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。     

An Intelligent Method for Geochemical Discrimination of Tectonic Settings of Basalt Based on Olivine Composition: GWO-SVM Method and its VerificationEI北大核心CSCD

Geochemical discrimination of tectonic settings of basalts has been an important research direction of geochemistry for decades. Olivine is one of the earliest crystallized minerals of basaltic magma, which records a lot of hidden information of the formation and evolution of the magma. Therefore, basic elements in olivine are used to discriminate three tectonic settings, including the mid-ocean ridge basalt (MORB), ocean island basalt (OIB) and island arc basalt (IAB). However, it is still difficult to accurately discriminate the tectonic settings by using these diagrams. The machine learning algorithm is introduced to solve the aforementioned problem. The classification performance of the machine learning discrimination method largely depends on the rationality of parameter determination. To this end, the paper proposes a coupling intelligent method for geochemical discrimination of tectonic settings using olivine composition of the basalts based on the grey wolf optimizer (GWO)-optimized support vector machine (SVM), or GWO-SVM for short. GWO is used to seek the optimal parameter combination of SVM to form the optimal mapping relationship between basic elements in olivine and basalt tectonic settings, so as to realize the accurate discrimination of MORB, OIB and IAB. In addition, according to the published geochemical data of basalt samples, the discrimination performance of GWO-SVM is evaluated by means of the simulation experiment, hold-out validation and k-fold cross-validation. The evaluation results are represented by the confusion matrix and its derived evaluation indicators. The results show that GWO-SVM can discriminate the tectonic settings of the basalts based on olivine compositions with overall classification accuracy of up to 85%. Thus, in comparison with the traditional discrimination diagram method, the machine learning discrimination method based on multi-algorithm fusion can significantly improve the discrimination accuracy of basalt tectonic settings. © 2020, Science Press. All right reserved.     

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。     

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.     

西藏冈底斯南缘中侏罗世辉长闪长岩锆石U-Pb定年和Lu-Hf同位素组成及其构造意义

为解释冈底斯南缘新发现的中基性岩体构造环境及物质来源等信息,以西藏自治区贡嘎县昌果乡辉长闪长岩为研究对象,通过开展锆石U-Pb定年、Hf同位素组成、全岩地球化学分析,得到岩体锆石年龄为(165±1. 1) Ma。样品富集大离子亲石元素,亏损高场强元素,具有富铝(Al2O3=18. 84%～20. 70%)、富钾的特征,在构造判别图解中样品多落在挤压岛弧区域,表明其形成构造环境应为俯冲岛弧环境。样品具较为平缓的稀土配分曲线,岩浆分异程度较低,无明显Eu异常,(La/Yb)N平均值为2. 30(<4. 3),与幔源岩浆的稀土配分型式相似。锆石Hf同位素显示εHf(t)值为很高的正值(12. 97～18. 74),二阶段模式年龄集中在150～218 Ma,略大于其侵位年龄,表明幔源岩浆在侵位过程中受到地壳物质的混染。结合区域构造演化史认为该岩体形成于新特提斯洋向冈底斯俯冲过程中的成熟岛弧期,从而也进一步证实了南冈底斯在中侏罗世处于俯冲岛弧构造环境。     

Geochemical characterization of oceanic basalts using Artificial Neural Network

The geochemical discriminate diagrams help to distinguish the volcanics recovered from different tectonic settings but these diagrams tend to group the ocean floor basalts (OFB) under one class i.e., as mid-oceanic ridge basalts (MORB). Hence, a method is specifically needed to identify the OFB as normal (N-MORB), enriched (E-MORB) and ocean island basalts (OIB).     

