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澳大利亚河流向大堡礁排放的农药混合物风险评估。

Risk Assessment of Pesticide Mixtures in Australian Rivers Discharging to the Great Barrier Reef.

机构信息

Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg 40530, Sweden.

Curtin University, Perth, Western Australia 6845, Australia.

出版信息

Environ Sci Technol. 2020 Nov 17;54(22):14361-14371. doi: 10.1021/acs.est.0c04066. Epub 2020 Nov 2.

Abstract

Rivers discharging to the Great Barrier Reef carry complex pesticide mixtures. Here we present a first comprehensive ecotoxicological risk assessment using species sensitivity distributions (SSDs), explore how risk changes with time and land use, and identify the drivers of mixture risks. The analyzed data set comprises 50 different pesticides and pesticide metabolites that were analyzed in 3741 samples from 18 river and creek catchments between 2011 and 2016. Pesticide mixtures were present in 82% of the samples, with a maximum of 23 pesticides and a median of five compounds per sample. Chemical-analytical techniques were insufficiently sensitive for at least seven pesticides (metsulfuron-methyl, terbutryn, imidacloprid, clothianidin, ametryn, prometryn, and thiamethoxam). The classical mixture concepts of concentration addition and independent action were applied to the pesticide SSDs, focusing on environmental threshold values protective for 95% of the species. Both concepts produced almost identical risk estimates. Mixture risk was therefore finally assessed using concentration addition, as the sum of the individual risk quotients. The sum of risk quotients ranges between 0.05 and 122 with a median of 0.66. An ecotoxicological risk (i.e., a sum of individual risk quotients exceeding 1) was indicated in 38.5% of the samples. Sixteen compounds accounted for 99% of the risk, with diuron, imidacloprid, atrazine, metolachlor, and hexazinone being the most important risk drivers. Analysis of land-use patterns in catchment areas showed an association between sugar cane farming and elevated risk levels, driven by the presence of diuron.

摘要

排入大堡礁的河流携带复杂的农药混合物。在这里,我们使用物种敏感性分布 (SSD) 首次进行了全面的生态毒理学风险评估,探讨了风险随时间和土地利用的变化情况,并确定了混合物风险的驱动因素。分析的数据集中包含了 2011 年至 2016 年间从 18 条河流和小溪流域的 3741 个样本中分析得到的 50 种不同的农药和农药代谢物。82%的样本中存在农药混合物,最高有 23 种农药,中位数为每种样本 5 种化合物。化学分析技术对至少 7 种农药(甲磺隆、特丁津、氯吡虫啉、噻虫啉、莠去津、扑灭津和噻虫嗪)的检测灵敏度不够。本研究将经典的混合物概念浓度加和和独立作用应用于农药 SSD,重点关注对 95%物种具有保护作用的环境阈值。这两个概念产生了几乎相同的风险估计值。因此,最终使用浓度加和(即个体风险比率之和)来评估混合物风险。风险比率的总和范围在 0.05 至 122 之间,中位数为 0.66。38.5%的样本显示出生态毒理学风险(即个体风险比率之和超过 1)。有 16 种化合物占风险的 99%,其中敌草隆、氯吡虫啉、莠去津、甲草胺和六嗪酮是最重要的风险驱动因素。对集水区土地利用模式的分析表明,甘蔗种植与风险水平升高之间存在关联,这是由敌草隆的存在所驱动的。

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