslide fracturing and impact signals.•The landslide fracturing produces a 2D polarized sharp intermittent motion.•The elastic model predicts correct time and magnitude scales of the fracturing.•The initiation time is in excellent agreement with the Newmark analysis.•The landslide impact signals are inspected using CFD simulation.</description><subject>Chi-Chi earthquake</subject><subject>Computer simulation</subject><subject>Decomposition</subject><subject>Earthquakes</subject><subject>Elastic waves</subject><subject>empirical mode decomposition</subject><subject>Ground motion</subject><subject>Landslides</subject><subject>Mathematical models</subject><subject>Newmark analysis</subject><subject>Rigid-body dynamics</subject><subject>statistical clustering analysis</subject><subject>transient elastic wave</subject><issn>0013-7952</issn><issn>1872-6917</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqFUctO5DAQtBBIDI8_4ODjHjahbSexc0FCiJeExGU4W8ZuDx4l8aydLOLvSRjOcGpVV1Wru4uQCwYlA9ZcbkscNhuMJQdWlyBLYOKArJiSvGhaJg_JCuZWIduaH5OTnLcLBJArEh4dDmPwwZoxxIFGT20sMobcB0s3KU6Do3384tyEdIzUJ2PHKYVhQ81Mhn4348U4viFdZxO7hepmLnfB4V-6NuHdDGfkyJsu4_l3PSUvd7frm4fi6fn-8eb6qTCCwVgorjy30nPx2jLDeKW8AyWVcB4bgVBDZWrXWolSydr5V2slqxUI4wRvQIhT8mc_d5fivwnzqPuQLXbzQhinrJkCJZq2beTvUllVTdu0fJFWe6lNMeeEXu9S6E360Az0EoLe6n0IeglBg9Tzi2fb1d6G88X_AyadbcDBogsJ7ahdDD8P-AQJ6JIQ</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Kuo, Chih-Yu</creator><creator>Chang, Kuo-Jen</creator><creator>Tsai, Pi-Wen</creator><creator>Wei, Shao-Kuan</creator><creator>Chen, Rou-Fei</creator><creator>Dong, Jia-Jyun</creator><creator>Yang, Che-Ming</creator><creator>Chan, Yu-Chang</creator><creator>Tai, Yih-Chin</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SM</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0003-2809-0733</orcidid><orcidid>https://orcid.org/0000-0002-1936-5013</orcidid></search><sort><creationdate>20150901</creationdate><title>Identification of co-seismic ground motion due to fracturing and impact of the Tsaoling landslide, Taiwan</title><author>Kuo, Chih-Yu ; Chang, Kuo-Jen ; Tsai, Pi-Wen ; Wei, Shao-Kuan ; Chen, Rou-Fei ; Dong, Jia-Jyun ; Yang, Che-Ming ; Chan, Yu-Chang ; Tai, Yih-Chin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a310t-828f2c7f23b91a1248fd08783dfe63e0504a5d9c7e7875dfbcc715803ad326033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Chi-Chi earthquake</topic><topic>Computer simulation</topic><topic>Decomposition</topic><topic>Earthquakes</topic><topic>Elastic waves</topic><topic>empirical mode decomposition</topic><topic>Ground motion</topic><topic>Landslides</topic><topic>Mathematical models</topic><topic>Newmark analysis</topic><topic>Rigid-body dynamics</topic><topic>statistical clustering analysis</topic><topic>transient elastic wave</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuo, Chih-Yu</creatorcontrib><creatorcontrib>Chang, Kuo-Jen</creatorcontrib><creatorcontrib>Tsai, Pi-Wen</creatorcontrib><creatorcontrib>Wei, Shao-Kuan</creatorcontrib><creatorcontrib>Chen, Rou-Fei</creatorcontrib><creatorcontrib>Dong, Jia-Jyun</creatorcontrib><creatorcontrib>Yang, Che-Ming</creatorcontrib><creatorcontrib>Chan, Yu-Chang</creatorcontrib><creatorcontrib>Tai, Yih-Chin</creatorcontrib><collection>CrossRef</collection><collection>Earthquake Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Engineering geology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuo, Chih-Yu</au><au>Chang, Kuo-Jen</au><au>Tsai, Pi-Wen</au><au>Wei, Shao-Kuan</au><au>Chen, Rou-Fei</au><au>Dong, Jia-Jyun</au><au>Yang, Che-Ming</au><au>Chan, Yu-Chang</au><au>Tai, Yih-Chin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of co-seismic ground motion due to fracturing and impact of the Tsaoling landslide, Taiwan</atitle><jtitle>Engineering geology</jtitle><date>2015-09-01</date><risdate>2015</risdate><volume>196</volume><spage>268</spage><epage>279</epage><pages>268-279</pages><issn>0013-7952</issn><eissn>1872-6917</eissn><abstract>Earthquakes can generate seismic disturbances that propagate vast distances and trigger landslides that can achieve high-speeds. It remains difficult to identify the co-seismic ground motion of these landslides and their triggering earthquakes. In this paper, we report on the analysis of co-seismic ground motions generated by the initiating fracture and deposition impact of the Tsaoling landslide. The landslide, with a source volume of 125×106m3, was triggered by the 1999 Chi-Chi earthquake in Taiwan. The ground motion was recorded by a strong ground motion station, CHY080, near the scar area. The polarization of the seismic waves indicates that the peak acceleration was parallel to the dip direction. Modified ensemble empirical mode decomposition (EEMD), with additional clustering analysis, was applied to decompose the seismic signals. Two instances were found in the seismic records of a series of peculiar wave packets, with the first being associated with the landslide initiation and the second the landslide impact on the deposit valley. To confirm the first landslide breakage, the decomposed signals were compared with the predictions of the analytic elastic wave model and Newmark analysis. The landslide impact was verified with a computational fluid dynamic simulation. Comparison between the EEMD decomposed signals, elastic wave theory, Newmark rigid body analysis, and numerical simulation demonstrates the claimed landslide motion.
•EEMD is used to extract coseismic landslide fracturing and impact signals.•The landslide fracturing produces a 2D polarized sharp intermittent motion.•The elastic model predicts correct time and magnitude scales of the fracturing.•The initiation time is in excellent agreement with the Newmark analysis.•The landslide impact signals are inspected using CFD simulation.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.enggeo.2015.07.013</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-2809-0733</orcidid><orcidid>https://orcid.org/0000-0002-1936-5013</orcidid></addata></record> |
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subjects | Chi-Chi earthquake Computer simulation Decomposition Earthquakes Elastic waves empirical mode decomposition Ground motion Landslides Mathematical models Newmark analysis Rigid-body dynamics statistical clustering analysis transient elastic wave |
title | Identification of co-seismic ground motion due to fracturing and impact of the Tsaoling landslide, Taiwan |
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