Research progress of smart water conservancy based on knowledge graph
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(1.Hubei Key Laboratory of Construction and Management in Hydropower Engineering, China Three Gorges University, Yichang 443002, China;2.College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, China;3.College of Economic and Management, China Three Gorges University, Yichang 443002, China )

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TV21;G353.1

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    Abstract:

    This paper collected relevant research literatures on the smart water conservancy in the databases of China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) from 2000 to 2021. By using the VOSviewer, CiteSpace and other software, this study built various knowledge maps for the time series distribution of literatures in the field of smart water conservancy, publishing institutions, and evolution of research hotspots, to analyze the current progress of smart water conservancy research. The results show that the literature amount of smart water conservancy is increasing year by year, but there is a significant gap between the CNKI database and the WOS database, and core research institutions have been formed in the field of smart water conservancy making important contributions to the frontier development. The CNKI database focuses on the construction of digital watershed and smart water conservancy framework by basin as a unit, while the WOS database focuses on researches from the perspective of geography and earth. Both of them build the platforms for smart water conservancy based on the Internet of Things and deep learning.

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陈述,纪勤,陈云,等.基于知识图谱的智慧水利研究进展[J].河海大学学报(自然科学版),2023,51(3):143-153.(CHEN Shu, JI Qin, CHEN Yun, et al. Research progress of smart water conservancy based on knowledge graph[J]. Journal of Hohai University (Natural Sciences),2023,51(3):143-153.(in Chinese))

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  • Received:March 24,2022
  • Revised:
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  • Online: June 04,2023
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