Citation: | MOU Nini, SUN Xiang, WAN Xiuquan. Geochemical anomaly characteristics and mineral potential mapping in Milashan area of Tibet[J]. Geological Bulletin of China, 2020, 39(8): 1182-1190. |
The analysis of geochemical anomalies derived from stream sediment geochemical data is a fundamental task in mineral prospecting.In this study, median+2 median absolute deviations(median+2MAD)and concentration-area(C-A)were applied to analyze geochemical anomaly delineation of Cu and Cu+Au+Ag association from factor analysis of stream sediment geochemical data in Milashan area of Tibet.The results show that the C-A fractal method is a favorable means for identifying the anomaly.Cu anomaly provides more information than Cu+Au+Ag associated anomaly.Furthermore, the S-A analysis was used to decompose the Cu element and distinguish the background from anomaly components, which provides a more accurate basis for delineating the anomalous area.Six anomalous areas have been classified into classes A(Qulong and Jiama), B(Dabu, Lakange and Chengba)and C(Puxiong and Jiabuna).Class A anomalous areas containing two largest porphyry copper deposits in the Gangdise belt are characterized by great anomalous intensity and largest anomalous area, and have great potential for periphery prospecting.Class B prospective areas contain three large and medium-sized copper deposits.Particularly, the Chengba anomalous area has similar anomalous intensity to Qulong and Jiama anomalous areas and thus has good prospecting potential.Copper deposits have not been discovered in Class C anomalous areas, but it deserves exploration work for identifying the mineral potential.
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Sketch geological map of Milashan area, Tibet
Spatial distribution of Cu anomalies in Milashan area
Histograms of Cu(A), Cu+Au+Ag(B), and Q-Q plots of Cu(C), Cu+Au+Ag(D)in Milashan area
Log-log plots showing the relationship between area and Cu(A)and Cu+Au+Ag(B)generated using the C-A fractal model
Spatial distributions of Cu anomaly based on C-A fractal model in Milashan area
Anomaly diagram of Cu+Au+Ag association based on C-A fractal model in Milashan area
Log-log plots showing the relationship between area and Cu, generated using the S-A fractal model
Background component of Cu determined by S-A fractal model in Milashan area
Spatial distributions of Cu anomaly and anomaly area determined by S-A fractal model in Milashan area