J4

• 基础地质·矿床·盆地 • 上一篇    下一篇

基于SIG的证据权法矿产资源评价及应用

揣媛媛1,肖克炎2,湛邵斌3,刘亚剑1   

  1. 1.吉林大学 综合信息矿产预测研究所,长春 130026;2.中国地质科学院 矿产资源研究所,北京 100037;3.吉林大学 地球探测科学与技术学院,长春〓130026
  • 收稿日期:2006-06-12 修回日期:1900-01-01 出版日期:2007-01-26 发布日期:2007-01-26
  • 通讯作者: 揣媛媛

Weight of Evidence Method Based on SIG and Its Application on Evaluation on Mineral Resources

CHUAI Yuan-yuan1,XIAO Ke-yan2,ZHAN Shao-bin3,LIU Ya-jian1   

  1. 1.The Institute of Mineral Resources Prognosis of Synthetic Information, Jilin University, Changchun 130026,China;2. Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037,China;3.College of GeoExploration of Science and Technology, Jilin University, Changchun 130026,China
  • Received:2006-06-12 Revised:1900-01-01 Online:2007-01-26 Published:2007-01-26
  • Contact: CHUAI Yuan-yuan

摘要: 阐述了基于SIG的证据权法矿产资源评价体系结构和方法,并以西南三江成矿带为示范区进行了铜矿资源预测评价。示范区分别设置一个主结点和三个省级结点,并在结点服务器上进行了相应的数据与服务的部署。评价结果表明,基于SIG的矿产资源评价很好地解决了空间信息资源共享与应用问题,提高了评价效率,是一种有实用价值的评价新方法。

关键词: SIG, 证据权法, 矿产资源评价

Abstract: The framework and the method of evaluation on mineral resources by weight of evidence based on SIG are introduced in detail. Meanwhile, its application on the evaluation of copper mineral resources in the Threeriver Metallogenic Belt, Southwest China is discussed as an example. The node is deployed on server in Beijing and three sub-nodes are deployed on the server in each province. Geological database and services are deployed on each server. It proves that the method on mineral resources based on SIG is a new effective one, which not only solves the problem in sharing data, but also improves efficiency of evaluation.

Key words: SIG, weight of evidence method, evaluation on mineral resources

中图分类号: 

  • P624.6
[1] 徐仕琪,冯京,田江涛,赵同阳. 西昆仑落石沟一带铅锌矿成矿特征及区域预测[J]. 吉林大学学报(地球科学版), 2013, 43(4): 1190-1199.
[2] 孟凡奇, 李广杰, 秦胜伍, 汪茜, 马建全. 基于证据权法的泥石流危险度区划[J]. J4, 2010, 40(6): 1380-1384.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!