基于大数据方法的玄武岩大地构造环境智能挖掘判别与分析

通过玄武岩判别图推断其所形成的大地构造环境的方法由来已久,自1971年Pearce提出了构造-岩浆判别图解法之后,已涌现出了几十种不同的判别图。然而,判别图的制作过程中使用的元素的信息量少,数据样本量少,缺乏代表性,以至于其适用范围有限,且准确率不够。为提高构造环境判别过程的效率和准确性,本文提出以大数据智能挖掘方法建立判别模型,通过玄武岩的化学成分,迅速准确地对其大地构造环境进行判别。所用到的玄武岩包括三类:洋中脊玄武岩(MORB)、洋岛玄武岩(OIB)和岛弧玄武岩(IAB),样品总量为755个。首先,本文分别利用主量元素判别图和微量元素判别图对三类数据的大地构造环境进行判别,包括Ti O_2-MnO-P_2O_5、Fe O~T-MgO-Al_2O_3、Ti-Zr-Y、Zr/Y-Zr和Ti-Zr判别图。由于判别图法针对的是特定的元素或化合物,而有些样品的成份记录不完善或没有测量到有指定物质,导致无法对该样品在判别图中绘制,因此在绘制不同的判别图之前,需要筛选掉一部分数据。判别结果表明,在不考虑无效数据的情况下,Zr/Y-Zr判别图的准确率最高,可达90%以上。但如果考虑到已筛选掉的数据,上述五种图对三种岩石的判别准确率均低于75%。在利用数据挖掘算法进行判别的过程中,本文分别试验了朴素贝叶斯(NB)、K邻近(KNN)、支持向量机(SVM)和随机森林(RF)四种算法。为达到较好的识别效果,本文将所有的化合物和微量元素组成51维的参数组用于训练模型,并且不会进行任何的数据筛选,即全部被视作有效数据。训练结果表明,NB的分类结果最差,但也超过了75%,而RF训练准确率高达100%。在算法的进阶分析中,测得RF算法验证准确率可达88.46%;为提升智能算法的实用性,本文利用贝叶斯定理对算法的判别结果求逆概率,以实现"由果及因"的合理推断;同时,本文通过人为模拟数据缺失,进一步验证不同的算法的鲁棒性,并认为RF和NB是应该被优先考虑的两种算法;最后,通过提取RF中的决策树,本文对样本中元素的重要性进行了分析,并找到了对判别效果影响最大的几个主量元素和微量元素。综上所述,利用数据挖掘算法判别大地构造环境要比判别图法更为准确、迅速且功能多样,可在该领域做进一步推广应用。     

板块汇聚边缘玄武岩大地构造环境的Th、Nb、Zr判别

根据Th、Nb、Zr的地球化学性质和判别机理，利用世界上典型大地构造环境区玄武岩类的Th、Nb、Zr数据，研究了Th、Nb、Zr判别玄武岩大地构造环境的地球化学机理，发现不同构造环境区玄武岩系的Th、Nb、Zr特征具有显著差异，其比值特征能将玄武岩形成的大地构造位置很好地划分出来。提出了板块汇聚边缘玄武岩大地构造环境的Nb/Zr Th/Zr判别图，该图不但能较好地区分出板块汇聚边缘中的洋—洋俯冲带、洋—陆俯冲带及陆—陆碰撞带，同时还能反映出岛弧区大地构造环境演化的趋势。     

