滇西潞西上芒岗卡林型金矿

上芒岗金矿赋存于二叠系沙子坡组碳酸岩和侏罗系勐戛组下段砂岩、灰岩中,明显受上芒岗断裂控制,与美国模式卡林型金矿极为相似,具有相同的物质来源和成因模式。上芒岗地区具有广阔的深部找矿前景。     

Environmental geochemistry of Zarshuran Au-As deposit, NW Iran

Zarshuran deposit is the most famous and important As-Au mine in Iran. However, there is no information on the impact of mining activity on the surrounding environment, especially on water systems. This paper attempts to document the concentration of arsenic and associated elements in waters and sediments resulting from the mining history of Zarshuran, a period covering hundreds of years. Water and sediment samples collected from Zarshuran Stream indicate high content of some potentially toxic elements, especially of As which ranges from 0.028 to 40 ng/l in water and 182 to 36,000 mg/kg in sediment samples. Mining activity, exposure of a large volume of mining wastes to weathering, and the anomalously high background of trace metals in the mining area are considered to be the main sources of heavy metal pollution.     

西藏自治区乃东县劣布铜矿综合地质特征

文章介绍区域地质背景、矿区地物化特征，对成矿时代、流体包裹体特征进行初步研究，并指出找矿远景，希望对矿区的矿产勘查具有借鉴和指导意义。     

小体积萃取-石墨炉原子吸收法测定高纯硝酸钡中纳克级重金属元素

本文研究了石墨炉原子吸收光谱法测定高纯硝酸钡中超痕量重金属元素的分析技术。提出在大量钡基体存在时,采用小体积萃取体系APDC-MIBK同时萃取纳克级的Fe、Cu、Co和Ni。该法具有灵敏度高、无干扰、操作方便和减少沾污等特点。方法检出限为:Fe 7.2ng/g、Cu 12.8ng/g、Co 4.4ng/g和Ni 6.7ng/g。应用于红外光纤原料硝酸钡、硝酸铝中痕量重金属的测定,效果良好。     

西藏曲水县达布斑岩铜(钼)矿床成岩成矿年代学研究

本文采用锆石LA-ICP-MS微区U-Pb测年技术,对冈底斯成矿带东段曲水县达布斑岩Cu(Mo)矿床北部达布矿区含矿斑岩体、南部显角囊含矿花岗闪长斑岩岩体进行了年代学研究,通过对3件岩体样品中单颗粒锆石的分析,达布主矿体花岗闪长斑岩样品206Pb/238U年龄加权平均值为16.5±0.05Ma(n=15,MSWD=3),达布主含矿体二长花岗斑岩样品年龄为16.1±0.13Ma(n=15,MSWD=1.03),南部显角囊矿体花岗闪长斑岩年龄为16.2±0.04Ma(n=13,MSWD=0.0064)。对达布矿床斑岩Cu(Mo)矿床主矿体中4件辉钼矿样品,显角囊矿体中6件辉钼矿样品,分别进行了Re-Os同位素测试,等时线年龄分别为14.6±0.50Ma(MSWD=0.35,主矿体)、14.8±0.23Ma(MSWD=1.3,显角囊)。结合前人研究以及本次测年结果认为:1)达布斑岩铜(钼)矿床岩体侵位的年龄应限定在16Ma左右,成矿时代为14Ma左右,成矿时间差小于0.86Ma,与区域上"成矿瞬时发生"的成矿规律是一致的;2)矿床产出于印度-亚洲大陆板块后碰撞伸展环境。     

广东省藤铁铁矿成矿地质特征

藤铁铁矿位于鱼鹿岩枝东接触带中段,该矿体为铁、铜、锡共(伴)生矿床.受断裂带、岩体侵入接触带、夕卡岩带和鱼鹿岩枝控制.据此总结出该区"三带一体"的成矿特征.     

