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Volumn 20, Issue 1, 2001, Pages 1521-1524

Microseismic monitoring of rock fracturing under aquifers in longwall coal mining

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EID: 84875381016     PISSN: 10523812     EISSN: 19494645     Source Type: Conference Proceeding    
DOI: 10.1190/1.1816397     Document Type: Conference Paper
Times cited : (7)

References (3)
  • 1
    • 85194264687 scopus 로고    scopus 로고
    • Seismic monitoring of ground caving processes associated with longwall mining of coal
    • 4th International symposium on rockbursts and seismicity in mines. Krakow, Poland, 11-14 August 1997
    • Hatherly, P., Luo, X., McKavanagh, B. and Dixon, R., 1997. Seismic monitoring of ground caving processes associated with longwall mining of coal. 4th International symposium on rockbursts and seismicity in mines. Krakow, Poland, 11-14 August 1997.
    • (1997)
    • Hatherly, P.1    Luo, X.2    McKavanagh, B.3    Dixon, R.4
  • 2
    • 84861746518 scopus 로고    scopus 로고
    • Microseismic monitoring of longwall caving processes at Gordonstone Mine, Australia
    • (ed. Y. Lin), World Scientific Publishing Co. Pty Ltd
    • Luo, X., Hatherly, P., McKavanagh B., 1998, Microseismic monitoring of longwall caving processes at Gordonstone Mine, Australia, in Advances in Rock Mechanics, (ed. Y. Lin), World Scientific Publishing Co. Pty Ltd, pp 67-79.
    • (1998) Advances in Rock Mechanics , pp. 67-79
    • Luo, X.1    Hatherly, P.2    McKavanagh, B.3
  • 3
    • 84955561003 scopus 로고    scopus 로고
    • Identification of two fracture zones in longwall coal mining using microseismic monitoring technique
    • Internal Report, Shandong Bureau of Coal Geology
    • Yu, K, Xi, J, Kong, F., Zhang, X., Zhang, X-B., Liu, G., Wang, S., Guan, Y., Zhou, K., 1999, Identification of two fracture zones in longwall coal mining using microseismic monitoring technique, Internal Report, Shandong Bureau of Coal Geology.
    • (1999)
    • Yu, K.1    Xi, J.2    Kong, F.3    Zhang, X.4    Zhang, X.-B.5    Liu, G.6    Wang, S.7    Guan, Y.8    Zhou, K.9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.