Basalt geochemistry as a diagnostic indicator of tectonic setting

Basalt geochemistry can be used as a diagnostic indicator for determining the tectonic setting of origin, because specific plate tectonic settings often impart distinctive geochemical characteristics. For example: (1) mid-ocean ridge basalts (MORB) and oceanic island basalts (OIB) have clearly distinguishable trace element and Sr-Nd isotope geochemical characteristics; (2) arc related basalts, including IOAB (intra-oceanic arc basalts), IAB (island arc basalts) and CAB (continental arc basalts), exhibit following distinguishing features: all are characterized by low Nb/La ratios (<0.85) and negative Nb, Ta and Ti anomalies; most exhibit low Nb concentrations (<8 ppm), high positive ɛ_Nd values and low enrichment of incompatible elements except the continental arc shoshonitic basalts that possess high concentrations of incompatible trace elements and lower to negative ɛ_Nd values; (3) although contamination by continental crust or lithosphere can impart subduction-like signature (e.g., low Nb, low Ta and low Ti) and lead to misidentification of contaminated continental intraplate basalts as arc related, there are still some essential differences between continental intraplate basalts and arc related ones; such as: uncontaminated continental intraplate basalts have high Nb concentrations, Nb/La > 1, “hump-shaped” OIB-like trace element patterns and moderate positive ɛ_Nd values that distinguish them from the arc related ones; whereas, the contaminated continental intraplate basalts are characterized by pronounced negative Nb, Ta and Ti anomalies, but their concentrations of incompatible trace elements are conspicuously higher than those of subduction-zone basalts that also distinguishes them from the arc related ones; (4) an important difference between back-arc basin basalts (BABB) and the MORB is that the former exhibit both MORB-like and arc-like geochemical characteristics; (5) most oceanic plateau basalts (OPB) show diagnostic geochemical characteristics of enriched MORB (E-MORB) to transitional MORB (T-MORB); only the Kerguelen Plateau is an exception; the early (pre 90 Ma) volcanism of the Kerguelen Plateau is associated with the Early Cretaceous break-up of Gondwana and displays features of continental flood basaltic volcanism; with time, the tectonic setting of the Kerguelen plume-derived volcanism changed from a rifted continental margin setting (133–118 Ma) through a young, widening ocean (118–40 Ma), finally to an oceanic intraplate setting (~40 Ma to the present).Tectonic discrimination diagrams should not be used in isolation, but can still be useful as part of holistic geochemical characterization. For example: (1) MORB and OIB are distinguishable from each other in the 3Tb-Th-2Ta diagram; (2) the arc related basalts, including IOAB, IAB and CAB, constantly plot in the arc-related basalts fields in the Th/Yb-Ta/Yb diagram; (3) the 3Tb-Th-2Ta diagram can be utilized to fully illustrate both MORB-like and arc-like characteristics of BABB; (4) some discriminant diagrams (such as Zr/Y-Zr, Th/Yb-Ta/Yb, 3Tb-Th-2Ta and Hf/3-Th-Nb/16 diagrams) can be used to distinguish continental intra plate basalts from arc related ones; (5) although there are not any discrimination diagrams published that delineate an OPB field, some trace element diagrams can still reveal diagnostic characteristics of the OPB.     

西藏拉萨地体南缘汤白地区始新世辉绿岩脉——新特提斯洋壳断离的证据

拉萨地体南缘汤白地区广泛分布新生代的辉绿岩脉。为探讨该辉绿岩脉形成时代、岩石成因和地质意义,对其开展了详细的岩相学、地球化学、锆石U-Pb年代学及Hf同位素研究。LA-ICP-MS锆石U-Pb定年结果显示辉绿岩脉的结晶年龄为(54±1)Ma,表明其形成于早始新世。微量元素地球化学特征显示富集大离子亲石元素(LILEs:如Rb、Sr和Ba),亏损高场强元素(HFSEs:如Nb、Ta和Ti)。与典型的弧岩浆岩、区域上叶巴组和桑日岩群中的玄武岩相比具有较高的Nb、TiO_2和Zr含量,在微量元素构造环境判别图解中显示出板内玄武岩地球化学属性。微量元素地球化学特征结合锆石Hf同位素表明岩浆源区除被俯冲板片释放的流体交代的岩石圈富集地幔外,还有软流圈亏损地幔物质加入。汤白辉绿岩脉侵入年龄与区域上林子宗群火山活动峰期接近(52 Ma)。同时结合岩石成因及构造背景,作者认为汤白辉绿岩脉是54～52 Ma新特提斯洋壳断离诱发岩浆作用的产物。根据最新大陆碰撞及板片断离的三维数值模型,暗示了印度板块与欧亚大陆碰撞的起始时间为65 Ma或者更早。     

