中文核心期刊

中国科技核心期刊

CSCD来源期刊

DOAJ 收录

Scopus 收录

彭晶晶, 罗代洪, 林锴, 刘成海, 尚颖. 基于文献可视化方法的Re-Os同位素定年研究进展分析[J]. 岩矿测试, 2023, 42(3): 632-642. DOI: 10.15898/j.ykcs.202207190133
引用本文: 彭晶晶, 罗代洪, 林锴, 刘成海, 尚颖. 基于文献可视化方法的Re-Os同位素定年研究进展分析[J]. 岩矿测试, 2023, 42(3): 632-642. DOI: 10.15898/j.ykcs.202207190133
PENG Jingjing, LUO Daihong, LIN Kai, LIU Chenghai, SHANG Ying. Review on Re-Os Isotope Dating Based on Literature Visualization Method[J]. Rock and Mineral Analysis, 2023, 42(3): 632-642. DOI: 10.15898/j.ykcs.202207190133
Citation: PENG Jingjing, LUO Daihong, LIN Kai, LIU Chenghai, SHANG Ying. Review on Re-Os Isotope Dating Based on Literature Visualization Method[J]. Rock and Mineral Analysis, 2023, 42(3): 632-642. DOI: 10.15898/j.ykcs.202207190133

基于文献可视化方法的Re-Os同位素定年研究进展分析

Review on Re-Os Isotope Dating Based on Literature Visualization Method

  • 摘要: 文献资料是知识传播的重要载体,具有系统性、连续性、数量大、更新快等特点,是重要的信息源,文献资料的可视化研究对知识的传播具有重要意义。当前文献资料的可视化研究多与文献计量分析方法相结合,将文献之间的关系以科学知识图谱的方式可视化地展现,这一技术方法的应用在挖掘文献数据蕴含的信息和规律上发挥了重要作用,但是在文献资料的空间属性挖掘展现上稍显不足,需要在这一领域开展深入研究。本文采用地理信息系统(GIS)技术进行了文献资料的空间可视化方法研究,形成了对文献数据进行信息挖掘和空间可视化的策略和技术路线,并以2015—2020年公开发表的Re-Os同位素定年文献数据为例,对该技术方法进行应用试验。结果表明:①研究区包含文献记载的2015—2020年期间开展Re-Os同位素定年研究工作的140多个矿产地,覆盖中国东中西部地区。②研究区主要矿种共19种,以铜(29.0%)、钼(28.3%)、钨(12.4%)、金(11.0%)为主。③检测对象共计12种,以辉钼矿作为检测对象的研究占比达80.7%,表明辉钼矿仍是Re-Os同位素定年法的首选研究对象,这与辉钼矿的高Re/Os值特性密不可分。④检测年龄落在0~200Ma较新年龄区间矿产地占比达62.1%,多分布在中国东北和东南区域,表明东部地区的Re-Os同位素年龄集中分布在中生代,这与中国东部地区存在中生代大规模成矿事件是相一致的;落在200Ma以上年龄区间矿产地占比达37.9%,多分布在中国中部和西部区域,表明中西部地区的Re-Os同位素年龄集中分布在中生代以前,且具有多期次成矿的特点。本文提出的文献资料可视化技术方法在揭示同位素定年研究的重要目标区域、关键研究矿种和主要应用技术等方面,可提供空间可视化信息,为寻找当前成矿年代学研究的热点与难点提供参考。

     

    Abstract:
    BACKGROUND With the continuous accumulation of data resources around the world, the application of data visualization has become more urgent, and the methods of data visualization have also shown diversified characteristics. Data visualization is a scientific and technical research on the visual representation of data, which studies how to display relatively obscure data visually in a real and accurate way, to vividly and intuitively express the information and rules contained in the data. Literature is an important carrier of knowledge dissemination, with systematic characteristics, continuity, a large quantity and fast update, and is an important source of information. The visualization research of literature is of great significance to the dissemination of knowledge. At present, the visualization research of document data is mostly combined with the bibliometric analysis method, which visualizes the relationship between documents in the form of a scientific knowledge map. The application of this technology and method has played an important role in mining the information and rules contained in document data, but it is slightly insufficient in the spatial attribute mining of document data, which requires in-depth research in this field.
    OBJECTIVES To provide new solutions for expanding the application of literature data in the field of spatial visualization, thereby further enhancing the usable value of literature data.
    METHODS GIS technology was used to carry out the research on the spatial visualization method of document data, excavate the common content features and spatial features of document data, and gather the structured document data of a certain volume of spatial feature information to lay the data foundation for the visualization research. At the same time, the combination point between GIS technology and document data was studied, and the strategy and technical route for information mining and spatial visualization of document data were formed. Taking the data of more than 140 Re-Os isotope dating documents published since 2015 to 2020 as an example, the application test of this technical method was carried out. A Re-Os isotope data visualization service system with a five-tier architecture including layers of support, data, service, application and user has been developed, to realize the spatial visualization application of Re-Os isotope dating document data results.
    RESULTS The results show that: (1) The study area contains more than 140 ore producing areas that carried out Re-Os isotope dating research from 2015 to 2020, covering the eastern, central, and western regions of China. (2) There are 19 main minerals in the study area, mainly copper (29.0%), molybdenum (28.3%), tungsten (12.4%) and gold (11.0%). (3) There are 12 kinds of detection objects, and the proportion of molybdenite as the detection object is 80.7%, which indicates that molybdenite is still the preferred research object of the Re-Os isotope dating method, which is inseparable from the high Re/Os value of molybdenite. (4) The detection age falls in the lower age range of 0-200Ma, accounting for 62.1% of the ore-producing areas, which are mainly distributed in the northeast and southeast regions of China, indicating that the Re-Os isotope ages in the eastern region are concentrated in the Mesozoic era, which is consistent with the existence of large-scale Mesozoic mineralization events in the eastern region of China. The ore-producing area in the age range above 200Ma accounts for 37.9%, which is mainly distributed in the central and western regions of China, indicating that the Re-Os isotope ages in the central and western regions are concentrated before the Mesozoic era and have the characteristics of multiple mineralization.
    CONCLUSIONS The research shows that the document data visualization technology and method proposed in this paper can be used to excavate the spatial characteristics of the document data, expand the application of the document data in the field of spatial visualization, and solve the problems of how to analyze and extract the common information of the document data, locate the spatial feature information, and realize the spatial visualization technology. In terms of revealing important target areas, key research minerals and main application technologies, it can provide spatial visualization information, and provide reference for finding the hot spots and difficulties of current metallogenic chronology research.

     

/

返回文章
返回