ISSN 1003-8035 CN 11-2852/P

    近30年滑坡研究文献图谱可视化分析

    Visualization analysis of research literature map on landslides in the past 30 years

    • 摘要: 以中国知网CNKI数据库收录的17680篇(1992—2021年)中文滑坡文献和Web of Science 核心数据库收录的11350篇(2016—2021年)外文滑坡文献为研究对象,利用文献计量学和知识图谱可视化技术,基于提取的中外文文献关键词信息分析了中国滑坡研究的发展历程、中国学者对国际滑坡研究的贡献,并对比了中外文滑坡研究热点的异同。结果表明:(1)稳定性一直是中国滑坡研究的重点,且随着滑坡研究的方法、对象、诱发因素、防灾减灾需求等方面的发展而不断延续拓展;(2)滑坡灾害研究具有明显的时代特色,具有明确发生时间的重大滑坡事件一般都会成为一段时间内的研究热点;(3)中国在国际滑坡研究领域占有绝对优势,发文量占总发文量的23.34%,发文量排名前4位的研究机构均来自中国;(4)在全球气候变化背景下,边坡稳定性、重大突发性滑坡灾害、高速远程链式危害、古滑坡复活,基于大量地面调查、遥感、监测、勘测数据的机器学习和深度学习开展的风险隐患识别、预警模型和判据研究,包括海底滑坡在内的海洋地质灾害可能成为未来的研究热点。研究结果较客观地展现了中国滑坡研究的发展脉络和国内外滑坡研究的热点和趋势,以期有助于我国滑坡灾害研究与防治科技的进步。

       

      Abstract: This study focuses on a comprehensive analysis of landslide research literature over the past 30 years, utilizing bibliometrics and knowledge mapping technology. The research objects consisted of 17 680 Chinese landslide literature articles (1992−2021) obtained from the CNKI database and 11 350 English landslide literature articles (2016−2021) retrieved from the SCI database. By employing bibliometrics and knowledge mapping visualization techniques, this paper examines the development of landslide research in China, the contributions of Chinese scholars to international landslide research, and conducts a comparative analysis of Chinese and English literature. The results indicate that: (1) stability has been a consistent focus of landslide research in China, continuously expanding and evolving with the development of landslide research methods, subjects, triggering factors, and disaster prevention and mitigation demands. (2) Major geo-hazard events with well-defined occurrence times tend to become research hotspots for a certain period. (3) China holds a dominant position in international landslide research, accounting for 23.34% of the total publication output, with the top four research institutions in terms of publication output originating from China. (4) In the context of climate change, integrating remote sensing with machine learning and depth learning methods, the research hotspots in landslide studies encompass early identification, prediction, and early warning of geo-hazards, the mechanisms underlying typical geo-hazards, marine geo-hazards, reactivation of ancient landslides in mountain and canyon areas, as well as high-speed and long-distance chain geo-hazards. The research results provide an objective overview of the development of landslide research in China and the global landscape, offering valuable insights for advancing landslide hazard prevention and control technologies in China.

       

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