Research Progress and Trend of Agricultural Non-Point Source Pollution from Non-Irrigated Farming Based on Bibliometrics

文献类型： 外文期刊

第一作者： Liu, Dan

作者： Liu, Dan;Xiong, Chunmei;Nie, Qingyu;Yao, Zhongkai;Yang, Xiaoxia

作者机构： Chongqing Three Gorges Vocat Coll, Dept Agr & Forestry Sci & Technol, Chongqing 404100, Peoples R China;Chongqing Three Georges Univ, Key Lab Water Environm Evolut & Pollut Control Thr, Chongqing 404100, Peoples R China;Chongqing Acad Agr Sci, Inst Agr Qual Stand & Testing Technol, Chongqing 401329, Peoples R China

关键词： agricultural non-point source; bibliometrics; research hotpots; development trend; non-irrigated farming

期刊名称：WATER （ 2023影响因子：3.0； 五年影响因子：3.3 ）

ISSN：

年卷期： 2023 年 15 卷 8 期

页码：

收录情况： SCI

摘要： The agricultural non-point source (NPS) pollution caused by non-irrigated farming, such as heavy metals, nitrogen and phosphorus, has posed an extreme threat to the security of agricultural product quality and watershed ecology. Thus, it is urgent to sort out the latest research progress and future development trend to effectively guide future scientific research and technological updates in this field. This study integrates the relevant literature of the Web of Science from 1976 to 2021 and analyzes the research hotspots and development trends in the field of agricultural NPS pollution from non-irrigated farming in combination with CiteSpace. The results showed that the proportion of publications from the United States and China accounted for 58.4%. Science of the Total Environment, Water Science and Technology and Journal of the American Water Resources Association were the most published journals. The research topics and hotspots mainly involve agricultural NPS pollution prevention technology, pollution source identification, pollution load and management and landscape pattern evolution. In the future, agricultural NPS pollution research in non-irrigated farming should combine agricultural big data platforms, spectroscopic methods, artificial intelligence technology, etc. and focus on strengthening soil testing formula fertilization management, the efficient use of livestock and poultry breeding manure, climate change and risk early warning.

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