地球化学—判定玄武质岩石古构造环境的指示器

采自板块构造环境已知的现代玄武质岩石的地球化学特征,包括同位素特征,为判定古代类似岩石形成的构造环境提供了基本的佐证。这些应用通常包括下列一种或多种技术:a.利用几种特征元素的绝对丰度或比值进行定性比较;b.经验式地采用二元和三元构造辨别图解,这些辨别图解以相对于活动的相容元素(如Cr、Ni)和高场强的不相容元素(Ti、zr、P、Nb、Ta、Y)尤其是不相容元素的比值为依据;c.稀土模式;d.利用由平均     

关于岩石微量元素构造环境判别图解使用的有关问题

针对目前应用愈来愈广泛的不同岩石,特别是岩浆岩的微量元素构造环境判别图解使用过程中存在的问题,从这些判别图解建立的原理,介绍了微量元素构造环境判别图解的使用原则。强调指出所采集的样品必须新鲜(无蚀变或极弱蚀变)、非堆晶的岩石;选择的判别图解必须与判别的岩石类型相一致,即对花岗岩类要用花岗岩的判别图解,不能用玄武岩的判别图解;对特殊类型岩石要选择专门用于该类型岩石的判别图解,如碱性花岗岩,钾质火成岩;要应用多种图解综合判断;不能用单个样品,而应作多个样品分析;要注意所选择判别图解的特别说明等。此外,一些构造环境判别图解还能给出岩石的成岩过程和源区。     

中国东部中生代钾质火成岩研究中的几个问题

本文探讨当前中国东部中生代钾质火成岩研究中存在的几个问题，即：“C型埃达克岩”的成因、无负Eu异常粗面岩—正长岩的成因、火成岩组合的K60值推算造山带地壳厚度的可信度，和玄武岩构造环境判别图解对中国东部中生代钾质基性岩的适用性。本文认为：①中国东部中生代“C型埃达克岩”有多种成岩过程，并非仅仅源于下地壳物质的部分熔融。②加厚下地壳部分熔融不能形成无负Eu异常的粗面岩—正长岩，同时“C型埃达克岩”与玄武质岩石高压条件下部分熔融产物在钾含量方面具有显著的差别。③火成岩组合的K60值不能用于估算中国东部中生代造山带地壳厚度。④一些常用的玄武岩构造环境地球化学判别图解并不适用于中国东部中生代钾质基性岩。     

岩石地球化学图解辅助分析软件的关键问题及解决方法

岩石地球化学图解是目前岩石地球化学研究工作中常用的有效手段,其对岩石分类、岩石和矿床的成因判别、构造环境判别和地质演化历史等方面的研究有重要的意义。通过对目前国内外常用的岩石地球化学图解辅助分析软件的分析,发现此类软件亟待解决的关键问题,即收录图解的种类和数量有限且不易扩展、使用过程自动化程度不高和软件独立性不强等。在收集整理了岩石地球化学领域8个大类、232幅图解的基础上,提出采用后缀表达式实现投点过程自动化和使用XML定义、扩展图解,按照岩石地球化学领域专家的工作流程,设计实现岩石地球化学图解成图、投点和计算软件以及CIPW等岩石地球化学常用计算方法。     

扬子地台西缘盐边群玄武质岩石地球化学特征及SHRIMP锆石U-Pb年龄

选择盐边群底部荒田组玄武质岩石(原划为蛇绿岩),通过岩石化学和微量元素地球化学研究,认为盐边群玄武质岩石可能形成于弧后盆地环境;通过SHRIMP锆石U-Pb年代学研究,获得玄武质岩石岩浆结晶年龄为782±53Ma,其形成时代为新元古代。同时获得其中继承性变质锆石年龄为1837±14Ma。变质锆石年龄可能代表扬子地台西缘变质基底年龄,证明扬子地台西缘可能存在古元古代变质基底。     

滇西北金沙江结合带各磨茸中酸性岩体多元地球化学示踪

应用常量元素、微量元素对岩浆岩进行构造环境、成因及岩源示踪时 ,首先必须在宏观区域地质、地球化学调查基础上 ,结合当时所形成的各类地质体岩石类型组合来恢复 ,它是宏观构造环境判别的基础 .其次 ,由于构造环境时空复杂性 ,需采用“两结合”的研究方法 ,一是多元地球化学信息示踪 ;二是不同岩类的时空配套 .第三 ,在选择判别图解时 ,需弄清前人图解的应用前提、适用范围和条件 ,以正确投点 .在此思想指导下 ,侧重对滇西北金沙江结合带各磨茸中酸性岩体进行了常量、微量元素的多元地球化学示踪 ,获得了较好的效果     

