Suppr超能文献

废水处理与新兴污染物:文献计量分析

Wastewater treatment and emerging contaminants: Bibliometric analysis.

作者信息

Chen Yixia, Lin Mingwei, Zhuang Dan

机构信息

College of Computer and Cyber Security, Fujian Normal University, Fuzhou, Fujian, 350117, China; Digital Fujian Internet-of-Things Laboratory of Environmental Monitoring, Fujian Normal University, Fuzhou, Fujian, 350117, China.

Digital Fujian Internet-of-Things Laboratory of Environmental Monitoring, Fujian Normal University, Fuzhou, Fujian, 350117, China.

出版信息

Chemosphere. 2022 Jun;297:133932. doi: 10.1016/j.chemosphere.2022.133932. Epub 2022 Feb 8.

Abstract

In recent years, emerging contaminants have been found in the wastewater, surface water, and even drinking water, which should be treated to ensure the safety of our living environment. In this study, we provide a comprehensive summary of wastewater treatment and emerging contaminants research from 1998 to 2021 by using the bibliometric analysis. This study is conducted based on the Web of Science Core Collection Database. The bibliometix R-package, VOSviewer and CiteSpace software are used for bibliometric analysis and science mapping. A dataset of 10, 605 publications has been retrieved. The analysis results show that China has produced the most publications. China and the United States have the closest cooperation. Analysis of the most cited papers reveals that the purification or removal techniques such as ozonation or membrane filtration can effectively remove pharmaceutical compounds from the water environment. We also found that the efficient detection of emerging contaminants and the optimization of removal methods are current challenges. Finally, future research directions are discussed.

摘要

近年来,在废水、地表水甚至饮用水中都发现了新兴污染物,应对其进行处理以确保我们生活环境的安全。在本研究中,我们通过文献计量分析对1998年至2021年的废水处理和新兴污染物研究进行了全面总结。本研究基于科学网核心合集数据库开展。使用bibliometix R包、VOSviewer和CiteSpace软件进行文献计量分析和科学制图。已检索到一个包含10605篇出版物的数据集。分析结果表明,中国发表的论文数量最多。中国和美国的合作最为密切。对被引频次最高的论文的分析表明,诸如臭氧化或膜过滤等净化或去除技术可以有效去除水环境中的药物化合物。我们还发现,新兴污染物的高效检测和去除方法的优化是当前面临的挑战。最后,讨论了未来的研究方向。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验