唐晓倩,王菲菲. 地球系统科学理念下地质数据采集趋势及启示[J]. 中国矿业,2023,32(9):182-186. DOI: 10.12075/j.issn.1004-4051.20230672
    引用本文: 唐晓倩,王菲菲. 地球系统科学理念下地质数据采集趋势及启示[J]. 中国矿业,2023,32(9):182-186. DOI: 10.12075/j.issn.1004-4051.20230672
    TANG Xiaoqian,WANG Feifei. Trends and implications for geological data collection in the concept of earth system science[J]. China Mining Magazine,2023,32(9):182-186. DOI: 10.12075/j.issn.1004-4051.20230672
    Citation: TANG Xiaoqian,WANG Feifei. Trends and implications for geological data collection in the concept of earth system science[J]. China Mining Magazine,2023,32(9):182-186. DOI: 10.12075/j.issn.1004-4051.20230672

    地球系统科学理念下地质数据采集趋势及启示

    Trends and implications for geological data collection in the concept of earth system science

    • 摘要: 当前科学技术革命深刻演进,全球性气候、资源、环境等问题日益凸显,越来越多的地学机构倡导地球系统科学理念,地质工作也步入重大转型发展阶段。为了探寻新形势下我国地质数据的采集策略,本文提出了地球系统科学理念下地质数据采集需要着眼于多圈层、长时序、全属性的数据。地质数据采集工作具有自动化、实时化、智能化、集群化、立体化的趋势。新形势下,要以系统观为指导构建多元数据体系以解决具体资源环境问题;持续健全“立体式”数据采集网络以掌握全域地质、自然资源、生态等基础数据;积极研发更多智能采集技术以应对人工智能的迅猛发展;打造高集成度的数据采集工作体系以满足地质工作高质量发展的内在需求。

       

      Abstract: The current science and technology are undergoing profound evolution, and global issues such as climate, resources, and environment are becoming increasingly prominent. More and more geological institutions advocate for the concept of earth system science. Geological work has entered a major stage of transformation and development. In order to explore the geological data collection strategy in the new situation. This paper proposes that the geological data collection in the concept of earth system science needs to focus on data with multiple layers, long time series, and full attributes. The geological data collection has the trend of automation, real-time, intelligence, clustering, and three-dimensional. In the new situation, diversified data system guided by system perspective needs to be built to address specific resource and environmental issues; the “three-dimensional” data collection network needs to be continuously improved to grasp basic data on geology, natural resources, ecology, and other aspects of the entire region; more intelligent collection technologies need to be actively developed to cope with the rapid development of artificial intelligence; highly integrated data collection system needs to be created to meet the inherent needs of high-quality development in geological work.

       

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