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https://opaj.napstic.cn/periodicalArticle/downloadReview/0120171202758064
位于西藏改则县的多龙矿集区是班公湖—怒江结合带最重要的斑岩型铜-金产地,具有较大的找矿潜力.本文利用MML-EM算法(Minimum Message Length-Expectation Maximization Algorithm)和ILR变换(Isometric Log-Ratio Transformation)为基础的主成分分析定量研究多龙矿集区水系沉积物化探数据的统计分布规律.混合分布筛分结果表明,Cu、Pb、Zn、Cr、Ni、Mn、Ag、Sn、W、Mo、As、Sb、Bi、Hg和Au的元素含量都服从包含两个对数正态分布的混合分布.大部分元素的高均值子分布反映了该地区多期次岩浆或热液活动.通过作ILR变换(Isometric Log-Ratio Transformation),消除了多龙地区化探数据的闭合效应,第一主成分的元素组合指示该地区的铜-金成矿潜力.多龙地区大部分铜-金矿床(点)和地表蚀变落在第一主成分得分较高的区域.根据第一主成分的得分,本文圈定了若干个成矿潜力较大的靶区.
Geochemical data are typical compositional data and their closure effect exists in the rock major elements as well as in all trace elements and their arbitrary subsets. However, the closure effect is often ignored in many cases. Ten porphyry and epithermal Cu-Au deposits were recently found in Duolong mineral district, northwest Tibet, China. There are still great prospecting potential of copper resources in Duolong. The geochemical data of the stream sediment in Duolong were analyzed using Minimum Message Length-Expectation Maximization Algorithm ( MML-EM) and Isometric Logratio Transformation ( ILR) based on principal component analysis. It is found that all the fifteen elements data contain two log-normal populations. The high-average population of most elements reflects the multiple magmatic activities or hydrothermal processes in Duolong. The closure effect was overcome after ILR transformation and the element associations in the first principal component were interpreted to be indicators for the Cu-Au mineralization potential in Duolong. The areas with high scores of the first component are consistent with most of the found Cu-Au deposits and the alteration zones exposed at surface. Four zones with high scores are suggested for further investigation on their mineral potential.
刘向冲;王文磊;裴英茹
中国地质科学院地质力学研究所, 北京100081中国地质科学院地质力学研究所动力成岩成矿实验室, 北京100081中国地质科学院地质力学研究所, 北京100081
天文与地球科学
多龙化探成分数据主成分分析混合分布
Duolonggeochemical prospectingcompositional dataprincipal component analysismixed distribution
《地质力学学报》 2017 (5)
石英脉型黑钨矿床热液运移模拟与黑钨矿沉淀机制
695-706,12
中国地质调查局项目(DD20179142,DD20160026)中国地质科学院基本科研业务费(DZLXJK201603)国家自然科学基金(41602088,41402295)国家自然科学国家重点项目(41430320)国土资源部公益性行业科研专项(201511017)
https://opaj.napstic.cn/periodicalArticle/downloadReview/0120171202758064
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