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    史艳萍, 张秀平, 王海菁, 汪国斌. 基于CiteSpace的干旱监测研究热点可视化分析[J]. 中国防汛抗旱, 2025, 35(1): 65-71. DOI: 10.16867/j.issn.1673-9264.2023489
    引用本文: 史艳萍, 张秀平, 王海菁, 汪国斌. 基于CiteSpace的干旱监测研究热点可视化分析[J]. 中国防汛抗旱, 2025, 35(1): 65-71. DOI: 10.16867/j.issn.1673-9264.2023489
    SHI Yanping, ZHANG Xiuping, WANG Haijing, WANG Guobin. Analysis on visualization of research hotspots on drought monitoring based on CiteSpace[J]. China Flood & Drought Management, 2025, 35(1): 65-71. DOI: 10.16867/j.issn.1673-9264.2023489
    Citation: SHI Yanping, ZHANG Xiuping, WANG Haijing, WANG Guobin. Analysis on visualization of research hotspots on drought monitoring based on CiteSpace[J]. China Flood & Drought Management, 2025, 35(1): 65-71. DOI: 10.16867/j.issn.1673-9264.2023489

    基于CiteSpace的干旱监测研究热点可视化分析

    Analysis on visualization of research hotspots on drought monitoring based on CiteSpace

    • 摘要: 为深入了解当前干旱监测在全球的研究热点及未来发展趋势,以2000—2022年国内外相关文献为数据基础,利用CiteSpace可视化工具,从研究发文量年度变化、主要发文国家及机构、热点发文期刊及论文、发文关键词等方面,对干旱监测研究的热点趋势进行分析。研究结果表明:①干旱监测研究发文量逐年递增,但中文文献发文量显著低于外文文献,且外文文献发文量近年来增长迅速;②对干旱监测进行研究的主要国家及机构,其当地受干旱影响程度较大,中国发文量位列第2,但还需加大相关研究机构的投入力度;③遥感、干旱指数等是国内学者关注的监测重点,国外则更多关注气候变化、干旱造成的生态脆弱性等,目前机器学习、模型建立等成为干旱监测的研究热点,预计未来新兴技术将在干旱监测中发挥更大作用。分析结果可对干旱监测研究时的重点倾向及期刊选择等提供一定指导。

       

      Abstract: In order to deeply understand the current global research hotspots and future trends on drought monitoring, based on relevant domestic and foreign literatures from 2000 to 2022, CiteSpace visualization tool was used to study the hot trends of drought monitoring from annual changes in the number of published papers, major publishing countries and institutions, hot publishing journals and papers, and keywords of published papers. The results showed as follows: ①The number of publications on drought monitoring increased year by year, but the number of publications in Chinese literature was significantly lower than that in foreign literature, and the number of publications in foreign literature increased rapidly in recent years; ②The main research countries and institutions of drought monitoring are directly related to the degree of drought impact on regions, and China occupies the second place in the number of publications, but it is necessary to increase the investment of relevant research institutions; ③Remote sensing and drought index are the monitoring focuses of Chinese researchers, while foreign researchers pay more attention to climate change and ecological vulnerability caused by drought, etc. At present, machine learning and model building have become the research hotspots of drought monitoring. It is expected that emerging technologies will play a greater role in drought monitoring in the future. The analysis results can provide some guidance for the key focus and journal selection of drought monitoring research.

       

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