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引用本文:梁丽娜,赵亚慧,吴佳俊,魏丹,金梁,徐森,王磊.基于CiteSpace的国内外农业面源污染研究进展与前沿分析[J].中国农业资源与区划,2023,44(4):99~112
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基于CiteSpace的国内外农业面源污染研究进展与前沿分析
梁丽娜1,赵亚慧2,吴佳俊2,魏丹1,金梁1,徐森1,王磊1,2
1.北京市农林科学院植物营养与资源环境研究所,北京 100097;2.河北农业大学资源与环境学院,河北保定 071000
摘要:
目的 分析农业面源污染相关的国内外文献,探讨农业面源污染领域的发展历程、国内外研究热点和前沿,为今后研究提供参考。方法 文章运用文献共被引、关键词共现和关键词突现的文献计量分析法,以 Web of Science(WOS)核心数据库以及中国知网(CNKI)的相关文献为研究对象,对2000—2021年农业面源污染领域国内外研究历程及发展趋势进行分析。结果 (1)农业面源污染问题受到国内外学者的广泛关注,中国发文量最多,占全球的46.18%;(2)对农业面源污染进行聚类分析表明目前国际上农业面源污染领域的知识群组主要集中在水土流失、氮和磷、农业面源污染模型、最佳管理措施、冗余分析等,而国内对农业面源污染的研究主要侧重于农业面源污染负荷、化肥、人工湿地、防治对策等方面。(3)在聚类分析的基础上进行关键词共现分析发现生物技术控制农田径流中氮磷污染、利用Geographic Information System(GIS)等技术建立多种模型并对模型进行集成与优化、确定经济技术上可行的最佳管理措施、识别源区域的风险水平和空间分布是该领域的研究前沿。结论 利用农业面源污染模型、应用环境友好型技术促进农业可持续发展,形成多学科、多领域交叉互融的发展模式对于对农业面源污染防治领域意义重大。目前农业面源污染相关的研究仍处于发展阶段,需注重研究的深入并加强作者团队及区域间的合作。
关键词:  农业面源污染  可视化分析  文献计量  土壤科学  CiteSpace
DOI:10.7621/cjarrp.1005-9121.20230410
分类号:X53
基金项目:北京市农林科学院植物营养与资源环境研究所团队促进项目“耕地质量健康保育与绿色发展团队科技能力提升”(ZHS202304);北京市产业经济与政策创新团队(BAIC11-2022);北京市农林科学院院青年基金“密云水库坡耕地地表径流和壤中流氮素迁移机制”(QNJJ202214);黑土地保护与利用科技创新工程专项“黑土地保育关键技术构建与示范”(XDA28130200)
RESEARCH PROGRESS AND FRONTIER ANALYSIS OF AGRICULTURAL NON-POINT SOURCE POLLUTION AT HOME AND ABROAD BASED ON CITESPACE
Liang Lina1, Zhao Yahui2, Wu Jiajun2, Wei Dan1, Jin Liang1, Xu Sen1, Wang Lei1,2
1.Institute of Plant Nutrition and Resources and Environment, Beijing Academy of Agriculture and Forestry, Beijing 100097, China;2.School of Resources and Environment, Hebei Agricultural University, Baoding 071000, Hebei, China
Abstract:
This paper aims to analyze the domestic and foreign literatures related to agricultural non-point source pollution, and discuss the development history, domestic and foreign research hotspots and frontiers in the field of agricultural non-point source pollution, so as to provide reference for future research. The bibliometric analysis method of literature co citation, keyword co-occurrence and keyword emergence was used to analyze the research process and development trend of agricultural non-point source pollution at home and abroad from 2000 to 2021 with the core database of web of science and relevant documents of CNKI. The results were indicated as follows. (1) Agricultural non-point source pollution had been widely concerned by scholars at home and abroad. The largest number of papers published in China, accounting for 46.18 of the world's total publication. (2) Cluster analysis of agricultural non-point source pollution showed that the international knowledge groups in the field of agricultural non-point source pollution were mainly focused on water and soil loss, nitrogen and phosphorus, agricultural non-point source pollution model, best management measures, redundancy analysis, etc., while domestic research on agricultural non-point source pollution mainly focused on agricultural non-point source pollution load, chemical fertilizer, artificial wetland, prevention and control countermeasures, etc. (3) Keyword co occurrence analysis based on cluster analysis found that biotechnology control of nitrogen and phosphorus pollution in farmland runoff, establishment of multiple models using GIS and other technologies, integration and optimization of models, determination of the best management measures economically and technically feasible, and identification of risk level and spatial distribution of source areas were the research frontiers in this field. In summary, forming a multi-disciplinary and multi field cross integration development model is of great significance to the field of agricultural non-point source pollution prevention and control, as well as using agricultural non-point source pollution model and applying environment-friendly technology to promote agricultural sustainable development. At present, the research related to agricultural non-point source pollution is still in its development period, and so it is necessary to pay a great attention to the in-depth research and strengthen the cooperation between the author team staff and teams from different regions.
Key words:  agricultural non-point source pollution  visualization analysis  Bibliometrics  soil science  CiteSpace
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