{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:56:46Z","timestamp":1754157406450,"version":"3.41.2"},"reference-count":14,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2012,8,17]],"date-time":"2012-08-17T00:00:00Z","timestamp":1345161600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,8,17]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to apply grey statistical model to identify and classify live fault rupture.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>Based on grey statistical mode, this paper uses eight faults' ripping speed observation data from 1997 to 2001, according to the grey statistics method for analysis, and recognizes active fault rupture situation. Using the conventional methods, namely taking all faults monitoring stations' average dislocation rate to analysis and make judgment, the average results are obtained.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The results show that the results are closer to reality because the grey statistical evaluation method has considered dislocation rate and other discrete factors.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>The method exposed in the paper can be used to monitor and recognize live fault rupture in earthquake prediction.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>According to the fault dislocation rate, this paper advances active fault rupture identification and classification method based on grey statistical model.<\/jats:p><\/jats:sec>","DOI":"10.1108\/20439371211260252","type":"journal-article","created":{"date-parts":[[2014,11,13]],"date-time":"2014-11-13T12:10:36Z","timestamp":1415880636000},"page":"299-310","source":"Crossref","is-referenced-by-count":0,"title":["Identification and evaluation of active fault in the reservoir head of Three Gorges Project based on grey statistical model"],"prefix":"10.1108","volume":"2","author":[{"given":"Jun","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Zuqiang","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yanjie","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yong","family":"Liu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022032020085627900_b2","unstructured":"Deng, J. (2002), The Basic Grey Theory, Science and Technology University, Wuhan."},{"key":"key2022032020085627900_b15","unstructured":"DL\/T 5335\u20102006 (2006), Hydropower Project Regional Structure Stability Reconnaissance Technical Regulation, DL\/T 5335\u20102006."},{"key":"key2022032020085627900_b12","unstructured":"Jin, H. (2011), \u201cResearch on comprehensive evaluation methods of monitoring and early warning for rock slope\u201d, Journal of Yangtze River Scientific Research Institute, Vol. 28 No. 1, pp. 9\u201033."},{"key":"key2022032020085627900_b8","unstructured":"Jing, Y., Zhang, Y. and Zhou, Z. (2009), \u201cResearch of active faults at home and abroad\u201d, Jilin Geology, Vol. 28 No. 2, pp. 1\u20103."},{"key":"key2022032020085627900_b5","unstructured":"Lin, B., Xia, X., Cui, L., Zhai, S., Huang, J., Wang, A. and Xu, Y. (2009), \u201cDiscussion on activity of fault F2 Kizil Reservoir in Xinjiang\u201d, Journal of Engineering Geology, Vol. 17 No. 6, pp. 780\u20107."},{"key":"key2022032020085627900_b3","unstructured":"Liu, S., Dang, Y. and Fang, Z. (2010), The Theory of Grey System and its Application, 5th ed., Science Press, Beijing."},{"key":"key2022032020085627900_b1","unstructured":"Liu, Z., Zhang, Z., Yang, Q., Liu, Y. and Luo, C. (2008), \u201cMonitoring methods of landslide deformation near the dam reservoir bank\u201d, Chinese Journal of Engineering Geophysics, Vol. 5 No. 3, pp. 351\u20105."},{"key":"key2022032020085627900_b10","unstructured":"Wu, J., Chen, Y. and Xu, C. (2000), \u201cInversion of mechanism of active faults by deformation data\u201d, Acta Geodaet Ica et Cartographica Sinica, Vol. 29, Supplement, pp. 53\u20108."},{"key":"key2022032020085627900_b7","unstructured":"Yin, H., Tang, C. and Chang, Y. (1996), \u201cAn application of time series analysis and grey theory in the deformation prediction at LianZi Cliff\u201d, Proceedings of the 8th FIG International Symposium on Deformation Measurements, Hong Kong, pp. 267\u201073."},{"key":"key2022032020085627900_b9","unstructured":"Zeng, B., Liu, S., Fang, Z. and Xie, N. (2009), \u201cGrey combined forecast models and its application\u201d, Chinese Journal of Management Science, Vol. 17 No. 5, pp. 150\u201066."},{"key":"key2022032020085627900_b14","unstructured":"Zhang, J. and Liu, Z. et al. (2010), Landslide Deformation Monitoring Analysis and Prediction Based on Nonlinear Theory and Method, China Water & Power Press, Beijing."},{"key":"key2022032020085627900_frd1","unstructured":"Gao, H., Zhu, Y., Han, M., Dou, M. and Li, J. (2009), \u201cResearch on deformation characteristics of Weihe basin\u201d, Journal of Geodesy and Geodynamics, Vol. 29 No. 3, pp. 60\u20106."},{"key":"key2022032020085627900_frd2","unstructured":"Yang, Y., Su, Q. and Zhu, H. (2005), \u201cActive characteristic of several faults in Yunnan and Sichuan provinces based on the results from the observation data of both leveling and base line\u201d, Earthquake Research in Sichuan, No. 3, pp. 17\u201021."},{"key":"key2022032020085627900_frd3","unstructured":"Yuan, C., Liu, S. and Zhang, K. (2011), \u201cPrediction model for interval grey number based on trend and cognition\u201d, Control and Decision, Vol. 26 No. 2, pp. 313\u201019."}],"container-title":["Grey Systems: Theory and Application"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/20439371211260252","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/20439371211260252\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/20439371211260252\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T23:52:40Z","timestamp":1753401160000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/gs\/article\/2\/2\/299-310\/79057"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,8,17]]},"references-count":14,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,8,17]]}},"alternative-id":["10.1108\/20439371211260252"],"URL":"https:\/\/doi.org\/10.1108\/20439371211260252","relation":{},"ISSN":["2043-9377"],"issn-type":[{"type":"print","value":"2043-9377"}],"subject":[],"published":{"date-parts":[[2012,8,17]]}}}