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与大湖流域土地利用相关的农药。

Pesticides related to land use in watersheds of the Great Lakes basin.

机构信息

Water Quality Centre, Trent University, Peterborough, ON, Canada.

Ontario Ministry of Environment and Climate Change, Toronto, ON, Canada.

出版信息

Sci Total Environ. 2019 Jan 15;648:681-692. doi: 10.1016/j.scitotenv.2018.08.169. Epub 2018 Aug 16.

Abstract

In this study, we evaluated the distribution and concentrations of a range of neonicotinoid insecticides (NNIs) and other insecticides, fungicides, biocides and selected herbicides in watersheds that drain into the lower Great Lakes in Ontario, Canada. Polar Organic Chemical Integrative Samplers (POCIS) were deployed in 18 watersheds during late May to late June of 2016. Grab samples were also collected in 7 of these watersheds. There was generally good agreement between the time-weighted average concentrations of pesticides estimated from the POCIS and the concentrations detected in grab samples. The NNIs, thiamethoxam, clothianidin and imidacloprid, were present in several watersheds at concentrations that exceeded the Canadian Water Quality Guideline for imidacloprid of 0.23 μg/L. The new generation insecticides, flonicamid and flupyradifurone were also detected in some watersheds, which is the first report of these pesticides in the peer-reviewed literature. Atrazine, 2,4-D, dicamba, carbendazim, thiophanate methyl and several azole-based fungicides were also widely detected. Discriminant Function Analysis (DFA) indicated that a high proportion (i.e. >80%) of the watersheds could be discriminated from each other on the basis of the pattern of pesticides detected in surface waters, and the proportion of field crops in the watershed.

摘要

在这项研究中,我们评估了在加拿大安大略省流入下五大湖的流域中,一系列新烟碱类杀虫剂(NNIs)和其他杀虫剂、杀真菌剂、杀生剂和选定的除草剂的分布和浓度。在 2016 年 5 月下旬至 6 月下旬期间,在 18 个流域中部署了极性有机化学综合采样器(POCIS)。在其中 7 个流域中还采集了抓样。POCIS 估算的农药时间加权平均浓度与抓样检测到的浓度之间通常具有良好的一致性。新烟碱类杀虫剂噻虫嗪、噻虫胺和吡虫啉在几个流域中的浓度超过了加拿大 0.23μg/L 的吡虫啉水质指南。新一代杀虫剂氟啶虫酰胺和氟吡呋喃酮也在一些流域中被检测到,这是这些农药在同行评审文献中的首次报道。阿特拉津、2,4-D、麦草畏、苯菌灵、噻菌灵和几种唑类杀真菌剂也被广泛检测到。判别函数分析(DFA)表明,基于地表水中检测到的农药模式以及流域中大田作物的比例,很大一部分(即>80%)流域可以相互区分。

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