基于文献计量的滑坡监测技术现状及趋势分析

    Status and trend analysis of landslide monitoring technology based on bibliometrics

    • 摘要: 近些年中国滑坡灾害监测研究成果丰硕,但仍有不少问题尚未解决。以CNKI作为数据来源,对滑坡监测领域的学术论文进行统计分析,并借助文献可视化软件,对该领域主要研究力量、研究热点和脉络演化等进行挖掘剖析;对已有监测技术从“空、天、地”3个方面进行了归纳总结,详细阐述了现有滑坡监测技术的发展应用现状及趋势,最后指出中国滑坡监测领域存在的关键性问题及对策。结果表明:滑坡监测领域发文量呈阶段性上升发展,监测技术手段的发展革新和滑坡预报预警研究是该领域的热点研究话题;许强、殷坤龙和易庆林教授及其团队聚集了该领域的核心研究力量;基于“空、天、地”的各种滑坡监测技术各有优劣,单一方法很难得到理想结果,科学合理运用多种技术手段才能对滑坡灾害形成演化有更全面深入的认识。目前监测技术手段朝向预测预警能力的提升转变,未来构建多维多尺度精准动态可视化远程监测预警平台,将会成为地灾防治领域智能化高质量发展的主要方向。

       

      Abstract: In recent years, China has obtained mass of research results in the monitoring of landslides, but there are still some problems that have not been solved. Taking CNKI as the source of data, academic papers in the field of landslide monitoring have been statistically analyzed, and the visualization software of the literature was used to dig and analyze the main researchers, research hot spot and evolution vein of the field. The existing monitoring technology has been summarized from three aspects of ‘space, sky, and ground’. In addition, the development and application status and research trends of landslide monitoring technology have been explained in detail. Finally, the key problems and countermeasures in the field of landslide monitoring were pointed out. The results showed that the publication in landslides monitoring has been rising in stages. The development and innovation of monitoring technology and the research on landslide forecasting and early warning were the hot research topics in this field. XU Qiang, YIN Kunlong and YI Qinglin, these three professors, and their teams gathered the core research forces in the field. There were many landslide monitoring technologies based on ‘space, sky, and ground’, they had their own advantages and disadvantages. It was difficult to obtain ideal results through a single method, only by comprehensively using multiple technical means can we obtain a deeper understanding on the evolution of landslides. At present, monitoring technology is being transformed towards the improvement of forecasting and early warning capabilities, and building a multi-dimensional, accurate, dynamic, visible, remote monitoring and early warning platform will become a major direction of intelligent and high-quality development in the field of disaster prevention.

       

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