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      KCI등재 SCOPUS SCIE

      Temporal and spatial characteristics of coal-mine microseism based on single-link cluster

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      https://www.riss.kr/link?id=A104624279

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      다국어 초록 (Multilingual Abstract)

      Single-link cluster is introduced into mine microseism monitoring from a seismology point of view. The changes in spatial correlation length of mine microseismic events at different spatial scales are analyzed, and the underlying mechanisms are explained. The results show that large-energy microseismic events often occur after the spatial correlation length drops to a low value when the spatial scale is large. The larger the energy of microseismic events is, the more obvious the law is. Large-energy microseismic events occur after the spatial correlation length exhibits the power-law growth phenomenon, when the spatial scale becomes small. The smaller the spatial scale is, the more obvious the law is. The reason for this property is that microseismic events exhibit the space aggregation phenomenon before a large-energy microseismic event occurs, resulting in decreases in spatial correlation length when the spatial scale is large. By contrast, when the spatial scale is small, the spatial correlation degree of regional microseismic sources is high. Small-energy microseismic events occur gradually with concentration in low-intensity regions, and a large number of small cracks are produced before a large microseismic event occurs. The microseismic source is dispersed again once the regional stress is released. The entire system achieves a critical state. There is small cracks coalescence at a particular moment, which triggers a large-energy microseismic event. Therefore, it exhibits the phenomenon of power-law growth of the correlation length before the occurrence of the large-energy microseismic event. Moreover, statistical analysis of the bond length and frequency of SLC is performed. The result is that three non-scale ranges are identified. The turning points of the first two nonscale ranges are 180 m and 240 m, respectively, while the turning points of the second and third non-scale ranges are both approximately 450 m. The difference between the first turning points is due to the artificial disturbance, while the second turning point is affected by the geological environment.
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      Single-link cluster is introduced into mine microseism monitoring from a seismology point of view. The changes in spatial correlation length of mine microseismic events at different spatial scales are analyzed, and the underlying mechanisms are explai...

      Single-link cluster is introduced into mine microseism monitoring from a seismology point of view. The changes in spatial correlation length of mine microseismic events at different spatial scales are analyzed, and the underlying mechanisms are explained. The results show that large-energy microseismic events often occur after the spatial correlation length drops to a low value when the spatial scale is large. The larger the energy of microseismic events is, the more obvious the law is. Large-energy microseismic events occur after the spatial correlation length exhibits the power-law growth phenomenon, when the spatial scale becomes small. The smaller the spatial scale is, the more obvious the law is. The reason for this property is that microseismic events exhibit the space aggregation phenomenon before a large-energy microseismic event occurs, resulting in decreases in spatial correlation length when the spatial scale is large. By contrast, when the spatial scale is small, the spatial correlation degree of regional microseismic sources is high. Small-energy microseismic events occur gradually with concentration in low-intensity regions, and a large number of small cracks are produced before a large microseismic event occurs. The microseismic source is dispersed again once the regional stress is released. The entire system achieves a critical state. There is small cracks coalescence at a particular moment, which triggers a large-energy microseismic event. Therefore, it exhibits the phenomenon of power-law growth of the correlation length before the occurrence of the large-energy microseismic event. Moreover, statistical analysis of the bond length and frequency of SLC is performed. The result is that three non-scale ranges are identified. The turning points of the first two nonscale ranges are 180 m and 240 m, respectively, while the turning points of the second and third non-scale ranges are both approximately 450 m. The difference between the first turning points is due to the artificial disturbance, while the second turning point is affected by the geological environment.

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      참고문헌 (Reference)

      1 Bruce, A., "The New Physics" Cambridge University Press 236-267, 1989

      2 Ma, Y.L., "Temporal and spatial statistical characteristics of earthquakes in China by Single-Link Cluster method" 43 : 175-182, 2000

      3 Rong, D. L., "Study on growing correlation length prior to the earthquakes occurred in Gansu Province and its nearby area" 26 : 509-515, 2004

      4 Wang, C. L., "Study on fractal characteristics of b value with microseismic activity in deep mining" 1 : 592-597, 2009

      5 Liu, Z., "Study on Single-Link Cluster Algorithm and Its Implementation" 14 : 57-65, 1997

      6 Xia, Y. X., "Study of rule of surrounding rock failure and stress distribution based on high precision microseism monitoring" 36 : 239-243, 2011

      7 Mogi, K., "Study of elastic shocks caused by the fracture of heterogeneous materials and its relations to earthquake phenomena" 40 : 125-173, 1962

      8 Zhang, M., "Study of disasters induced by key strata instability near stopping boundary in the process of repeated coal mining" 45 : 915-922, 2016

      9 Jiang, Y. D., "State of the art review on mechanism and prevention of coal bumps in China" 39 : 205-213, 2014

      10 Li, C. W., "Spectrum characteristics analysis of microseismic signals transmitting between coal bedding" 50 : 761-767, 2012

      1 Bruce, A., "The New Physics" Cambridge University Press 236-267, 1989

      2 Ma, Y.L., "Temporal and spatial statistical characteristics of earthquakes in China by Single-Link Cluster method" 43 : 175-182, 2000

      3 Rong, D. L., "Study on growing correlation length prior to the earthquakes occurred in Gansu Province and its nearby area" 26 : 509-515, 2004

