IGSNRR OpenIR
New Evaluation Models of Newmark Displacement for Southwest China
Jia-Liang, Jin1,2,3; Yin, Wang3; Dan, Gao4; Ren-Mao, Yuan3; Xiao-Yan, Yang2
2018-08-01
Source PublicationBULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
ISSN0037-1106
Volume108Issue:4Pages:2221-2236
Corresponding AuthorJia-Liang, Jin(jinjl.15s@igsnrr.ac.cn)
AbstractIn this article, the authors aim to establish the suitable Newmark displacement models of the coseismic displacements for southwest China, where the 2008 Wenchuan earthquake, the 2013 Lushan earthquake, and the 2017 Jiuzhaigou earthquake occurred. Based on the 33 strong ground motion data recordings during the 2008 M-w 7.9 Wenchuan earthquake, the Newmark displacement (D-n) value, the critical acceleration (A(c)), and the Arias intensity (I-A) value of the recordings are used for relationship analysis. The new parameters are then fitted to southwest China based on the functional form of Jibson's models and their modified models. Results show that the models have higher correlation coefficients and smaller estimation errors. These are then tested by the strong ground motion data of the 2013 M-w 6.6 Lushan earthquake, indicating that the models with new fitting parameters are suitable for the southwest area of China. According to comparison analysis, one of the models with newly fitted parameters has the smallest error and the maximum correlation coefficient: log D-n = 0.465 log I-A + 12.896A(c) log I-A - 22.201A(c) + 2.092 +/- 0.148(R-2 = 0.92), being recommended for the southwest area of China. Subsequently, this model is used to evaluate the landslide hazards induced by the 2017 M-s 7.0 Jiuzhaigou earthquake, the results of which are consistent with the survey results. Therefore, the recommended model is useful for the future earthquake hazard assessment in the southwest area of China. The results presented in this article also suggest that assessment models need to be refitted with new parameters for estimating the coseismic displacement in a specific region, which will get better estimated values.
DOI10.1785/0120170349
WOS KeywordPEAK GROUND ACCELERATION ; 7.9 WENCHUAN EARTHQUAKE ; LANDSLIDE DISPLACEMENT ; SEISMIC DISPLACEMENT ; HAZARD ASSESSMENT ; ARIAS INTENSITY ; SLOPES ; DAMS ; AREA
Indexed BySCI
Language英语
Funding ProjectBasic Science Fund of the Institute of Geology, China Earthquake Administration[IGCEA-1604] ; National Natural Science Foundation of China[41372219] ; National Natural Science Foundation of China[41272298] ; National Natural Science Foundation of China[41172193]
Funding OrganizationBasic Science Fund of the Institute of Geology, China Earthquake Administration ; National Natural Science Foundation of China
WOS Research AreaGeochemistry & Geophysics
WOS SubjectGeochemistry & Geophysics
WOS IDWOS:000440400000030
PublisherSEISMOLOGICAL SOC AMER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54464
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJia-Liang, Jin
Affiliation1.Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A,Datun Rd, Beijing 100101, Peoples R China
3.China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, A 1, Beijing 100029, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A,Datun Rd, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Jia-Liang, Jin,Yin, Wang,Dan, Gao,et al. New Evaluation Models of Newmark Displacement for Southwest China[J]. BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA,2018,108(4):2221-2236.
APA Jia-Liang, Jin,Yin, Wang,Dan, Gao,Ren-Mao, Yuan,&Xiao-Yan, Yang.(2018).New Evaluation Models of Newmark Displacement for Southwest China.BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA,108(4),2221-2236.
MLA Jia-Liang, Jin,et al."New Evaluation Models of Newmark Displacement for Southwest China".BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA 108.4(2018):2221-2236.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jia-Liang, Jin]'s Articles
[Yin, Wang]'s Articles
[Dan, Gao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jia-Liang, Jin]'s Articles
[Yin, Wang]'s Articles
[Dan, Gao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jia-Liang, Jin]'s Articles
[Yin, Wang]'s Articles
[Dan, Gao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.