应用被动取样装置,以探索药品和农药在地表水中的发生,分布和风险
Xinzhi Yu1, Yaqi Wang1, Peter Watson2
1Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
The Science of the total environment
|November 14, 2023
概括
这项研究使用了一种新型的被动采样仪在南京河流中检测药品和农药. 抗生素和杀虫剂普遍存在,高度的特定化合物表明潜在的污染源和处理效率低下.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 水质监测 水质监测
背景情况:
- 药品和农药是全球地表水污染物.
- 对于在自然水中检测这些污染物而言,被动采样方法尚未得到充分利用.
研究的目的:
- 在南京河流中选和量化药品和农药,使用自主开发的被动采样器.
- 确定主要的污染物类别和特定化合物.
- 评估污染源和水资源管理战略的有效性.
主要方法:
- 在中国南京的河流中部署自主开发的被动采样器.
- 对检测到的药品和农药进行分析,按类别分类.
- 计算度比率以推断污染源和处理效率.
主要成果:
- 检测出41种药品和11种农药,其中抗生素和杀虫剂占主导地位.
- 经常检测到高度的烯酸,咖啡因,三香,异糖和伊米达克洛普里德.
- 高咖啡因与卡巴马西平的比例表明污水处理问题或污水排放.
- 长江北部地区的污染物水平较高,与经济或人口密度无关.
- 青河下游污染物度不断增加,这表明一个水分转移项目的污染物冲洗成功.
结论:
- 被动采样对于监测复杂的水矩阵是有效的.
- 污水处理效率低下和潜在的直接污水排放是严重的问题.
- 污染分布受到经济发展和人口密度以外的因素的影响.
- 转水项目可以帮助缓解通过冲洗的污染物负载.
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