Research on the Location Prediction of Gold Deposit in Altay of Xinjiang With the Entropy-Weighted Method

Abstract

Abstract:

This paper combines entropy and gray correlation degrees to study the relationship between geological variables and
ore units to locate ore targets. The 87 key geological variables are obtained from geological, geochemical and geophysical data.
Based on the theories and methods of metallogenic prognosis by using synthetic information, the study area (in Altay, Xinjiang)
is divided to 16 gold deposit concentrated areas and 14 gold anomaly-concentrated areas. Then, this article introduces entropyweighted
method to deal with qualitative and quantitative variables, respectively, and then use the gray correlation to describe
the similarities between the deposit units. The results show that gravitational gradient, aeromagnetic, and catchment are effective
indicators to look for gold mines and unit number 6, 22, 18, 19 and so on contain a large gold deposit, respectively, which was
confirmed by other means. This shows that the method can be effectively applied to delineate and assess ore-finding targets.

Key words: Entropy-weight Method, Method of gray correlation degree, Location prediction, Gold deposit

CLC Number:

P618.51

ZHANG Ming-chao， SHEN Wei， CUI Jing， CHEN Hui， LIU Xiang-chong. Research on the Location Prediction of Gold Deposit in Altay of Xinjiang With the Entropy-Weighted Method[J]. J4, 2011, 17(4): 521-530.

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