王文佳1,2

　　(1. 清華大學水利水電工程系，北京 100084;

　　2. 北京奧特美克科技股份有限公司，北京 100193)

　　摘 要：水利信息化是現代信息技術和水利、供排水等多學科交叉的研究領域，正在獲得政府水行政主管部門和學術界學者越來越多的重視和關注。研究選取1996—2020年CNKI數據庫收錄的水利信息化和智慧水務等文獻作為樣本數據，以CiteSpace和VOSviewer知識圖譜可視化軟件為支撐，采用文獻計量方法對水利信息化研究群體及歷程，以及不同發展階段的研究熱點進行分析。結果表明：水利信息化已初步形成政府機構、科研院所、高校及產業界共同推進和合作研究的局面，研究初具規模，但以理念探討和定性研究為主，理論和權威性研究成果較少。水利信息化研究自1996年起步，2001—2010年為信息系統大規模建設與應用階段，2011年起開始進入智慧水務研究和建設的新階段，預計未來在政策引導、技術創新和業務需求“三輪”共同驅動下，研究成果將快速增加，研究手段逐漸從定性描述轉向定量研究。

　　關鍵詞：知識圖譜;CiteSpace;VOSviewer;水利信息化;智慧水務;熱點分析;趨勢展望

　　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