The significance of quantitative prediction of mineral resources and uncertainty evaluation was analyzed. Based on their uncertainty characteristics, uncertainty measure theory was introduced into quantitative prediction of mineral resources and uncertainty evaluation in this paper, and a prediction and evaluation model was proposed. Based on practical geological conditions, seven factors that influence the mineralizing favorability degree were taken into account and uncertainty measure function was established based on the in-situ data. The uncertainty problems in quantitative prediction of mineral resources and uncertainty evaluation were solved by qualitative analysis and quantitative analysis, respectively. Information entropy theory was used to calculate the index weight of factors, credible degree recognition criteria were used to judge the mineralizing favorability degree, and the order was arranged. This model was employed to evaluate three ore belts in Hutouya mine field in Qinghai. The results show that uncertainty measure method is reasonable and can provide reference for quantitative prediction of mineral resources and uncertainty evaluation in the future.
HE Hujun
,
YANG Xingke
,
LIU Wei
,
LUO Yunzhi
,
FAN Yue
. Mineral Resources Predication and Evaluation Methods Based on Uncertainty Measure Theory[J]. Science & Technology Review, 2014
, 32(20)
: 49
-53
.
DOI: 10.3981/j.issn.1000-7857.2014.20.007
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