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高校地质学报 ›› 2021, Vol. 27 ›› Issue (1): 58-72.DOI: 10.16108/j.issn1006-7493.2021003

• DDE专栏 • 上一篇    下一篇

表生地球化学数据库及大数据研究进展

许义江,李成龙,谈昊林,盛雪芬*   

  1. 表生地球化学教育部重点实验室,南京大学 地球科学与工程学院,南京210023
  • 出版日期:2021-02-20 发布日期:2021-03-02

Advances on Surficial Geochemistry Database and Related Research

XU Yijiang,LI Chenglong,TAN Haolin,SHENG Xuefen*   

  1. MOE Key laboratory of surficial geochemistry, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China
  • Online:2021-02-20 Published:2021-03-02

摘要: 表生地球化学是研究地球表层系统的交叉学科,与气候、环境、人类活动等密切相关。随着大数据时代的来临,表生地球化学正面临着新的机遇和挑战。为了给深时数字地球(Deep-time Digital Earth, DDE)科学计划的数据平台建设提供借鉴和参考,文章对现有的表生地球化学领域的数据及其数据库进行了初步调研。结果表明,表生地化数据具有多元化、跨学科的特点,大多数的数据处于缺乏统一标准和非结构化状态;诸如GEOTRACES、PANGAEA等大型数据库具有相对成熟的数据标准和数据管理经验,SISAL数据库在数据结构化的层面上取得了关键成果,都为表生地球化学数据库的进一步建设和完善提供了基本方法和参考经验。文章最后提出表生地球化学大数据建设应以研究目标和需求为导向,组建相应专题科研工作组,集中力量,全面推动学科数字化。

关键词: 表生地球化学, 数据库, 大数据, SISAL

Abstract: Surficial Geochemistry is an interdisciplinary study of the earth’s surface system, which is closely related to climate, environment, and human being. With the advent of the era of big data, surficial geochemistry is facing new opportunities and challenges. In order to provide reference for the construction of the big data platform of the Deep-Time Digital Earth Project (DDE), this paper conducts a preliminary investigation on the existing surficial geochemical data and databases. The results show that the surficial geochemical data have the characteristics of diversity and inter-disciplinal. Most data are lacking of standards and in an unstructured state; larger databases such as GEOTRACES and PANGAEA have relatively accepted data standards and data management experience; SISAL database has achieved key results in the task of data structuring; which are all worthy of further study. The works of surficial geochemistry big data science construction should be guided by research goals and needs, and by setting up corresponding scientific working groups as joined forces to promote the digitalization of surficial geochemistry discipline.

Key words: Surficial Geochemistry, database, big data, SISAL

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