新疆西昆仑甜水海—羚羊滩地区铅锌矿遥感找矿模型构建及成矿预测

发布时间：2018-06-15 02:31

  本文选题：铅锌矿 + 主成分分析　； 参考：《金属矿山》2017年08期

【摘要】：喀喇昆仑山脉北侧的西昆仑甜水海—羚羊滩地区平均海拔约5 000 m,地质构造情况复杂,其中乔尔天山—岔路口断裂横穿整个西昆仑地区,是研究区最重要的导矿控矿构造。区内铅锌矿化发育,围岩蚀变类型主要为褐铁矿化、高岭石化、碳酸盐化。鉴于Landsat-8 OLI数据在成矿热液蚀变和岩性探测方面较Landsat ETM+数据更具有优势,故对研究区获取的Landsat-8 OLI数据进行主成分分析(Principal component analysis(PCI)),选取波段2、4、5、6和波段2、5、6、7组合分别提取铁染和羟基蚀变信息。通过综合分析研究区典型铅锌矿床——多宝山铅锌矿的遥感蚀变信息及其与成矿地质背景的关系,构建了研究区铅锌矿遥感找矿模型:(1)羟基、铁染蚀变呈明显的长条状展布,与主构造及次级构造吻合良好;(2)铁染蚀变沿断裂或其两侧的围岩分布,羟基蚀变则分布于铁染蚀变外围。在此基础上,利用类比方法圈定了2处成矿远景区,即I#远景区位于乔尔天山—岔路口断裂南侧,Ⅱ#远景区位于研究区西北侧,呈NE向展布。经野外验证及室内X荧光仪、ASD光谱仪测试分析,认为两处远景区铅锌矿化强度与区内已有的化探资料较吻合,为寻找铅锌矿床的有利区段。
[Abstract]:The northern side of the Karakoram Mountains is the area with an average elevation of about 5 000 m.The geological structure of the area is complicated. The fault of Joel Tianshan-fork crossing across the whole West Kunlun area is the most important ore-conducting and ore-controlling structure in the study area. The main alteration types of surrounding rock are limonite, kaolinization and carbonization. Given that Landsat-8 Oli data are superior to Landsat ETM data in hydrothermal alteration and lithology detection, Therefore, the principal component analysis (PCA) of Landsat-8 Oli data obtained from the study area was carried out. The information of iron stain and hydroxyl group alteration were extracted from the combination of 2 ~ (4) O ~ (5) O ~ (6) and 2 ~ (5) O _ (6) ~ (6) ~ (7) band, respectively. Based on the comprehensive analysis of the remote sensing alteration information of the typical lead-zinc deposit-Dobaoshan lead-zinc deposit in the study area and its relationship with the metallogenic geological background, a remote sensing prospecting model of the lead-zinc ore in the study area was constructed. The iron-stained alteration distributes along the fault or its surrounding rock, while the hydroxyl alteration distributes around the iron-stained alteration. On this basis, two metallogenic areas are delineated by analogy, I. e., I # located in the southern side of the Joel Tianshan-fork junction fault, and 鈪，

本文编号：2020171