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

Content Provider	Springer Nature Link
Author	Jianping, Chen Gongwen, Wang Changbo, Hou
Copyright Year	2006
Abstract	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.
Starting Page	285
Ending Page	294
Page Count	10
File Format	PDF
ISSN	15207439
Journal	Natural Resources Research
Volume Number	14
Issue Number	4
e-ISSN	15738981
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2006-05-24
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Sedimentology Math. Applications in Geosciences Hydrogeology Economic Geology
Content Type	Text
Resource Type	Article
Subject	Environmental Science

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