      4 Wang, C. L., "Study on fractal characteristics of b value with microseismic activity in deep mining" 1 : 592-597, 2009

      5 Liu, Z., "Study on Single-Link Cluster Algorithm and Its Implementation" 14 : 57-65, 1997

      6 Xia, Y. X., "Study of rule of surrounding rock failure and stress distribution based on high precision microseism monitoring" 36 : 239-243, 2011

      7 Mogi, K., "Study of elastic shocks caused by the fracture of heterogeneous materials and its relations to earthquake phenomena" 40 : 125-173, 1962

      8 Zhang, M., "Study of disasters induced by key strata instability near stopping boundary in the process of repeated coal mining" 45 : 915-922, 2016

      9 Jiang, Y. D., "State of the art review on mechanism and prevention of coal bumps in China" 39 : 205-213, 2014

      10 Li, C. W., "Spectrum characteristics analysis of microseismic signals transmitting between coal bedding" 50 : 761-767, 2012

      11 Antoni, M.C., "Some dynamical characteristics of microseism time-series" 149 : 589-598, 2001

      12 Davis, S.D., "Single-link cluster analysis, synthetic catalogues and after-shock identification" 104 : 289-386, 1991

      13 Frohilch, C., "Single-link cluster analysis as a method to evaluate temporal and spatial properties of earthquake catalogues" 100 : 19-32, 1990

      14 Zhou, H. L., "Single-Link-Cluster Method to Distinguish the Pre-and After-shocks" 15 : 210-219, 1999

      15 Mendecki, A. J., "Seismic monitoring in mines" Chapman and Hall 262-, 1997

      16 Mcgarr, A., "Seismic moments and volume change" 81 : 1487-1494, 1976

      17 Zhou, H. L., "SLC Method and Earthquakes'Clustering Features in Time–Space in the Top Area of Kunlun-Altun-Arc" 13 : 197-206, 1997

      18 Yang, Z. G., "Research of mining based on microseismic monitoring technology in high-stress area" 28 : 3632-3638, 2009

      19 Fujii, Y., "Prediction of coal face rock bursts and microseismity in deep longwall coal mining" 34 : 85-96, 1997

      20 Press, F., "Pattern of Earthquake Release in the Southern California Region" 100 : 6421-6430, 1995

      21 Zöller, G., "Observation of growing correlation length as an indicator for critical point behavior prior to large earthquakes" 106 : 2167-2175, 2001

      22 Keilis-Borok, V., "Non–linear dynamics of the lithosphere and intermediate-term earthquake prediction" 338 : 247-260, 2001

      23 Lu, C. P., "Microseismic low-frequency precursor effect of bursting failure of coal and rock" 79 : 55-63, 2012

      24 Cai, W., "Microseism multidimensional information identification and spatio-temporal forecasting of rock burst: A case study of Yima Yuejin coal mine, Henan, China" 57 : 2687-2700, 2014

      25 Blake, W., "Microseism applications for mining – a practical guide" Bureau of Mines, U.S. Department of the Interior 206-, 1982

      26 Antoni, M. C., "Microseism activity and equilibrium fluctuations" 1 : 69-86, 2007

      27 Turcotte, D. L., "Micro and macroscopic model of rock fracture" 152 : 718-728, 2003

      28 Shearer, P. M., "Introduction to Seismology" Cambridge University Press 396-, 2009

      29 Rong, D.L., "Growing Phenomena of Seismic Spatial Correlation Length before Japan M9.0 Earthquake in 2011" 35 : 157-161, 2012

      30 Liu, C., "Fractal characterization for the mining crack evolution process of overlying strata based on microseismic monitoring technology" 26 : 295-299, 2016

      31 Liu, J. P., "Experimental study of temporal and spatial distribution characteristics of acoustic emission during rock fracture based on Single-Link Cluster method" 29 : 3488-3497, 2010

      32 Christopher, M., "Evaluating the risk of coal bursts in underground coal mines" 26 : 47-52, 2016

      33 Ge, M. C., "Efficient mine microseism monitoring" 64 : 44-56, 2005

      34 Kasahara, K., "Earthquake Mechanics" Cambridge University Press 248-, 1981

      35 Lei, X. L., "Detailed analysis of acoustic emission activity during catastrophic fracture of faults in rock" 26 : 247-258, 2004

      36 Tyupkin, Y.S., "Correlation length as an indicator of critical point behavior prior to a large earthquake" 230 : 85-96, 2005

      37 Vinoth S., "Applying real time seismic monitoring technology for slope stability assessment – An Indian opencast coal mine perspective" 24 : 75-80, 2014

      38 Sun, J., "Application of micro-seismic monitoring technology in mining engineering" 22 : 79-83, 2012

      39 Yang, C. X., "Application of a microseism monitoring system in deep mining" 14 : 6-8, 2007

      40 Rong, D.L., "Analysis of the growth phenomenon of seismic correlation length prior to Minxian-Zhangxian earthquake" 35 : 455-458, 2013

      41 Bowman, D. D., "An Observation Test of the Critical Earthquake Concept" 24 : 359-372, 1998

      42 Gibowicz, S.J., "An Introduction to Mining Seismology" Academic Press 399-, 1994

      43 Jiang, F. X., "A study on microseism monitoring of rock burst in coal mine" 49 : 1511-1516, 2006

      44 Li, T., "A review of mining-induced seismicity in China" 44 : 1149-1171, 2007

      45 Feng, J. J., "A coal shear fracture source model and its far-field seismic characteristics" 45 : 483-489, 2016

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2003-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2002-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2000-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.98 0.27 0.74
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.68 0.59 0.424 0.15
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