Edima Yana Roland William, Bidjo Emvoutou Gery Christian, Okomo Atouba Lise Carole, Ondoua Oyono Joseph Sadrac, Ipan Antoinette Solange, Sep Nlomngan Jean Paul, Nkouandou Faarouk Oumarou
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R-mode analysis produced a five-factor model behind multi-elements associations which account for 93.40% of the total variance in the data with the following metals associations: Sc-Mo-V-In-Ga-Cu-Cr, Ba-Sr-Ag-Cr-Cu-Co-Be-Ni-Y-Zn-V, Ga-Hf-Zr, Sn-Au, As-Cd. Sn-Au association indicates that Au mineralization is link to Sn mineralization. As-Cd, Cu Ga, In, Mo suggested that the paragenesis represent others sulphidation events that is barren with respect to Au. The spatial distribution of Sn-Au and As-Cd factors show that these factors are mores express in the centre part of the study area; they can be link to granitic rocks, defining a primary gold target. 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引用次数: 2
摘要
喀麦隆北部Nyambaka地区的采矿勘探仍处于侦察阶段。本研究采集了10个活动水系沉积物样品进行地球化学测量。采用电感耦合等离子体/质谱(ICP/MS)对水系沉积物进行分析,将数据集转换成标准格式并建立excel数据库,利用IBM SPSS statistics 21对33种化学元素进行统计处理,以突出水系沉积物地球化学、区域岩性、地质过程与最终原生成矿作用之间的关系。采用多元统计方法对数据进行分析。r模式分析产生了多元素关联的五因素模型,该模型占数据总方差的93.40%,其中以下金属关联为Sc-Mo-V-In-Ga-Cu-Cr, Ba-Sr-Ag-Cr-Cu-Co-Be-Ni-Y-Zn-V, Ga-Hf-Zr, Sn-Au, As-Cd。锡金结合表明金成矿与锡成矿有关。As-Cd, Cu - Ga, In, Mo表明共生代表了其他硫化事件,相对于Au来说是贫瘠的。Sn-Au和As-Cd因子的空间分布表明,这些因子在研究区的中心部分更为明显;它们可以与花岗岩联系起来,确定一个主要的黄金目标。我必须在该地区进行详细的采矿调查,以突出主要的矿化。
Stream Sediments Geochemistry of the Nyambaka Drainage System Northern Cameroon (Central Africa): A Target for Mining Exploration
Mining exploration in the Nyambaka area Northern Cameroon still at reconnaissance stage. In this study, ten active stream sediments samples were collected for geochemical survey. These stream sediments were analyzed by inductively coupled Plasma/ Mass Spectometry (ICP/MS), the data set obtained was transformed into a standard formation an excel database, and was subject to statistical treatment using IBM SPSS statistics 21 for 33 chemical elements to highlight the relationship between the stream sediments geochemistry, the region lithology, the geological processes and eventual primary mineralization. The data were analyzed using multivariate statistics. R-mode analysis produced a five-factor model behind multi-elements associations which account for 93.40% of the total variance in the data with the following metals associations: Sc-Mo-V-In-Ga-Cu-Cr, Ba-Sr-Ag-Cr-Cu-Co-Be-Ni-Y-Zn-V, Ga-Hf-Zr, Sn-Au, As-Cd. Sn-Au association indicates that Au mineralization is link to Sn mineralization. As-Cd, Cu Ga, In, Mo suggested that the paragenesis represent others sulphidation events that is barren with respect to Au. The spatial distribution of Sn-Au and As-Cd factors show that these factors are mores express in the centre part of the study area; they can be link to granitic rocks, defining a primary gold target. A detail mining investigation have to me carry out in that area to highlight the primary mineralizations.