摘要
以1991~2013年CNKI数据库收录的2 263篇国内水资源管理研究核心期刊论文为数据来源,利用文献计量学引文网络分析工具CiteSpace,绘制国内水资源管理研究的知识图谱。分析了我国水资源管理研究的时间分布、机构力量分布、作者分布、期刊分布、学科和基金分布以及研究热点和趋势。结果显示:中国科学院和中国水利水电等科研系统实力较强,水利水电工程学、资源科学、环境科学与资源利用是文献分布的主要学科,国家自然科学基金、国家重点基础研究发展计划(973)等是主要基金来源,宏观层面的水资源管理制度和政策研究、流域综合管理和水资源的经济属性等是目前的研究热点,最严格水资源管理制度和水生态文明建设等内容将是未来一段时间的主题。
The main purpose of this paper is to evaluate the performance and quantitatively assess the current trends on research of water resources management in China.The data come from 2263 papers on online public opinion indexed by CNKI from 1991 to 2013.Knowledge mapping method and Citespace software were used to analyze the distribution of research area,authors' information,main institutions,periodicals,funds and research hotspot and trend.The result of institutions analysis shows that the Chinese Academy of Sciences,the China Institute of Water Resources and Hydropower Research,Hohai University, Wuhan University,etc., were stronger institutions in study field of water resources management.Water Resources and Hydropower Engineering,Resource Science,Environment Science and Resource Utilization,etc.,were main subjects of water resources management.Resources science,Advance in water science and Resources and environment in the Yangtze basin,etc.,were core journals in this area.The National Natural Science Fund,the National Key Basic Research Development Plan(973)and the National Science-Technology Support Plan Project funded most studies.The hot research spots were system and policy research of the water resources management in Macro level,the integrated management of river basins,the economic attributes of water resources and so on.The most stringent water management system and the water ecological civilization construction will be the theme in the future for a long period.
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2015年第3期489-497,共9页
Resources and Environment in the Yangtze Basin
基金
国家社会科学基金项目(10BJY064)"农村水环境问题的经济机理分析与管理创新制度研究"
关键词
CITESPACE
水资源管理
知识图谱
文献可视化
CiteSpace
water resources management
mapping knowledge domains
visualization analysis
