Welcome to Geological Journal of China Universities ! Today is
Share:

Geological Journal of China Universities ›› 2020, Vol. 26 ›› Issue (1): 44-.DOI: 10.16108/j.issn1006-7493.2019100

Previous Articles     Next Articles

Analyses of Current Main Geochronological Databases and Future Perspectives

LI Qiuli,LI Yang,LIU Chunru,LU Kai,QIN Jintang,WANG Fei,WANG Tiantian,WANG Yinzhi,WU Liguang,YANG Chuan,YIN Gongming,LI Xianhua   

  1. 1. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;
    2. Institute of Geology, China Earthquake Administration, Beijing 100029, China;
    3. China University of Geosciences, Beijing 100083, China;
    4. NERC Isotope Geosciences Laboratory, British Geological Survey, Keyworth NG12 5GG, UK
  • Online:2020-02-20 Published:2020-03-05

Abstract: Geochronology, including absolute radio-isotopic dating and relative dating, is an essential subject of Earth sciences. We have seen significant advances in geochronology in the past century as demonstrated by the developments of theoretical systems, techniques, and analytical approaches, which facilitated both the quality and quantity of geochronology data. Within the suitable range of calibration, various dating methods could confirm each other, and the geochronology system becomes more accurate and explicit. For example, high-precision geochronological results and massive micro-analysis data provide time framework for geological events with unprecedented details. They lay the foundation for both quantifying the processes and rates of geological events and underpinning the coupled evolution of the Earth system. As a response to the dramatic increase of geochronological data, many databases for data management and sharing have been developed. The current paper summarizes the features of the existing geochronological databases, as well as advances in both high temporal and spatial resolution geochronology, to explore the opportunities and challenges of developing geochronology in the big data era.

Key words: geochronology, database, big data, temporal resolution, spatial resolution

CLC Number: