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近年来，全球复合干热事件频发，对生态环境、人体健康、城市建设产生重大影响，分析当前复合干热事件的研究进展，对未来研究和应对复合干热事件产生的灾害性影响具有指导作用。以Web of Science和知网平台的相关论文为数据源，基于Citespace V的文献计量分析和阅读，归纳当前国内外复合干热事件研究的关注点和方法，分析复合干热事件研究中数据和方法存在的问题，探索未来复合干热事件研究的新思路。结果表明，欧美国家从事复合干热事件研究的综合影响力大，中国虽然发文量较大，但影响力有待提升。现有的复合干热事件研究主要聚焦对农业、林业、人居环境及人体健康的影响，以及事件发生机制和城市适应性策略等方面；而在定义和衡量复合干热事件、识别特征要素、分析驱动机理等方面存在问题。未来研究应当注意采用多源数据，将时间尺度精细化，通过实证研究改进极端事件的三维识别技术，以更好地提取特征变量。同时，要揭示驱动因子的作用机制，特别是因子之间的依赖性和相互作用。
Abstract：In recent years, global compound dry-hot events have increasingly impacted the ecological environment, human health, and urban development. Recent research progress in Central Asia, as demonstrated by the work of the Xinjiang Institute of Ecology and Geography, has shown an increasing trend in compound dry-hot events, which is crucial for guiding future research and mitigating their disastrous impacts. Relevant papers from Web of Science and CNKI, analyzed using Citespace V and literature review, served as data sources. this study summarizes the current research focus and methods on compound dry-hot events both domestically and internationally. It examines the issues in data and methodologies employed in research on compound dry-hot events, and delves into novel concepts for future studies on these phenomena. The results show that European and American countries have the greatest comprehensive influence in research on compound dry-hot events. Although China has published a large number of papers, its influence needs to be enhanced. Existing research on compound dry-hot events mainly focuses on their impacts on agriculture, forestry, human settlements, and human health, as well as event mechanisms and urban adaptation strategies. However, defining and measuring compound dry-hot events, identifying their characteristic elements, and analyzing driving mechanisms pose challenges. Future research should focus on adopting multi-source data, refining the temporal scale, and improving three-dimensional identification techniques for extreme events through empirical research to better extract characteristic variables. At the same time, it is necessary to reveal the mechanism of driving factors, especially the dependencies and interactions between them.
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基本信息:
DOI：10.19760/j.ncwu.zk.2025024
中图分类号:P423
引用信息:
[1]李颖,刘自颖,梁继颢.复合干热事件研究热点分析与展望[J].华北水利水电大学学报(自然科学版),2025,46(02):64-73.DOI:10.19760/j.ncwu.zk.2025024.
基金信息:
国家自然科学基金项目(42201039)