Quantitative Prediction and Evaluation of Mineral Resources Based on GIS: A Case Study in Sanjiang Region, Southwestern China

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• 作者：Chen Jianping ; Wang Gongwen and Hou Changbo
• 关键词：KEY WORDS ; Mineral resource ; prediction and evaluation ; MapGIS ; digital database ; weights ; of ; evidence modeling.
• 刊名：Natural Resources Research
• 出版年：2005
• 出版时间：December 2005
• 年：2005
• 卷：14
• 期：4
• 页码：285-294
• 全文大小：5,190 KB
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Mathematical Applications in Geosciences
  Economic Geology
  Sedimentology
  Hydrogeology
  
• 出版者：Springer Netherlands
• ISSN：1573-8981

文摘

Quantitative prediction and evaluation of mineral resources are one of the important topics of mathematical geology. On the basis of GIS technologies and weights of evidence modeling, MapGIS is integrated with GIS and mineral-resource prediction and evaluation. The final product is a predictor map of posterior probabilities of occurrence of the discrete event within a small unit cell. Predictor layers were created on a digital database that includes 1:200,000 scale geological, and geochemical, and geophysical maps, and remote-sensing images in study area. According to metallogenetic factors extractiont and weights of evidence modeling, there are four main metal ore belts in the study area: (1) the Batang belt; (2) the Lei Wuqi belt; (3) the Basu-Chayu belt; and (4) the Ganzi-Litang belt. The predictor map of posterior probabilities show that 29% of study area as zones with potential for porphyry copper, and 81% known mineral occurrences success rate is circled in the metallogenetic posterior probabilities map. The results demonstrate plausibility of weights-of-evidence modeling of mineral potential in large areas with small number of mineral prospects.