J4 ›› 2012, Vol. 42 ›› Issue (4): 1214-1222.

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Integrate of Geological Interpretation Spatial Information of Mineral Resource Prediction Based on GIS

Ye Shui-sheng1,Qiao Jin-hai2,Ye Yu-xin3|4,Guo Li-jun5,Cai Hong-jun5   

  1. 1.Institute of Mineral Resources Prognosis of Comprehensive Information, Jilin University, Changchun130061, China;
    2.State Nuclear Electric Power Planning Design &|Research Institute|Beijing100094, China;
    3.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education|Jilin University, Changchun130012, China;
    4.National Engineering Research Center of Geophysics Exploration Instruments, |Jilin University, Changchun130061, China;
    5.Inner Mongolia Bureau of Geology and Mineral Exploration, Hohhot010020, China
  • Received:2011-12-05 Online:2012-07-26 Published:2012-07-26

Abstract:

According to our massive digital geological map and mineral map in geological standards-based database, geological information is integrated in space by GIS-based geological interpretation. It’s utilized to implement comprehensive information mineral forecast. In this paper, a geological interpretation system is applied to 1∶20 0000 mineralization prediction about Daxinganling, in the southern of Inner Mongolia. In this work, the spatial geological information extraction and integration process can be illuminated. The geological spatial information is shared by establishing geological dictionary. First, geological ore-forming space information base and gallery space are established through making spatial analysis of classification layers of the geological model in the mineralization dense area. Then, the geological prospecting model is established through making spatial analysis about geological model unit and ore-forming spatial information database and gallery space. At last, extraction and integration of the geospatial information of prediction model are completed through the second space integration of the geological model unit to the geological oreforming spatial information database and gallery space. The amount of new target areas which should be confirmed further is increased 5 times by using this approach to evaluate target areas of comprehensive information mineral forecast of a case of Ag mineral.

Key words: mineral resource prediction, geological interpretation, spatial integration of geological information, geological prospecting spatial information database, geographic information systems

CLC Number: 

  • P628.4
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