湘东南玄武质岩石地球化学特征及构造环境

湖南东南部是我国大规模钨，锡，锑及铅锌，稀有，稀土元素矿床集中区，其控矿构造环境倍受人们关注。幔源暗色岩系是深构造环境的产物，其地球化学特征是了解构造环境的有效途径。湘东南玄武质岩石包括碱性玄武岩和拉斑玄武岩两个系列，以碱性玄武岩系列为主。玄武质岩石稀土元素总量较高，无负铕异常，为轻稀土富集的右倾型。稀土元素反映岩浆形成主要受部分熔融作用控制。岩石形成于大陆拉张构造环境。微量元素具有明显OIB型分布特征，地壳混染程度很低，具有富集地幔特征。岩石地球化学，同位素地球化学和地球物理研究表明，软流圈地幔上涌并交代岩石圈地幔，形成以宁远－道县为中心的热地幔柱构造。该热幔柱构造控制该区的成岩，成矿作用。     

大洋玄武质岩石元素间的线性关系及其应用

批式熔融是大洋玄武质岩石形成的主要机制之一。本文建立了批式熔融作用中元素间的线性关系模型,并应用于北秦岭宽坪群变玄武质岩石化学分析资料的研究,对变异图解、相关矩阵、源区成分计算和估计等问题作了讨论。给出了一些具体应用的方法。     

内蒙古中部凉城地区紫苏斜长麻粒岩锆石U-Pb年龄及地质意义

对内蒙古中部凉城地区的紫苏(二辉)斜长麻粒岩进行了同位素地质年代学、岩石学和岩石地球化学研究,探讨了其形成时代和构造背景。利用LA-ICP-MS锆石U-Pb法测得紫苏斜长麻粒岩岩体的年龄为(1935±9)Ma,属古元古代;研究表明该岩体形成于板内构造环境,在19亿年左右,研究区有地幔上涌并伴随玄武质岩浆的底侵作用,底侵玄武质岩浆作为岩体在下地壳就位,并发生麻粒岩相变质作用。     

湘西南早震旦世海相火山岩及其成因意义

从海相火山岩的岩石学、地球化学研究着手,综合早震旦世早期地壳的物质组成、构造演化及其地球物理特征,对湘西南早震旦世海相火山岩及其成因意义进行了探讨。1.海相火山岩的地层层序:本区海相火山岩常产于江口组杂砂岩、板岩、条带状铁质岩。含锰白云岩,燧石岩等正常海相沉积岩之中,以玄武质角砾岩和玄武质熔岩为主,岩石颜色呈暗绿、翠绿色,表明是在水下还原环境下生成。常见辉绿岩是岩墙或岩床侵入。围     

蛇绿岩生成构造环境的Ba-Th-Nb-La判别图

Pearce的Ti-Zr-Y图不能很好区分洋脊和岛弧玄武岩,Ti对岩浆分离结晶作用很敏感,因此用这个图判别蛇绿岩生成构造环境效果不好,本文利用分配系数相近的Ba,Th,Nb,La四个非常不相容元素的(Ba/Nb)-Ba,(Nb/Th)-Nb,(La/Nb)-La和(Ba/Nb)-(Th/Nb)图解很好区分了洋脊、岛弧、洋岛玄武岩。弧后盆玄武岩同时具有洋脊和岛弧玄武岩的特征。这些元素在海水蚀变中较稳定,它们的比值在分离结晶过程中保持不变,因此这些图解有利于判别蛇绿岩(包括熔岩和均质辉长岩)生成的构造环境。     

Tectonomagmatic origin of Precambrian rocks of Mexico and Argentina inferred from multi-dimensional discriminant-function based discrimination diagrams

