Earth Science Frontiers ›› 2009, Vol. 16 ›› Issue (4): 326-334.

• Article • Previous Articles     Next Articles

Application of prognostication from comprehensive information based on GIS to ores prospecting in crisis mines—A case from Yinan gold mine.

  

  1. 1Institue of Resources and Environment, Henan Polytechnic University, Jiaozuo 454000,  China
    2School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, China
    3College of the Earth Sciences, Chengdu University of Technology, Chengdu 610059,  China

  • Online:2009-08-01 Published:2009-08-01

Abstract:

In the 21st century, with the fast development of industry, there is much need for the mineral resources; however, a few mines face serious resource crisis. Looking for ore in the outside and in the depth of the mine is a basic and main way that solves the crisis mine problems. Additionally, with the development of geosciences and the continuing progress of mineral exploration, mass geoscience data have been accumulated,  and the mineral exploration has entered a new era that is marked by the heavy dependence of ore finding on comprehensive information.  In this article, under the guidance of metallogenic forecasting theories such as the Analogy Comparison and the Anomalycaused Mineralization, the authors utilized GIS technology, applied analytic hierarchy process (AHP) method, through building, quantifying and operating in fuzzy logic on the prospecting model of synthetic information, acquired and interpreted the target area in the Yinan gold mine, and discussed the method and process in multiinformation metallogenic prediction based on GIS. The engineering testing and verification results indicated that the prognostication from comprehensive information based on GIS greatly improved the efficiency of metallogenic information extraction and integration. This method provides a kind of effective method and means for the prognostication for periphery and deep sites of resources crisis mine, and also promotes sustainable development of mine.

Key words:

Key words: geographic information system (GIS); metallogenic prediction; crisis mines; prognosis of synthetic information

CLC Number: