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首页> 外文期刊>Environmental Pollution >Screening ecological risk of pesticides and emerging contaminants under data limited conditions - Case study modeling urban and agricultural watersheds with OrganoFate
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Screening ecological risk of pesticides and emerging contaminants under data limited conditions - Case study modeling urban and agricultural watersheds with OrganoFate

机译:数据有限条件下筛选农药和新兴污染物的生态风险 - 案例研究建模城市和农业流域用细胞缺陷

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摘要

The increasing number of chemicals used by society requires accessible, easy to implement tools to perform screening-level ecological risk assessments. However, field data to calibrate and validate screening tools is challenging to obtain for many watersheds. Thus, the evaluation must be done under data limited conditions. Here we employ a fate and transport model, OrganoFate, to predict environmental concentrations of contaminants of emerging concern (CECs) as well as a number of pesticides. CECs evaluated include antibacterial compounds sulfamethoxazole and triclocarban and a flame-retardant tris(1,3-dichloro-2-propyl)phosphate (TDCPP). We also evaluated widely used pesticides chlorpyrifos, bifenthrin and esfenvalerate. We predict concentrations of the contaminants in high-risk watersheds which were dominated by either urban or agricultural development and have small aquatic compartments. Screening-level predictions were in good agreement with observed concentrations in surface water and sediment. Maximum predicted concentrations were close to the highest observed concentrations for CECs, only -0.1 mu g/L greater for sulfamethoxazole and triclocarban concentrations, and for TDCPP 5 mu g/L higher. ChemFate was also employed to screen possible aquatic health impacts. Results demonstrated possible CEC aquatic health risk for TDCPP and triclocarban (risk quotients of 0.9 and 1.1 respectively). For pesticides, exceedance of effect (EC50) and lethal (LC50) endpoints was predicted for various taxonomic groups which include aquatic invertebrates, fish, amphibians, and benthic organisms.
机译:社会使用的化学品越来越多的化学物质需要访问,易于实施工具,以进行筛查级生态风险评估。但是,要校准和验证筛选工具的现场数据是具有挑战性的,以获得许多分水岭。因此,必须在数据有限的条件下进行评估。在这里,我们采用了一个命运和运输模型,细胞ofate,预测新出现关注(CEC)的污染物的环境浓度以及许多农药。评价的CEC包括硫氨甲恶唑和三氯甲苯胺和磷酸阻燃三(1,3-二氯-2-丙基)(TDCPP)的抗菌化合物。我们还评估了广泛使用的杀虫剂氯吡啶,Bifenthrin和Esfenvalerate。我们预测以城市或农业发展为主导的高风险流域污染物的浓度,并具有小型水上舱。筛选级别预测与观察到的地表水和沉积物中的浓度很好。最大预测浓度接近CEC的最高观察到的浓度,对于磺胺甲恶唑和TricloCarban浓度仅为-0.1μg/ l,并​​且对于Tdcpp&5μg/ l更高。化学物质还用于筛选可能的水生效果。结果表明TDCPP和TRICLOCARBAN的CEC水生健康风险(分别为0.9和1.1的风险报价)。对于杀虫剂,对各种分类群(EC50)和致死(LC50)终点预测了包括水生无脊椎动物,鱼类,两栖动物和底栖生物的各种分类群。

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