Several new multi-dimensional tectonomagmatic discrimination diagrams employing log-ratio variables of chemical elements and probability based procedure have been developed during the last 10 years for basic-ultrabasic, intermediate and acid igneous rocks. There are numerous studies on extensive evaluations of these newly developed diagrams which have indicated their successful application to know the original tectonic setting of younger and older as well as sea-water and hydrothermally altered volcanic rocks. In the present study, these diagrams were applied to Precambrian rocks of Mexico (southern and north-eastern) and Argentina. The study indicated the original tectonic setting of Precambrian rocks from the Oaxaca Complex of southern Mexico as follows: (1) dominant rift (within-plate) setting for rocks of 1117–988 Ma age; (2) dominant rift and less-dominant arc setting for rocks of 1157–1130 Ma age; and (3) a combined tectonic setting of collision and rift for Etla Granitoid Pluton (917 Ma age). The diagrams have indicated the original tectonic setting of the Precambrian rocks from the north-eastern Mexico as: (1) a dominant arc tectonic setting for the rocks of 988 Ma age; and (2) an arc and collision setting for the rocks of 1200–1157 Ma age. Similarly, the diagrams have indicated the dominant original tectonic setting for the Precambrian rocks from Argentina as: (1) with-in plate (continental rift-ocean island) and continental rift (CR) setting for the rocks of 800 Ma and 845 Ma age, respectively; and (2) an arc setting for the rocks of 1174–1169 Ma and of 1212–1188 Ma age. The inferred tectonic setting for these Precambrian rocks are, in general, in accordance to the tectonic setting reported in the literature, though there are some inconsistence inference of tectonic settings by some of the diagrams. The present study confirms the importance of these newly developed discriminant-function based diagrams in inferring the original tectonic setting of Precambrian rocks.     

Evaluation of two multidimensional discrimination diagrams from beach and deep-sea sediments from the Gulf of Mexico and their application to Precambrian clastic sedimentary rocks

Two discriminant-function-based multidimensional major-element diagrams for the tectonic discrimination of siliciclastic sediments were recently published from a coherent statistical methodology of log_e-ratio transformation and linear discriminant analysis. These diagrams were constructed based on worldwide examples of Neogene–Quaternary siliciclastic sediments from known tectonic settings. In this work, these two tectonic discrimination diagrams were first successfully tested from Holocene (<0.0117–0 Ma) beach and deep-sea sediments from the Gulf of Mexico. These diagrams were used to decipher tectonic settings of 11 case studies of the Precambrian clastic sedimentary rocks (~512–2800 Ma) from Argentina, USA, Ghana, Spain, Norway, India, China, and Australia. The test and application results obtained from these discrimination diagrams were generally consistent with the geology of the Precambrian source areas. Therefore, the two multidimensional diagrams can be considered as a useful tool for successfully discriminating the tectonic setting of older sedimentary basins, which may consist of one or more tectonic assemblages. Comparison of results of this study with the previously published tectonic discrimination diagrams is illustrated and the probable reasons for some inconsistent inferences were also discussed.     

Statistical evaluation of tectonomagmatic discrimination diagrams for granitic rocks and proposal of new discriminant-function-based multi-dimensional diagrams for acid rocks

The four tectonic discrimination diagrams of Pearce et al. [Journal of Petrology, v. 25, p. 956–983] for granitic rocks were first evaluated using the literature cited by these authors as well as from our new database. The first diagram (Y?Nb) cannot discriminate volcanic-arc and collision settings. Both Y?Nb and Yb?Ta diagrams have an overlapping field for within-plate and ocean-ridge granitoids. The remaining two diagrams (Y?+?Nb?Rb and Yb?+?Ta?Rb) use a mobile element (Rb) in their y-axis. Although these diagrams successfully discriminate volcanic-arc and within-plate granites, they perform less well for collision tectonics. Besides, felsic or acid rocks are scarce in ocean-ridge settings, which limits the usefulness of these diagrams for this geological environment. Therefore, using an extensive database, we proposed a set of five new discriminant-function-based multi-dimensional diagrams for acid magmas from four tectonic settings (island arc, continental arc, continental rift, and collision). The very similar tectonic settings of island and continental arcs are discriminated for the first time. These diagrams are based on correct statistical treatment of compositional data, because they use natural logarithm transformation of major-element ratios and linear discriminant analysis (LDA). The use of discordant outlier-free samples prior to LDA improved the success rates by about 3–5%. Success rates of these diagrams as inferred from a testing set were between 76% and 88% for island arc, 60% and 92% for continental arc, and 72% and 84% for both continental rift and collision settings. Finally, application of these new diagrams to case studies not compiled in our initial database used for constructing these diagrams provided the following results: a collision setting for the Himalayas at about 30 Ma; an island arc setting for Quaternary acid rocks from geothermal boreholes in El Salvador; an island- or continental-arc setting for northern Italy at 35–52 Ma; a continental-arc setting for the Italy–Austria border at about 30 Ma; either a rift or a collision setting for northern Nigeria at about 164 Ma; a collision setting for central Nigeria at about 144 Ma and for the Cretaceous Masirah ophiolites of Oman; and an island arc setting for the Cretaceous Semail ophiolites of Oman. In spite of the relative mobility of major elements, these applications suggest utility of the new discrimination diagrams for all four tectonic settings.     

