Identification and mapping of geochemical patterns and their significance for regional metallogeny in the southern Sanjiang, China

作者: Lin Yang , Qingfei Wang , Huan Liu , Emmanuel John M. Carranza , Gongjian Li

DOI: 10.1016/J.OREGEOREV.2016.08.014

关键词: TectonicsGeochemistryLithologyMetallogenyGeologyBatholithSuture (geology)OphioliteFelsicMafic

摘要: Abstract The southern Sanjiang region, southwestern China, comprises various continental blocks, tectonic sutures and arcs. This complex structural area is a proper place for the recognition of geochemical patterns understanding regional metallogenesis. Considering each individual unit (i.e., western South China block, Ailaoshan suture, Simao Changning–Menglian Baoshan block Tengchong block) as statistical unit, this study identifies distribution elements, distinguishes elemental associations different geological backgrounds (controlled by lithology) diverse mineralizations, thereby delineates mineralized anomalies. To achieve goals, kriging interpolation, staged factor analysis local singularity technology were utilized after centered logratio (clr) transformation stream sediment data. spatial distributions metallogenic elements (Au, Ag, Cu, Pb, Zn Sn) show that not all areas with high concentrations contain ore deposits. It means formation deposits an independent anomalous event, necessarily related to original abundance elements. element obtained 28 are able reveal signatures units. For example, first, second third factors (Fs) in groups Ti–Co–V, Sb–Ag–As Th–U–Be (see text detailed associations), which represent Emeishan flood basalts, Ag–Pb mineralization felsic rocks, respectively. Similarly, Co–V–Cu, Be–U–Th Sb–Ag–Au F1, F2 F3 suture respectively ophiolite mafic rocks Au mineralization. from F1 F4 Th–U–Sn, V–Co–Cr, Cd–Ag–Pb Au–Sb, Linchang batholith, Ag–Pb–Zn mineralization, their scores can roughly distinguish anomalies caused mineralizations. further identify most Nevertheless, exception occurs where background association, Ti–Co–V–Cu–Ni–Cr–P–Mn–Nb–Zn (F1), obscures signature. Therefore, we substituted single association (F1) perform mapping, better result. was concluded combination analysis, setting effective potential analysis.

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