Earth Science Frontiers ›› 2012, Vol. 19 ›› Issue (2): 256-266.

• Article • Previous Articles    

ar methods concerning metallogenic element association in Donggapu mining area, Tibet for seeking geochemical anomaly.

 LIU  Bing-Li, GUO  Ke, WANG  Wei, AO  Dong, WU  Ju   

  1. 1. College of Geophysics, Chengdu University of Technology，Chengdu 610059, China 2. Sichuan Province Key Laboratory of Mathematics Geology, Chengdu 610059, China 3. College of Mathematics and Information Science, Neijiang Normal University, Neijiang 641112,China
  • Received:2011-07-25 Revised:2012-01-13 Online:2012-03-25 Published:2012-03-25

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Abstract:

 Complicated  geological processes and controlling factors always make the distribution of geochemical elements having nonlinear characteristics. Traditional linear model methods are limited due to the character of nonlinear element association. In this paper, we adopted aiNet to preprocess geochemical data in order to study the geochemical metallogenic  element association. Fractal contentarea method was used to determine the anomaly threshold of elements. Fractal contentgradient method was used to determine the zone of element concentration.  Thus a series of nonlinear metallogenic element association method system to seek out geochemical anomaly has been formed.   We applied this nonlinear method for anomaly seeking of geochemical metallogenic element association  to process 1∶10000 soil geochemical survey data from Donggapu mining area of Tibet and had achieved good results.

Key words: BSS, ICA, metallogenic , element association

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