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Application of Meta-Analysis to Deep Prospecting Predictions:An Example from the Tongshan Copper Deposit, Tongling, Anhui Province

PENG Sheng-lin1, WANG Ying1,2, SHAO Yong-jun1, XIAN Cheng1,LAI Jian-qing1, WANG Xiong-jun1, ZHANG Jian-dong1   

  1. 1. School of Geosciences and Environmental Engineering, Central South University, Changsha 410083, China;2. Central South University of Forestry and Technology, Changsha 410004, China
  • Received:2009-12-20 Revised:2009-12-20 Online:2009-12-20 Published:2009-12-20

Abstract: A new concept of effectiveness was introduced in this paper to evaluate the prediction effect of a detection technology so as to acquire the optimization and integration of technologies for ore exploration. Meta-analysis, initially used in medical science, is an unconventional statistical method that makes comprehensive analysis and statistics on various results of researches on the same subject with specific constraints. In this paper, the principle and feasibility of the Meta-analysis was first studied and then, as a case study, applied in metallogenic predictions in Tongshan copper deposit by quantitative comparison on the effectiveness of prediction of 2-D inversion sections from three geophysical techniques, i.e. CSAMT, EH4 and TEM by Metaanalysis.It is shown that CSAMT and EH4 are much more effective than TEM, though there is no apparent difference in the prediction effectiveness between CSAMT and EH4.