Identification and evaluation of active fault in the reservoir head of Three Gorges Project based on grey statistical model
Abstract
Purpose
The purpose of this paper is to apply grey statistical model to identify and classify live fault rupture.
Design/methodology/approach
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.
Findings
The results show that the results are closer to reality because the grey statistical evaluation method has considered dislocation rate and other discrete factors.
Practical implications
The method exposed in the paper can be used to monitor and recognize live fault rupture in earthquake prediction.
Originality/value
According to the fault dislocation rate, this paper advances active fault rupture identification and classification method based on grey statistical model.
Keywords
Citation
Zhang, J., Liu, Z., Liu, Y. and Liu, Y. (2012), "Identification and evaluation of active fault in the reservoir head of Three Gorges Project based on grey statistical model", Grey Systems: Theory and Application, Vol. 2 No. 2, pp. 299-310. https://doi.org/10.1108/20439371211260252
Publisher
:Emerald Group Publishing Limited
Copyright © 2012, Emerald Group Publishing Limited