中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (7): 172-179.doi: 10.16265/j.cnki.issn1003-3033.2022.07.2766

• 防灾减灾技术与工程 • 上一篇    下一篇

我国滑坡监测文献计量研究的可视化分析

程刚1,2,3(), 王振雪1, 李刚强4,**(), 倪钰菲2, 徐靓2   

  1. 1 华北科技学院 计算机学院,河北 廊坊 065201
    2 南京大学 地球科学与工程学院,江苏 南京 210023
    3 南京大学(苏州) 高新技术研究院,江苏 苏州 215123
    4 华北科技学院 安全监管学院,河北 廊坊 065201
  • 收稿日期:2022-02-24 修回日期:2022-05-11 出版日期:2022-08-12 发布日期:2023-01-28
  • 通讯作者: 李刚强
  • 作者简介:

    作者简介:程 刚 (1987—),男,安徽六安人,博士,副教授,硕士生导师,主要从事地质与岩土工程智能监测技术、物联网远程数据采集与地质灾害评价等方面研究。E-mail:

  • 基金资助:
    国家重点研发计划课题项目(2018YFC1505104); 中央引导地方科技发展资金资助(226Z5404G); 苏州市科技计划前瞻性项目(SYG202034); 河北省物联网监控技术创新中心项目(21567693H)

Visual analysis of bibliometric research on landslide monitoring in China

CHENG Gang1,2,3(), WANG Zhenxue1, LI Gangqiang4,**(), NI Yufei2, XU Liang2   

  1. 1 School of Computer Science, North China Institute of Science and Technology, Langfang Hebei 065201, China
    2 School of Earth Sciences and Engineering, Nanjing University, Nanjing Jiangsu 210023, China
    3 Nanjing University High-Tech Institute at Suzhou, Suzhou Jiangsu 215123, China
    4 School of Safety Supervision, North China Institute of Science and Technology, Langfang Hebei 065201, China
  • Received:2022-02-24 Revised:2022-05-11 Online:2022-08-12 Published:2023-01-28
  • Contact: LI Gangqiang

摘要:

为有效降低滑坡灾害的发生频次与致灾程度,基于中国知网(CNKI)和Web of Science数据库,对滑坡监测文献计量研究进行可视化分析,从发文量、研究热点、研究机构、研究人员、期刊分布等多视角详述滑坡监测研究进展,利用VOSviewer软件分析滑坡监测高频关键词及其关联度,并通过分类统计定量化得出研究热点和发展趋势。结果表明:滑坡灾害发生数量减小同研究文献量增长呈正相关;监测技术方面,综合监测系统(IMS)和3S日益成熟,合成孔径雷达干涉测量(InSAR)、分布式光纤感测(DFOS)和地面激光扫描(TLS)等多方法融合监测成为新主流,一体化多维度智能监测预警云平台将成为滑坡灾害防治的重要方向。

关键词: 滑坡监测, 可视化分析, 文献计量, 中国知网(CNKI)数据库, Web of Science

Abstract:

In order to reduce the frequency and degree of landslide disasters effectively, this paper made a visual analysis of the bibliometric research of landslide monitoring based on CNKI and Web of Science database. The research progress of landslide monitoring was described in detail from the perspectives of the number of papers, research hotspots, research institutions, researchers, and journal distribution. The VOSviewer software was used to analyze the high-frequency keywords and their correlation degree of landslide monitoring. The research hotspots and development trends were obtained through classification statistics and quantification. The results show that the decrease in the number of landslide disasters is positively correlated with the increase in the amount of research literature. In terms of monitoring technology, Integrated Monitoring System (IMS) and 3S are becoming more and more mature. Multi-method integrated monitoring such as Interferometric Synthetic Aperture Radar (InSAR), Distributed Fiber Optic Sensing (DFOS) and Terrestrial Laser Scanning (TLS) has become the new mainstream. The integrated multi-dimensional intelligent monitoring and early warning cloud platform will become an important direction for landslide disaster prevention and control.

Key words: landslide monitoring, visual analysis, bibliometrics, China national knowledge infrastructure(CNKI)database, Web of Science