内蒙古黄花滩铜镍矿区辉长岩LA-ICP-MS锆石U-Pb定年及地球化学特征

在乌拉特后旗—达茂旗—四子王旗一带的内蒙古中部地区分布着超基性-酸性连续岩浆系列,开展其岩体年代学、地球化学研究可为内蒙古中部地区与超基性-基性岩有关的铜镍矿成矿规律研究提供基础地质资料,还可以推断岩浆侵位时期的区域大地构造背景。本文以达茂旗黄花滩铜镍矿区出露的辉长岩为研究对象,采用LA-ICP-MS仪器对无裂隙、高透明度、阴极发光均匀、环带清晰的锆石进行U-Pb定年,获得岩体加权平均年龄为262.4±1.1 Ma,并利用XRF和ICP-MS进行岩石地球化学分析显示黄花滩辉长岩具有后碰撞拉伸环境下的岩浆特征。综合前人相关研究认为,内蒙古中部地区于中二叠世晚期(255~275 Ma)已经进入后碰撞构造阶段,而古亚洲洋在该区域的闭合应发生在晚二叠世前(~285 Ma),此结论丰富了古亚洲洋闭合时间上限及中晚二叠世期间内蒙古中部地区构造背景方面的证据。     

Data analysis of a revisited exploration geochemical dataset of quartz porphyrites from SW Jordan using GIS techniques

The spatial distribution of Cu and its pathfinder elements in quartz porphyrites along Wadi Araba was studied in order to gain an insight about the geologic framework of Cu mineralization in the area. A geochemical exploration data set of 242 samples was revisited. Multivariate statistical and geostatistical analysis were performed on the data set. The objectives of the study were to define Cu relationships with its possible pathfinder elements and to figure out whether geostatistical treatment of exploration data would help telescoping already existing Cu mineralization in Wadi Araba, SW Jordan. Factor analysis and hierarchical cluster analysis were performed on the data set. The results of which indicate that seven elements, namely, Ba, Cr, Mn, Ni, Sc, Sr and V can be considered as pathfinder elements for Cu. Significant correlations do exist between Cu and these elements. The encountered experimental semivariograms of the defined pathfinders were fit to exponential models with varying nugget effects with the exception of Mn which was fit to the spherical model. Ordinary kriging was found to be most appropriate to generate geochemical exploration maps. The applied methods succeeded in deriving valuable information and visualizing the already existing Cu mineralization in Wadi Abu Khusheiba area.     

卷积神经网络及其在矿床找矿预测中的应用——以安徽省兆吉口铅锌矿床为例

大数据人工智能地质学刚刚起步,基于大数据智能算法的地质研究是非常有意义的探索性实验。利用大数据和机器学习解决矿产预测问题,有助于人们克服不能全面考虑地质变量的困难及评估当前模型在已有数据中的可靠性。元素地表分布特征量主要受原岩成分、成矿作用影响和地表过程的影响,它们携带某些指示矿体就位的信息,即矿体在地下空间就位时在地表的响应,且未在地表过程中消失。以往的地球化学勘查工作仅仅识别异常,但未能发现矿体在地表响应的成矿特征量。本文以安徽省兆吉口铅锌矿床为例,通过机器学习,利用卷积神经网络算法,不断挖掘元素Pb分布特征与矿体地下就位空间的耦合相关性。经过1000次训练后,可以得到准确率0. 93,损失率0. 28的卷积神经网络模型。这种神经网络模型就是矿体在地下就位时元素在地表分布的响应,可以用来进行矿产资源预测。应用该模型对未知区进行预测,结果显示第53号区域具有很大概率存在尚未发现的矿体。     

福建德化县九户林陶瓷土(瓷石)成矿地质条件及找矿方向

九户林陶瓷土(瓷石)矿床为碱长花岗岩脉型矿床,矿体赋存在晚白垩世碱长花岗岩体中,严格受张性断裂构造控制,矿体两侧具钾长石化带-纳长石化带-云英岩化带等蚀变分带,矿体与岩体、断裂构造组成了三位一体的成矿条件,属岩浆期后结晶分异作用形成的热液型矿床,成矿条件独特,晚白垩世碱长花岗岩(κργK2)岩体中,是该区瓷土(瓷石)找...