K -Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China)
Joint Authors
Li, Xibing
Peng, Kang
Shang, Xueyi
Morales-Esteban, A.
Dong, Longjun
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Seismicity partitioning is an important step in geological structure interpretation and seismic hazard assessment.
In this paper, seismic event location (X,Y,Z) and Euclidean distance were selected as the K-Means cluster, the Gaussian mixture model (GMM), and the self-organizing maps (SOM) input features and cluster determination measurement, respectively, and 1516 seismic events (M>-1.5) obtained from the Yongshaba mine (China) were chosen for the cluster analysis.
In addition, a Silhouette and Krzanowski-Lai- (KL-) combined S-KL index was proposed to obtain the possible optimum cluster number and to compare the cluster methods.
Results show that the K-Means cluster obtains the best cluster “quality” with higher S-KL indexes on the whole and meaningful clusters.
Furthermore, the optimal number for detailed geological structure interpretation is confirmed as eleven clusters, and we found that two areas probably have faults or caves, and two faults may be falsely inferred by mine geologists.
Seismic hazard assessment shows that C5 and C7 (K=11) have a high mean moment magnitude (mM) and C1, C2, C3, and C4 (K=11) have a relatively high mM, where special attention is needed when mining.
In addition, C7 (K=11) is the most shear-related area with a mean S-wave to P-wave energy ratio (mEs/Ep) of 41.21.
In conclusion, the K-Means cluster provides an effective way for mine seismicity partitioning, geological structure interpretation, and seismic hazard assessment.
American Psychological Association (APA)
Shang, Xueyi& Li, Xibing& Morales-Esteban, A.& Dong, Longjun& Peng, Kang. 2017. K -Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China). Shock and Vibration،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1204738
Modern Language Association (MLA)
Shang, Xueyi…[et al.]. K -Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China). Shock and Vibration No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1204738
American Medical Association (AMA)
Shang, Xueyi& Li, Xibing& Morales-Esteban, A.& Dong, Longjun& Peng, Kang. K -Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China). Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1204738
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204738