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Evaluation of Simple Treat 3.0 for two hydrophobic and slowly biodegradable chemicals: polycyclic musks HHCB and AHTN

机译:对两种疏水且可缓慢降解的化学物质:多环麝香HHCB和AHTN的Simple Treat 3.0进行评估

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In the current study, predictions by Simple Treat 3.0, a fate model for organic chemicals in sewage treatment plants (STPs), are compared with actual measurements in three STPs. Two polycyclic musks, Tonalide~(~R) (AHTN) and Galaxolide~(~R) (HHCB), were used for model evaluation. Results show that Simple Treat 3.0 is able to predict the removal efficiency within a factor 4. Predicted concentrations of both chemicals within the different physical compartments of STPs show a high correlation (r~2 = 0.80) with experimental values. Although predicted free concentration levels were similar to previously reported experimental data, the trends along the compartments showed an inverse relationship. This bias of the model can be caused by an underestimation of BOD-removal (solids), or an overestimation of bacterial growth, evaporation, or a combination of these three factors. Results show that Simple Treat 3.0 is a valid tool for the risk assessment of slowly biodegradable chemicals, but still some adjustments of the model could be incorporated from a scientific point of view.
机译:在当前的研究中,将污水处理厂(STP)中有机化学品的归宿模型Simple Treat 3.0的预测与三个STP中的实际测量值进行了比较。模型评估使用了两个多环麝香,即Tonalide〜(〜R)(AHTN)和Galaxolide〜(〜R)(HHCB)。结果表明,Simple Treat 3.0能够预测因子4的去除效率。STP的不同物理区室中两种化学物质的预测浓度与实验值具有高度相关性(r〜2 = 0.80)。尽管预测的游离浓度水平与先前报道的实验数据相似,但沿隔室的趋势却显示出相反的关系。模型的这种偏差可能是由于对BOD去除量(固体)的低估或对细菌生长,蒸发或这三个因素的组合的高估所致。结果表明,Simple Treat 3.0是用于缓慢生物降解化学品风险评估的有效工具,但是从科学的角度来看,仍可以对模型进行一些调整。

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