新疆西天山智博铁矿床火山岩和侵入岩岩石地球化学

新疆西天山阿吾拉勒山集中产出多个大、中型海相火山岩型富铁矿床,引起人们的广泛关注。这些铁矿的成因被认为与火山作用有关,但对其成岩成矿的大地构造背景尚不清楚。文章研究了智博铁矿区出露的火山岩和侵入岩的岩石学、岩石地球化学,尝试探讨该问题。智博铁矿体赋矿围岩为早石炭世大哈拉军山组玄武岩和安山岩,侵入岩有晚石炭世花岗岩、花岗岩脉和闪长岩脉。玄武岩和安山岩在构造环境判别图解中投影于火山弧范围内,在花岗岩类构造环境判别图解中,320 Ma的花岗岩脉和319 Ma的石英闪长岩投影于岛弧环境,304 Ma的花岗闪长岩则投影于同碰撞环境。结合前人研究成果,认为智博地区在早石炭世为岛弧环境,晚石炭世可能经历了岛弧俯冲向同碰撞环境的转变。玄武岩亏损Ta、Nb,相对亏损Th,富集Rb、U、Pb;安山岩亏损Ta、Nb,富集轻稀土元素和Rb、U、Th、Pb,结合Sr/Th-Th/Ce和Th-Ba/Th图解判别,推测智博铁矿床玄武岩和安山岩岩浆源区为受到了俯冲带流体交代的楔形地幔。     

Late cenozoic rift development and intra-plate volcanism in Northern New Zealand inferred from geochemical discrimination diagrams

Major- and trace-element discrimination diagrams are used in an attempt to discover the tectonic settings in which the late Cenozoic basalts and basalt-andesites of northern New Zealand evolved. The rocks of the Northland area are shown to have rift affinities, whereas those of Auckland and South Auckland appear to have evolved in an intraplate environment. It is proposed that the common link between the two groups of volcanic rocks is the Hauraki Rift. The Northland basalts are directly associated with the rift, whereas the Auckland and South Auckland rocks either developed on the flanks of the rift or their origin is linked to the evolution of membrane stresses during the opening of this rift. The basalts and basalt-andesites of the Waikato district also show an affinity with the rift, but the geochemistry is complicated by the influence of the developing Taupo Volcanic Zone which adds a shoshonitic character to these rocks.     

川西新元古代玄武质岩浆岩的锆石U-Pb年代学、元素和Nd同位素研究:岩石成因与地球动力学意义

扬子块体西缘新元古代岩浆活动非常强烈 ,其成因对研究Rodinia超级大陆的演化有重要意义。目前对这些岩浆岩的成因和形成的构造背景存在地幔柱和岛弧两种截然不同的观点。文中对康定地区的冷碛辉长岩进行了SHRIMP锆石UPb、元素和Nd同位素研究 ,结果表明辉长岩结晶年龄为 (80 8± 12 )Ma ,与康定花岗质杂岩在时空上密切共生。虽然辉长岩浆在上升过程中受到富集岩石圈地幔和 /或基性下地壳物质的混染 ,但其元素和Nd同位素特征总体上与苏雄碱性玄武岩 (典型的板内型玄武岩 )相似 ,形成于板内裂谷环境。与玄武质岩石相反 ,扬子西缘新元古代花岗质岩石地球化学特征没有明确的构造岩石组合关系。目前的研究资料表明扬子块体西北缘在约 95 0～ 90 0Ma期间可能存在一个近东西向的俯冲带和火山弧 ,但在 86 0～ 75 0Ma期间不存在火山弧 ,这个时期的大规模岩浆活动很可能与Rodinia超级大陆下的一个超级地幔柱活动有关。     