基于GEOROC数据库的全球辉长岩大数据的大地构造环境智能判别研究

辉长岩是化学成分与玄武岩类似的侵入岩,前人认为它的形成过程太复杂,对应的岩浆可能经过了分离结晶作用、混染作用等,不能用Pearce判别图来判断岩浆岩形成的构造环境。本文利用GEOROC数据库的资料对辉长岩进行大数据挖掘。首先根据前人成果,将GEOROC数据库的辉长岩形成的大地构造环境分为大陆玄武岩环境、汇聚边界环境、板内火山岩环境和大洋岛弧玄武岩环境等4类;然后在数据清洗基础上,利用Python语言,依托sklearn库,实现支持向量机、K近邻和随机森林等3种机器学习算法,获得3种对应的分类器结果输出。对辉长岩的构造环境进行智能判别结果显示,随机森林方法效果最好,判断准确率可达97%,利用辉长岩的地球化学大数据来判断岩浆岩的构造环境是完全可行的。     

全球新生代安山岩构造环境有关问题探讨

20世纪70～80年代,以Pearce为代表的一批科学家先后提出了玄武岩和花岗岩的构造环境判别图,将构造环境与岩石地球化学特征有机地结合起来,为岩浆岩大地构造环境研究开辟了新途径。但学术界对全球广布的安山岩构造环境及相关地球化学特征问题的讨论则相对不足。本文利用GEOROC 和PetDB 两个数据库对全球新生代安山岩进行数据挖掘,讨论了它们的地球化学特征及形成环境。初步将全球新生代安山岩归属为12个形成构造环境,其中67.71%产出于岛弧、陆缘弧等汇聚板块边缘环境,其余安山岩则形成于大陆板内、大陆溢流、洋岛、大陆裂谷、洋中脊等构造环境。研究表明,常用的玄武岩微量元素判别图以及LILE/HFSE 玄武岩判别图均在一定程度上可用于安山岩成因及环境判别, 暗示安山岩地球化学成分也可用于构造环境的判定。采用大数据思维,探索洋岛安山岩（OIA）和岛弧安山岩（IAA）中地球化学元素的关联关系,从获得的近20 000 个OIA-IAA 判别图中选出lg（Cs/Ta）-lg（Cu/Ta）、lg（CaO/Nb）-lg（Cs/Zr）和lg（Cu/Ta）-lg（Co/Nb）等6个图解,能有效限定它们的构造环境,为安山岩成因及形成环境研究提供了新的思路。这些初步成果说明科学大数据的研究方法可成为岩浆岩构造环境及地球化学研究中的重要有效手段。     

Discriminating four tectonic settings: Five new geochemical diagrams for basic and ultrabasic volcanic rocks based on log — ratio transformation of major-element data

We present five new discriminant function diagrams based on an extensive database representative of basic and ultrabasic rocks from four tectonic settings of island arc, continental rift, ocean-island, and mid-ocean ridge. These diagrams were obtained after log_e-transformation of concentration ratios of major-elements — a technique recommended for a correct statistical treatment of compositional data. Higher % success rates (overall values from ∼ 83 to 97%) were obtained for proposing these new diagrams as compared to those (∼82 to 94%) obtained from the discriminant analysis of the raw major-element concentration data (i.e., without the log_e-transformation and without taking ratios of the compositional data, but using exactly the same database to provide an unbiased comparison), suggesting that such a data transformation constitutes a statistically correct and recommended technique. The new diagrams also resulted in less mis-classification of basic and ultrabasic rocks from known tectonic settings than the diagrams obtained from the raw data. The use of these highly successful new discriminant function diagrams is illustrated using Miocene to Recent basic and ultrabasic rocks from three areas of Mexico with complex or controversial tectonic settings (Mexican Volcanic Belt, Los Tuxtlas volcanic field, and Eastern Alkaline Province), as well as older rocks from three areas (Deccan, Malani, and Bastar) of India. Additionally, the major-element data from two ‘known’ continental arc settings are used to show that they are similar to those from the island arc setting. Continental rift setting is inferred for all Mexican cases and for one cratonic area of India (Malani) and an IAB setting for the Bastar craton. The Deccan flood basalt province of India is used to warn against an indiscriminate use of those discrimination diagrams that do not explicitly include the likely setting of the area under evaluation. An Excel template is also provided for an easy application of these new diagrams for discriminating the four settings considered in this work.     

