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农业面源污染研究可视化分析
引用本文:汪波,林晓波,李文芬.农业面源污染研究可视化分析[J].农学学报,2020,10(7):56-61.
作者姓名:汪波  林晓波  李文芬
作者单位:北京师范大学珠海分校,广东珠海 519085
基金项目:北京师范大学珠海分校校级科研项目“北京师范大学珠海分校科研能力促进计划”(201850003)
摘    要:了解国内近年来的农业面源污染领域研究现状,获取该领域目前研究的内容及热点重点,并借此预测中国农业面源污染研究领域未来的发展趋势。以2008—2019年CNKI(中国知网)中涉及农业面源污染的1000篇较有代表性的文献(其中包括核心期刊论文、硕士论文和博士论文)为基础,采用可视化分析方法,分析此领域研究现状及发展趋势,结果表明农业面源污染研究领域发文总量整体呈现上升趋势;高频词汇主要包括化肥、禽畜粪便和农户等。从时间线看,前期研究重点集中在污染的现状、目标地区的污染负荷、地表及地下径流的情况、化肥的使用量等方面,而后期,农业面源污染的防控防治、国家的控制政策、污染控制技术等作为高频词开始出现,表明国家对农业面源方面污染的防控越来越重视。本研究结果可以为中国农业面源污染的防治及政策制定提供一定的参考数据。

关 键 词:面源污染  可视化分析  聚类  防控  
收稿时间:2019-06-14

Visualization Analysis of Agricultural Non-point Source Pollution
Wang Bo,Lin Xiaobo,Li Wenfen.Visualization Analysis of Agricultural Non-point Source Pollution[J].Journal of Agriculture,2020,10(7):56-61.
Authors:Wang Bo  Lin Xiaobo  Li Wenfen
Institution:Zhuhai Campus, Beijing Normal University, Zhuhai 519085, Guangdong, China
Abstract:To understand the current situation of agricultural non-point source pollution research, this study analyzed 1000 representative papers (including core journal papers, master theses and doctoral dissertations) on agricultural non-point source pollution in CNKI from 2008 to 2019. On this foundation, the future development trend of agricultural non-point source pollution research in China was forecasted by obtaining the current research content and hot spots in this field. The research status and development trend in this field were analyzed by visual analysis method. The results show that the research field of agricultural non-point source pollution has developed. The total amount of articles has an upward trend; high-frequency vocabulary mainly includes chemical fertilizer, livestock manure and farmers. From the time line, the previous studies focus on the status of pollution, the pollution load of the target area, the surface and underground runoff, and the use of fertilizers. In the later period, the prevention and control of non-point source pollution in agriculture, the national control policy and pollution control technology are high-frequency words, indicating that more and more attention has been paid to the prevention and control of non-point source pollution. The results of this study could provide some reference data for the prevention and control of agricultural non-point source pollution and policy formulation in China.
Keywords:Non-point Source Pollution  Visualization Analysis  Clustering  Prevention and Control  
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