地学前缘 ›› 2021, Vol. 28 ›› Issue (1): 308-317.DOI: 10.13745/j.esf.sf.2020.8.12

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大数据科学从信息化、模式化到智能化:现代地球化学应用研究的新范式

奚小环()   

  1. 中国地质调查局, 北京 100037
  • 收稿日期:2020-05-15 修回日期:2020-08-06 出版日期:2021-01-25 发布日期:2021-01-27
  • 作者简介:奚小环(1949—),男,教授级高级工程师,主要从事地球化学调查与研究工作。E-mail: xxiaohuan@sohu.com
  • 基金资助:
    国家自然科学基金项目(41773019)

Big data science from informationization to modelling to intelligentization: New paradigm of applied geochemical research

XI Xiaohuan()   

  1. China Geological Survey, Beijing 100037, China
  • Received:2020-05-15 Revised:2020-08-06 Online:2021-01-25 Published:2021-01-27

摘要:

地球科学领域处在信息科学与信息化社会时代,基于大数据战略驱动的现代地球科学正在蓬勃兴起。诞生于近代的地球化学具有天然的结构化信息科学属性。提出建立从信息化、模式化到智能化的地球化学大数据信息科学应用研究总体思路,即基于地球化学大数据首先建立信息化系统,运用地球系统科学方法理论建立成矿地球化学分带富集模式与生态地球化学累积效应模式,采用智能系统与智能技术按照模式化思维方式分析、判别和预测大量地质地球化学非线性现象,通过地球化学理论研究和应用评价解决影响国家经济社会发展重要资源环境问题。大数据与地球系统科学构成地球化学应用研究的两大支柱。本文针对目前存在的主要问题,从地球化学大数据信息化、信息模式化及模式智能化等方面进行论述。重要的是以地学模型为主体构建智能化系统,研究成矿系统与生态系统科学问题。世界经济社会发展与资源环境问题处在全球化时代,必须从全球资源配置与全球环境变化高度审视成矿地球化学和生态地球化学问题。地球化学结构化大数据属性的巨大优势,现代计算机关键技术日益成熟及智能化前缘理论研究的不断突破,预示实现地球化学大数据信息科学条件已经具备,可能从地球科学领域脱颖而出,成为具有广博视野和不断进取的新兴科学研究范式。

关键词: 地球系统, 成矿系统, 生态系统, 大数据科学, 信息化, 模式化, 智能化, 集成算法, 研究范式, 地球化学

Abstract:

Geosciences are in the era of information science and informationization when as modern geosciences driven by the big data strategy are booming, and geochemistry has come into being in modern times as having the natural attribute of structured information science. The overall idea of conducting applied geochemical research, based on the big data science from informationization to modeling to intelligentization, is as follows: foremostly, build the information system on the basis of the geochemical big data; secondly, establish the zonal enrichment model of ore-forming geochemistry and the cumulative effect model of ecological geochemistry using the method and theory of the earth system science; thirdly, use intelligent system and techniques to analyze, judge and predict large amount of geological and geochemical nonlinear phenomena according to patternized thinking; and lastly, based on the geochemical research and application, evaluate and solve the important problems concerning the resources and environment which will influence the nationwide socioeconomic development. Big data and earth system science are two pillars of the applied geochemical research. Aimed at solving the main problems facing us today, this paper discusses the geochemical big data informationization, information modelling, model intelligentization, etc. The key point is to construct the intelligent system, with the geoscientific model as the main body, and study the scientific problems of metallogenic system and ecosystem. The world socioeconomic development and resources-environmental processes are in the age of globalization, therefore, we must look at the ore-forming geochemistry and ecological geochemistry from the perspective of global resources allocation and global environmental changes. Nowadays, the key computer techniques are becoming increasingly mature and perfect, and the frontier studies of the intelligent technology are making breakthroughs continuously. Furthermore, it is a great advantage for geochemistry to have the attribute of structured information science. All these contexts indicate that we have the preconditions to establish the geochemical big data information science such that it may stand out from the field of geosciences and become an emerging research paradigm advancing continuously with broad vision.

Key words: earth system, metallogenic system, ecosystem, big data science, informationization, modelling, intelligentization, integrated algorithm, research paradigm, geochemistry

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