Sediment geochemistry and tectonic setting: Application of discrimination diagrams to early stages of intracontinental rift evolution,with examples from the Okavango and Southern Tanganyika rift basins

In this article, we have applied discriminant diagrams and bivariate plots for tectonic setting to Quaternary sediments from the East African Rift System (EARS). Sediment samples used in this study represent two different phases in early stage intracontinental rift evolution: the alluvial fan of the nascent Okavango system and a lacustrine basin within the relatively more mature Tanganyika system. The diagrams for tectonic setting for major elements place the majority of these EARS sediments within the passive margin (PM) setting. Passive margin sandstones are generally enriched in SiO₂ and depleted in Na₂O, CaO and TiO₂ reflecting their highly recycled nature. Based on major element discriminant diagrams, we propose two new fields for early stage intracontinental rift evolution (alluvial fan and lacustrine basin), within the previously defined passive margin field. The rare earth element (REE) patterns from both Okavango and Tanganyika sediments exhibit patterns similar to PAAS, with ash layers from the Rungwe volcanics in the Tanganyika samples exhibiting an enrichment in REE relative to the bulk sediment.     

Do major oxide tectonic discrimination diagrams work? Evaluating new log‐ratio and discriminant‐analysis‐based diagrams with Indian Ocean mafic volcanics and Asian ophiolites

Many geochemical diagrams exist that classify old volcanic terranes of ambiguous provenance into various modern plate tectonic settings, with variable success. Recently proposed diagrams, based on log‐ratios and linear discriminant analysis with large datasets of major oxides, were tested here with data for ocean island, arc and mid‐ocean ridge lavas from the Indian Ocean. Success rates are 45–100%, with misclassifications potentially caused by alteration, although alteration demonstrably need not cause misclassification. The diagrams were further applied to some Asian ophiolites, representing Tethyan and Indian ocean crusts, to see if the diagrams confirm their tectonic setting inferred from trace and isotopic data. Lower success rates (30–60%, but 75–100% for specific suites) are not surprising in view of the ubiquitous and complex alteration in ophiolites. Log‐ratio transformation and linear discriminant analysis appear to be powerful methods when discrimination diagrams are based on major oxide data alone.     

哀牢山构造岩浆带晚二叠世-早三叠世火山岩特征及其构造环境

本文对中国云南哀牢山构造岩浆带内的雅轩桥、帽盒山、绿春火山岩等开展了相关研究.雅轩桥附近的火山岩为晚二叠世,岩性主要为橄榄粗安岩-玄武岩(少量安山岩),在TAS图上既有碱性又有亚碱性.钾含量较低(＜1.19％),为低钾钙碱-中钾钙碱性,Peacock碱钙指数以钙碱性为主.与MORB相比,其痕量元素蛛网图亏损Nb、Ta,而富集Pb,从Zr-V曲线呈平坦型,并且整体比MORB亏损.稀土元素配分模式与MORB相近,但略显轻稀土元素富集和重稀土元素亏损.在构造环境判别图上均位于火山弧环境.他郎河边(雅轩桥地区)火山岩为英安岩,属亚碱性,中钾钙碱性,Peacock指数为钙性.痕量元素蛛网图、REE模式图以及大地构造环境判别图,均表明其属于弧的构造环境.由上推测雅轩桥火山岩在晚二叠世属于弧火山岩.帽盒山玄武岩的锆石SHRIMP U-Pb测年结果为249±1.6Ma,为早三叠世.岩性为亚碱性钠长玄武岩,低钾钙碱性系列,Peacock碱钙指数以钙性为主.痕量元素蛛网图和REE配分模式图与MORB相比,LREE略微富集.在构造环境判别图中位于从E-MORB向岛弧过渡的构造环境.绿春地区流纹岩的锆石SHRIMP U-Pb年龄为247.3±1.8Ma,为早三叠世,属亚碱性,钾玄岩系列,Peacock碱钙指数为碱钙性.痕量元素蛛网图、REE配分模式图及大地构造环境判别图显示其为成熟岛弧向陆陆碰撞的过渡环境.结合前人研究,推测哀牢山洋在晚泥盆世形成,可能在石炭世-早二叠世(?)处于洋的扩张期.晚二叠世时,在哀牢山洋的西侧出现了雅轩桥的初始孤火山岩,预示着至少在这一时期,哀牢山洋已经开始俯冲.到三叠世早期(249±1.6Ma),在哀牢山洋的东侧出现了具有弧和MORB的双重特性的帽盒山玄武岩,可能指示此时哀牢山洋盆已经变小,或已转化为孤间或弧后盆地,洋的演化进入了晚期阶段,并且在局部地段,如绿春地区,此时(247.3±1.8Ma)已经进入到成熟岛弧向陆陆碰撞的过渡阶段.因此支持哀牢山洋在晚三叠世闭合的结论,亦符合上三叠统一碗水组不整合在哀牢山蛇绿混杂岩之上的事实.