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中国农学通报 ›› 2019, Vol. 35 ›› Issue (11): 133-141.doi: 10.11924/j.issn.1000-6850.casb17120004

所属专题: 现代农业发展与乡村振兴

• 农业科技信息 • 上一篇    下一篇

基于文献计量的巢湖农业面源污染概况分析

左琳琳1, 胡海棠2, 李存军2, 邱春霞1, 葛 艳1, 何小安1   

  1. 1.西安科技大学测绘科学与技术学院;2.北京农业信息技术研究中心
  • 收稿日期:2017-12-01 修回日期:2019-03-27 接受日期:2018-02-24 出版日期:2019-04-15 发布日期:2019-04-15
  • 通讯作者: 胡海棠
  • 基金资助:
    国家重点研发计划“典型农田面源和重金属污染对生态系统服务的损益评估”(2016YFD0800906-1)。

Agricultural Non-point Source Pollution of Chaohu Lake Basin Based on Bibliometric Analysis

  • Received:2017-12-01 Revised:2019-03-27 Accepted:2018-02-24 Online:2019-04-15 Published:2019-04-15

摘要: 为了解巢湖农业面源污染的研究进展,明确该领域的研究现状和热点,以CNKI、维普、SCOPUS数据库为基础,采用文献计量的方法对巢湖农业面源污染主题的文献进行检索。结果表明:巢湖流域治理方向的发文量最多,其中大多数是从源头控制、中间拦截、末尾治理定性叙述的,模型和现状的关注度也比较高,主要参考国外通用模型进行验证及负荷估算等。安徽农业大学和合肥工业大学等机构为巢湖该领域发展做出很大贡献;马友华团队等是该领域的核心团队,主要发文期刊有《中国农学通报》、《安徽农学通报》、《水土保持学报》、《环境科学学报》等。由此发现,巢湖流域的研究热点集中在治理方向,其中定性叙述治理措施文献偏多,定量研究治理效果和生态补偿标准的确定是未来的一个发展方向,模型的创新性有待于提高。

Abstract: To understand the research progress of agricultural non-point source pollution (ANSP) in Chaohu Lake basin, and the research status and hot topics, CNKI, VIP and SCOPUS databases are chosen to get the published articles on ANSP in Chaohu Lake basin. The results showed that the focus of the ANSP researches in this region was controlling methods. Most of them provided qualitative approaches from source control, intermediate interception and the end treatment. Model and status of the ANSP in the region were also research highlights, foreign universal models were most used for verification and pollution load estimation. The major research institutions included Anhui Agricultural University and Hefei University of Technology. Ma Youhua team was the core one in this research field, and the major journals were Chinese Agricultural Science Bulletin, Anhui Agricultural Science Bulletin, Journal of Soil and Water Conservation, and Acta Scientiae Circumstantiae. Our findings show that: control direction is the study hotspot, and many literatures are on qualitative control method; quantitative study on control effect and ecological compensation standard are future research directions, and model innovation should be enhanced.