基于改进遗传算法一神经网络的玄武岩构造环境判别及对比实验

通过岩浆岩的地球化学特征判别岩浆形成的大地构造环境和岩浆源区的化学性质是地球化学全岩分析最重要的应用之一。该方法利用全岩地球化学数据,包括主量元素、微量元素和同位素组成数据,对给定岩浆岩(玄武岩、花岗岩等)的大地构造环境进行判别。作为人工智能技术在地球化学研究领域中的新尝试,机器学习判别方法逐渐成为经典判别图解法的补充研究手段。然而,高维数据特征筛选和繁多未知参数确定是影响算法分类准确性的两个主要因素。为此,提出一种遗传算法优化神经网络耦合判别方法(GA-NNDM)。该方法利用特征选择、参数确定和分类性能之间的反馈联系,将分类准确率、所选特征数量和特征代价作为适应度函数,通过迭代演化寻求最佳特征子集和未知参数,从而达到减少特征、优化参数和提高性能的目的。此外,根据公开玄武岩样品地球化学数据,通过K折交叉验证等方法设置纵向、横向比较实验来验证GA-NNDM在玄武岩构造环境判别方面的准确性、稳定性和外延性。仿真实验结果表明,GA-NNDM具有优良的判别效果和泛化能力,其总体分类准确率能达到90%。因此,GA-NNDM值得在地球化学领域做进一步推广应用。     

大陆板内玄武岩数据挖掘:成分多样性及在判别图中的表现

通常认为,大陆溢流玄武岩(CFB)、裂谷玄武岩(CRB)、板内玄武岩(WPB)均产于板内构造环境,其地球化学特征与OIB类似,源于富集的下地幔,与地幔柱的活动有关。本文利用GEOROC数据库对全球CFB、CRB和WPB数据进行挖掘,发现上述三类玄武岩判别图投图几乎落入了全部的构造环境域,有些甚至主要落入MORB和IAB区,而不是落入WPB区。结果表明原先的玄武岩判别图的判别功能值得商榷,尤其对大陆玄武岩来说,许多判别图都存在问题。全体CFB、CRB和WPB的地球化学成分变化巨大,暗示其源区具有强烈的不均一性:部分CFB、CRB和WPB来自富集的地幔柱,仍然具有经典的OIB的特征;部分来自MORB的源区,与MORB的再循环作用有关;部分来自岛弧岩石圈之下的亏损地幔源区,以强烈亏损Nb-Ta为特征,类似岛弧玄武岩的地球化学特征。许多地区的大陆玄武岩可分为低钛和高钛两类,低钛玄武岩大多是亏损或强烈亏损的,而高钛玄武岩通常是富集型的。本文的研究表明,富集型大陆玄武岩可能来自富集的下地幔,而亏损的和强烈亏损的玄武岩可能来自具有MORB或岛弧特征的软流圈地幔。进一步指出,源区性质可能是大陆玄武岩多样性的主控因素,其次为部分熔融程度、熔融深度、结晶分离、陆壳混染以及AFC过程。     

青藏高原双湖地区二叠系玄武岩地球化学及其大地构造意义

对青藏高原羌塘地块中部双湖地区发育的二叠系碱性系列和拉斑系列玄武岩进行了详细的地球化学研究。碱性系列玄武岩富集LILE和LREE,其La/Nb比值和OIB相近,Ti/V比值明显高于典型MORB,在微量元素构造环境判别图解上位于OIB区域。拉斑系列玄武岩具有相对平坦的稀土元素配分模式,和典型MORB相比,其Ti/V比值也明显偏高,在微量元素构造环境判别图解上位于MORB和OIB重合的区域,表明岩石起源于一个低度富集的地幔源区。结合区域地质背景,认为双湖二叠系拉斑系列-碱性系列玄武岩组合可能形成于陆间裂谷到小洋盆环境,这套玄武岩的产出可能代表古特提斯洋沿龙木错—双湖构造带在不同地区的发育程度不同,双湖地区在二叠纪应为一个陆间裂谷到小洋盆环境。     

HIMU型洋岛玄武岩的地球化学特征

    洋岛玄武岩的元素和同位素地球化学特征可以示踪深部地幔的化学结构和化学演化过程。HIMU(Highμ,μ=238U/204Pbt=0) 型玄武岩是一类元素和同位素组成特殊的洋岛玄武岩,被认为与地幔柱中再循环的洋壳物质直接相关,因此,HIMU型玄 武岩的成因是地幔柱（热点） 研究中长期关注的话题。本文概述了HIMU型玄武岩的地球化学定义,对HIMU洋岛的分布、 火山演化阶段以及岩性变化做了综合阐述,并在对比经典HIMU型玄武岩与其他板内玄武岩元素地球化学特征、放射成因 同位素组成以及惰性气体同位素组成特征的基础上,简要探讨其源区组成和成因上的不同。     

