作者: Xin Chen , Rongke Xu , Youye Zheng , Xiaojia Jiang , Wenyang Du
DOI: 10.1016/J.GEXPLO.2017.04.001
关键词: Geology 、 Log ratio 、 Geomorphology 、 Regolith 、 Singularity 、 Singularity analysis 、 Geochemistry 、 Multifractal system 、 Mineralization (geology)
摘要: Abstract Recognition of weak geochemical anomalies from background is an overlooked issue in the interpretation regional data used to define exploration targets areas covered by deserts, regolith, or vegetation. In this study, log-ratio transformation methods were account compositional character data. A robust factor analysis (CoDa-FA) was utilized identify ensembles elements related mineralization. Multifractal singularity and mean ± 2 standard deviation (mean ± 2STD) method Au mineralization-related North Qaidam Gobi Desert landscape area. The results show that CoDa-FA for centered logratio-transformed can accurately recognize assemblages Pb-Ag mineralization, representing orogenic mineralization hydrothermal-type respectively. delineated mean ± 2STD showed signals SE Shuangkoushan. However, mapping efficient enhancing outlining a low relative method. anomaly maps determined good ore-potentiality Shuangkoushan, many ore bodies have been found anomalous areas. would not only be useful guide verification potential metallogenic belt, but also raise awareness reanalyzing those