火成岩区地球化学和岩石学研究数据分析:南美洲安第斯安山岩案例研究

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Sunil Kumar Khare
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引用次数: 0

摘要

新生代安第斯安山岩的成因与大洋纳斯卡板块沿南美洲西海岸俯冲到南美洲大陆板块之下有关。从阿根廷、智利、玻利维亚、秘鲁和厄瓜多尔延伸到哥伦比亚的安第斯造山带采集的 3311 个安山岩岩石样本的全岩地球化学数据进行了探索性数据分析。在数据分析的帮助下,利用 Python 编程对大量地球化学数据进行了可视化和解释,并对横跨南美大陆的火山活动进行了数据驱动的构造地质学推断。以 Zr 为分馏指数的元素内图揭示了几种主要元素、大离子亲岩元素、高场强元素和稀土元素的相对不流动性和不相容性。为主要元素绘制的元素间图、相关矩阵和热图显示,除 K2O、TiO2 和 SiO2 外,所有主要元素都随分馏而减少。主要元素的变化趋势表明,斜长石和辉石是主要的分馏相。密度图显示了主要元素和微量元素的变化范围和数据密度。岩石成因研究显示,这些火山岩为钙碱性、玄武安山岩至安山岩,并具有后弧构造地质环境。安第斯岩浆的地幔源富含原始上地幔。约 25-30% 的上地幔部分熔化导致了最原始的安第斯岩浆的形成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Data analytics for geochemical and petrogenetic study of an igneous province: A case study on Andean andesite, South America

Data analytics for geochemical and petrogenetic study of an igneous province: A case study on Andean andesite, South America

Genesis of Phanerozoic Andean andesite rocks is related to the subduction of the oceanic Nazca plate beneath the South American continental plate along the west coast of South America. Exploratory data analytics is done on whole-rock geochemical data of 3311 andesite rock samples collected from the Andes orogenic belt, extending from Argentina, Chile, Bolivia, Peru, and Ecuador to Colombia. Python programming has been used for the visualisation and interpretation of large volumes of geochemical data, and data-driven tectonomagmatic inferences for volcanism extending across the South American continent have been drawn with the help of data analytics. Interelemental diagrams with Zr as a fractionation index reveal relative immobility and incompatibility of several major elements, large ion lithophile elements, high field strength elements, and rare earth elements. The interelemental diagrams, correlation matrix and heat maps drawn for major elements reveal that except K2O, TiO2 and SiO2, all major elements decrease with fractionation. Major element variation trends indicate that plagioclase and pyroxene were the major fractionating phases. The density plots give insight into the range of variation and data density of major and trace elements. Petrogenetic study reveals calc-alkaline, basaltic andesite to andesite, and back-arc tectonomagmatic environment for these volcanic rocks. Mantle source of Andean magma was enriched to primitive upper mantle. Around 25–30% partial melting of the upper mantle led to the genesis of the most primitive Andean magma.

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来源期刊
Journal of Earth System Science
Journal of Earth System Science Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
3.20
自引率
5.30%
发文量
226
期刊介绍: The Journal of Earth System Science, an International Journal, was earlier a part of the Proceedings of the Indian Academy of Sciences – Section A begun in 1934, and later split in 1978 into theme journals. This journal was published as Proceedings – Earth and Planetary Sciences since 1978, and in 2005 was renamed ‘Journal of Earth System Science’. The journal is highly inter-disciplinary and publishes scholarly research – new data, ideas, and conceptual advances – in Earth System Science. The focus is on the evolution of the Earth as a system: manuscripts describing changes of anthropogenic origin in a limited region are not considered unless they go beyond describing the changes to include an analysis of earth-system processes. The journal''s scope includes the solid earth (geosphere), the atmosphere, the hydrosphere (including cryosphere), and the biosphere; it also addresses related aspects of planetary and space sciences. Contributions pertaining to the Indian sub- continent and the surrounding Indian-Ocean region are particularly welcome. Given that a large number of manuscripts report either observations or model results for a limited domain, manuscripts intended for publication in JESS are expected to fulfill at least one of the following three criteria. The data should be of relevance and should be of statistically significant size and from a region from where such data are sparse. If the data are from a well-sampled region, the data size should be considerable and advance our knowledge of the region. A model study is carried out to explain observations reported either in the same manuscript or in the literature. The analysis, whether of data or with models, is novel and the inferences advance the current knowledge.
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