桂西那坡基性岩地球化学:峨眉山地幔柱与古特提斯俯冲相互作用的证据

华南板块西南缘、越北地块以北桂西那坡县城以西及西南一带发育一套晚二叠世基性岩,由层状、似层状次火山岩相辉绿岩、辉绿玢岩及球状岩组成。根据岩石地球化学特征,那坡基性岩可划分为高Ti(TiO_22.8%和Ti/Y500)和低Ti两部分。高Ti基性岩为碱性玄武岩,而低Ti基性岩为拉斑玄武岩。与低Ti基性岩相比,高Ti基性岩整体具有相对较低的SiO_2、MgO和较高的FeO_t、P_2O_5,轻、重稀土分馏明显,富集大离子亲石元素(LILE)和高场强元素(HFSE),显示出似OIB地球化学特征,与峨眉山高Ti玄武岩具高度亲缘性;低Ti基性岩具有相对较高的SiO_2、MgO和较低的FeO_t、P_2O_5,稀土配分曲线较平坦,富集LILE,严重亏损HFSE(Nb、Ta),与岛弧玄武岩地球化学特征类似。从微量元素比值及相关图解对岩浆源区和构造环境判别,那坡高Ti基性岩来自富集OIB地幔源区,而低Ti基性岩兼具OIB和岛弧岩浆源区的过渡特征。结合岩石地球化学特征及区域地质背景,认为那坡高Ti基性岩可能为峨眉山地幔柱岩浆作用的产物,低Ti基性岩为古特提斯俯冲与峨眉山地幔柱共同作用的产物,揭示了那坡地区晚二叠世同时受到峨眉山地幔柱和古特提斯俯冲相互作用的影响。     

从华北陆块南缘大洋扩张到北秦岭造山带板块俯冲的转换时限

本文以北秦岭造山带华北陆块南缘被动陆缘火山裂谷(大洋?)盆地、早古生代岛弧-弧后盆地和晚古生代岛弧-蛇绿杂岩等构造相带为研究重点,综合利用同位素年代学、古生物年代学、岩石学、岩石地球化学和同位素地球化学等实测数据,系统研究和探讨了北秦岭造山带被动陆缘大洋扩张向俯冲增生造山转换的时限.研究显示:华北陆块南缘由晚新元古代大洋扩张作用转化为板块俯冲作用的转换时限为早奥陶世,约472Ma左右.北秦岭造山带在古生代期间至少存在两期板块俯冲增生造山作用,时代上向南变新,空间上向南向洋内迁移.两次俯冲增生造山作用分别构筑了北秦岭造山带早古生代岛弧-弧后盆地和晚古生代岛弧-俯冲杂岩两条构造相带.     

Source enrichment processes responsible for isotopic anomalies in oceanic island basalts

A new method has been developed to separate the compositional variations in ocean island basalts into those that result from variations in source composition and from the melting process itself. The approach depends on correlations between isotope ratios, which can only come from source inhomogeneities, and elemental concentrations. Analysis of three data sets shows that the inhomogeneities beneath Theistareykir, in NE Iceland, Kilauea and Pitcairn can be produced by subduction of oceanic islands and volcanic ridges. The thicknesses of the lithosphere on which such islands were constructed and potential temperatures of the plumes that produced them can be estimated from the geochemical observations. Model ages are harder to determine, though simple assumptions give about 400 Ma for the Theistareykir source and 1.2 Ga for Kilauea. The model may also provide a physical explanation for the commonly used isotopic classification of ocean island basalts, with the isotopic composition changing from HIMU through EMII to EMI as the melt fraction increases. These results have been obtained from a small number of data sets obtained from ocean island basalts erupted in small areas during short time intervals. More such observations are needed to discover whether geochemical observations from other islands are consistent with the same model.