摘要
基于GIS技术,对云南个旧花岗岩凹陷带进行数字矿床空间信息成矿预测模型的研究。在了解个旧矿田地质的基础上,通过工作区信息统计单元的划分、预测区地质信息(包括地层、构造、岩浆岩、矿化蚀变以及物、化、遥异常等)变量的确定以及编码和赋值,采用特征分析法确定空间网格单元成矿异常有利度模型,从成矿预测单元中最终圈定了找矿优选靶区。结果表明了信息统计单元结合特征分析数学方法是可行的。
Using Geographic Information System （GIS）, the present authors quantitatively studied the model establishment of the space information related with metallogenic prognosis in Gejiu granite depression zone, Yunnan Province. On the basis of geology of this mining field, at first we divided the information statistics units. Then we determined the geological information variables, which consist of stratigraphic positions, structural features, magmatic bodies configurations, mineralization-alteration types, and geophysical-geochemical-remote sensing anomalies, along with coding and assignment. The method of signature analysis was adopted to ensure the mineralized anomalies favorability model of the space information grid units. Finally, the prospecting targets were delineated from the mineralization prediction units. The results clearly indicate the feasibility of the method combining the mineralization space information grid units and the mathematic signature analysis.
出处
《高校地质学报》
CAS
CSCD
北大核心
2008年第1期106-113,共8页
Geological Journal of China Universities
基金
国家科技支撑计划(2006BAB01B07)
973计划前期研究专项(2007CB416608)
关键词
个旧
数字矿床
成矿预测
信息统计
特征分析
Gejiu
digital mineral deposits
metallogenic prediction
information statistics
signature analysis
