摘要
因综合信息成矿预测涉及的控矿因子较多,各度量指标间具有一定的层次性,有些定性指标还具有模糊性特征,高精度和定量化一直是制约其发展的难题。为了实现对研究程度较低的新矿区的成矿预测,并解决上述难题,本文试图将专家的主观判断与精确的数学运算巧妙地融合,将复杂问题及定性指标定量化,使评价过程和评判结果更具客观性,建立一种层次分析-多级模糊评价的成矿预测模型。以贵州大厂锑(金)矿田普晴矿区为例,选取地质、化探和遥感多元致矿信息,基于GIS平台,建立了层次分析-多级模糊评判的综合信息成矿预测模型,最终圈定出锑(金)矿远景区18个,其中Ⅰ、Ⅱ和III级远景区分别有4个、5个和9个。根据勘查验证,预测结果较为客观有效。
The metallogenie prediction based on comprehensive information involves many factors which have the features of hierarchy, and some qualitative factors have fuzzy features. So the high precision and quantification are always difficult problems restricting its development. In order to realize the metallogenic prediction in new mine fields which have been studied to a low degree, and resolve the above mentioned difficulties, this work tries to build the AHP model and multiple-grade fuzzy evaluation model for metallogenic prediction. These models are the synthetic model which combines the expert' s subjective ideas with exact math calculation, making complicated problems and qualitative factors quantified, and the evaluation process and results more exact. Taking the Puqing Antimony-gold mine area of Dachang ore field in GuiZhou province for example,and geology,this work uses data of geology,geochemical exploration and remote sensing to make prediction on the platform of GIS ,the AHP moldel and multiple-grade fuzzy evaluation model. Finally, 18 prospecting areas of antimony-gold are determined, including four I grade, five II grade antimony and and nine III grade areas. The exploration examination shows that this prediction method is fairly effective and can achieve rather accurate forecasting results.
出处
《地质与勘探》
CAS
CSCD
北大核心
2010年第4期741-750,共10页
Geology and Exploration
基金
国家财政部项目(编号:295050028-6)
国家自然科学基金项目(编号:40772067)资助
关键词
层次分析-模糊综合评判法
综合信息成矿预测
普晴锑(金)矿区
贵州
AHP model, more grade fuzzy evaluation (MGFE) model, comprehensive information metallogenic prediction, Puqing antimony-gold ore field, Guizhou province