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成矿预测理论和方法

Theory and Methodology of Metal logenic Prognosis

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【作者】 朱裕生肖克炎宋国耀薛迎喜龙宝林

【Author】 Zhu Yusheng~(1)) Xiao Keyan~(1)) Song Guoyan~(1)) Xue Yingxi~(2)) Long Baolin~(2)) 1) Chinese Academy of Geological Sciences,Beijing,100037 2) China Geological Survey,Beijing,100083

【机构】 中国地质科学院中国地质调查局

【摘要】 当代成矿预测由预测评价的理论、评价准则、地理信息系统(GIS),评价决策系统和相应的数据信息系统构成。其理论包括矿床形成的定位理论、预测的相似类比理论和预测信息的"求同""求异"理论三方面,成矿预测的实施必需在GIS平台上、应用有效的评价决策系统(MRAS)和建立由地质、物探、化探、遥感各类数据组成的空间信息系统完成。成矿信息的提取、浓缩、优化、叠合和找矿信息的标定是当代成矿预测工作的重要组成部分,知识渊博和经验丰富的专家是实施预测评价的必要条件。

【Abstract】 The present assessment of mineral resource potentiality is based on resource assessment theory, assessment criteria, geographical information system (GIS), Mineral Resource Assessment System (MRAS) and corresponding data information system. The resource assessment theory consists of the theory of localization of deposits from facies differences between various geological objectives, the theory of analogy of prognosticated analogous deposits and the theory of seeking commonness and differences of ore-forming information. Criteria of delimitation of useful prospective areas of mineral resources include maximum ore—generating potentiality on the minimum area (i. e. minimum risk and maximum prospect effect), optimum assessment and comprehensive assessment on a reciprocal scale. -The assessment of mineral resources is put into practice by means of MRAS and on the basis of information system consisting of geological, geophysical, geochemical and remote sensing data and on GIS platform. The core of the present assessment of mineral resource potentiality is extraction, concentration, optimization and combination of ore —forming information, and demarcation of information on prospecting criteria. Erudite specialists rich in experiences are the guarantee of performance of the assessment of mineral resource potentiality, while complete and useful geological data are prerequisite to carry out the assessment of mineral resource potentiality.

  • 【文献出处】 地质论评 ,Geological Review , 编辑部邮箱 ,2000年S1期
  • 【分类号】P612
  • 【被引频次】28
  • 【下载频次】470
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