摘要
为进一步分析我国洪水预报领域研究演化进程,辨识领域知识结构框架,以中国知网洪水预报核心期刊文献数据为研究对象,利用Citespace及VOSviewer软件绘制科学知识图谱,对文献发文量、研究机构、研究者、文献关键词进行统计分析。结果表明:洪水预报研究经过多年发展,研究机构形成多强共存、以强带弱的良好局面,不同研究团队间交流学习日益深入,文献关键词演进历程表明领域研究重点逐渐向资料缺乏的中小河流汇聚;并利用精细化模型实现洪水全过程模拟,能有效增加洪水预报精度,降低洪水灾害发生风险,为后续相关研究提供借鉴与参考。
To further analyze the evolution of flood forecasting research in China and identify the knowledge structure framework in the field,this paper focuses on core journal literature datas on flood forecasting from the China National Knowledge Infrastructure.By applying Citespace and VOSviewer software to draw scientific knowledge graphs,the study conducts a statistical analysis of literature publication volume,research institutions,researchers and literature keywords.The findings reveal that flood forecasting research has undergone significant development over the years.Research institutions have formed a favorable situation of coexistence among multiple strong entities,with stronger institutions leading weaker ones.Communication and knowledge exchange among different research teams have deepened over time.The evolution of literature keywords indicates a gradual convergence of research focus towards small and medium-sized rivers with limited data availability.Refined models are employed to simulate the entire flood process,effectively enhancing the accuracy of flood forecasting and mitigating the risk of flood disasters.Furthermore,these insights provide valuable references for future research in related fields.
作者
白石
蒋东进
陈宇佳
BAI Shi;JIANG Dongjin;CHEN Yujia(Hydrology and Water Resources Center of Inner Mongolia Autonomous Region,Hohhot 010010,China;Jiangsu Nanshui Water Technology Co.,Ltd.,Nanjing 210012,China;CASIC Intelligence Industry Development Co.,Ltd.,Beijing 100039,China)
出处
《水利信息化》
2024年第3期45-50,共6页
Water Resources Informatization
