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中国智慧水利研究知识图谱分析
作者姓名:刘宇轩  位涛  刘仲秋
作者单位:山东农业大学水利土木工程学院,山东 泰安 271000;黄河口水文水资源勘测局,山东 东营 257000
摘    要:为系统梳理中国智慧水利历史演变过程,把握其研究方向,以中国知网(CNKI)2010—2020 年收录的 974 篇文献为研究对象,借助 CiteSpace 软件进行关键词共现、聚类和时间线视图分析,通过对关键词突现、归类和时区演进分析,并结合水利部重大会议和相关文件内容进行分析,结果表明:2010 年以来中国智慧水利的研究与国家政策密切相关,并在 2017 年至今呈现爆发式发展;聚类分析发现,智慧水利的技术路线、应用方向和发展要求是主要研究方向,大数据、风景园林、水利工程、智慧水务和区块链是主要的聚类群体;关键词时区演进分析发现,中国智慧水利的研究可以分为 2010—2011 年(起步阶段)、2012—2016 年(稳步前进阶段)、 2017 年至今(快速演进阶段)3 个阶段;中国智慧水利的研究可从河长制、水安全保障和水利行业监管等方面进行深化。

关 键 词:智慧水利  知识图谱  CiteSpace  可视化  研究进展  热点预测
收稿时间:2021/6/30 0:00:00
修稿时间:2021/9/6 0:00:00

Analysis of Knowledge Map of China's Smart Water Conservancy Research
Authors:LIU Yuxuan  WEI Tao  LIU Zhongqiu
Affiliation:College of Water Conservancy and Civil Engineering, Shandong Agricultural University, Taian 271000 , China;Yellow River Estuary Hydrology and Water Resources Survey Bureau, Dongying 257000 , China
Abstract:In order to systematically sort out the historical evolution of intelligent water conservancy in China and grasp its research direction, 974 papers collected by China National Knowledge Network (CNKI) from 2010 to 2020 are used as research object to analyze the keyword co-occurrence, clustering and timeline view with the help of CiteSpace software. Through the analysis of keyword emergence, classifification and time zone evolution, the analysis is carried out combined with the content of major conferences and relevant documents of the Ministry of Water Resources. Results show that intelligent water conservancy research are closely related to national policies since 2010 in China, and develops explosively since 2017; Cluster analysis shows that main research directions include technical route, application direction and development requirements of intelligent water conservancy, and the main clustering groups include big data, landscape architecture, water conservancy engineering, smart water and blockchain; Key words time zone evolution analysis shows that China''s intelligent water conservancy research can be divided into three stages: 2010-2011 (initial stage), 2012-2016 (steady progress stage), and 2017 to present (rapid evolution stage); Research on China''s intelligent water conservancy can be deepened from the aspect of River Chief System, water safety guarantee, and water conservancy industry supervision.
Keywords:
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