王文佳1,2

　　(1. 清华大学水利水电工程系，北京 100084;

　　2. 北京奥特美克科技股份有限公司，北京 100193)

　　摘 要：水利信息化是现代信息技术和水利、供排水等多学科交叉的研究领域，正在获得政府水行政主管部门和学术界学者越来越多的重视和关注。研究选取1996—2020年CNKI数据库收录的水利信息化和智慧水务等文献作为样本数据，以CiteSpace和VOSviewer知识图谱可视化软件为支撑，采用文献计量方法对水利信息化研究群体及历程，以及不同发展阶段的研究热点进行分析。结果表明：水利信息化已初步形成政府机构、科研院所、高校及产业界共同推进和合作研究的局面，研究初具规模，但以理念探讨和定性研究为主，理论和权威性研究成果较少。水利信息化研究自1996年起步，2001—2010年为信息系统大规模建设与应用阶段，2011年起开始进入智慧水务研究和建设的新阶段，预计未来在政策引导、技术创新和业务需求“三轮”共同驱动下，研究成果将快速增加，研究手段逐渐从定性描述转向定量研究。

　　关键词：知识图谱;CiteSpace;VOSviewer;水利信息化;智慧水务;热点分析;趋势展望

　　Hotspot analysis and trend outlook of hydro-informatics research in China —Knowledge graph analysis based on CiteSpace and VOSviewer

　　WANG Wenjia1,2

　　(1. Department of Hydraulic Engineering， Tsinghua University，Beijing 100084，China;

　　2. Beijing Automic Technology Co.，Ltd.，Beijing 100193，China)

　　Abstract: Hydro-informatics is an interdisciplinary research field of modern information technology, water resources, water supply and drainage. It is receiving more and more concerns from water administrative departments and academic scholars. In this study, literatures on hydro-informatics and smart water archived in CNKI database from 1996 to 2020 are selected as the sample data. Supported by knowledge graph visualization software of CiteSpace and VOSviewer, the study applies bibliometric method to analyze the research groups on hydro-informatics and their history, as well as the research hotspots at different stages. The results show that joint promotion and cooperative research by government agencies, research institutes, universities and industry have preliminarily formed. However, the research mainly focuses on conceptual discussion and qualitative analysis, with relatively few theoretical and authoritative research outputs. The study on hydro-informatics started in 1996, and large-scale development and application of information platforms took place during 2001—2010. The new stage of smart water research and development started since 2011. It is expected that in the future, driven by policy guidance, technological innovation and business demands, research outputs will increase rapidly, and research methods will gradually shift from qualitative to quantitative analysis.

　　Key words：knowledge graph;CiteSpace;VOSviewer;hydro-informatics;smart water;hotspot analysis;trend outlook