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首页> 外文期刊>Environmental Science & Technology >A High-Resolution Spatial Model to Predict Exposure to Pharmaceuticals in European Surface Waters: ePiE
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A High-Resolution Spatial Model to Predict Exposure to Pharmaceuticals in European Surface Waters: ePiE

机译：预测欧洲地表水中药物暴露的高分辨率空间模型：ePiE

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摘要

Environmental risk assessment of pharmaceuticals requires the determination of their environmental exposure concentrations. Existing exposure modeling approaches are often computationally demanding, require extensive data collection and processing efforts, have a limited spatial resolution, and have undergone limited evaluation against monitoring data. Here, we present ePiE (exposure to Pharmaceuticals in the Environment), a spatially explicit model calculating concentrations of active pharmaceutical ingredients (APIs) in surface waters across Europe at similar to 1 km resolution. ePiE strikes a balance between generating data on exposure at high spatial resolution while having limited computational and data requirements. Comparison of model predictions with measured concentrations of a diverse set of 35 APIs in the river Ouse (UK) and Rhine basins (North West Europe), showed around 95% were within an order of magnitude. Improved predictions were obtained for the river Ouse basin (95% within a factor of 6; 55% within a factor of 2), where reliable consumption data were available and the monitoring study design was coherent with the model outputs. Application of ePiE in a prioritisation exercise for the Ouse basin identified metformin, gabapentin, and acetaminophen as priority when based on predicted exposure concentrations. After incorporation of toxic potency, this changed to desvenlafaxine, loratadine, and hydrocodone.
机译：药物的环境风险评估需要确定其环境暴露浓度。现有的曝光建模方法通常在计算上要求很高，需要大量的数据收集和处理工作，空间分辨率有限，并且对监视数据的评估也很有限。在这里，我们介绍了ePiE（环境中的药物暴露），这是一个空间显式模型，用于计算整个欧洲地表水中活性药物成分（API）的浓度，分辨率约为1 km。 ePiE在高空间分辨率的曝光数据生成与有限的计算和数据需求之间取得了平衡。将模型预测与在Ouse河（英国）和莱茵河流域（西北欧）中测量的35种API的不同浓度进行的比较表明，约有95％在一个数量级内。对Ouse流域的预测得到了改进（95％的因子在6的范围内； 55％的因子在2的因子内），那里有可靠的消耗量数据，并且监测研究设计与模型输出相一致。基于预测的暴露浓度，ePiE在Ouse盆地的优先排序活动中的应用将二甲双胍，加巴喷丁和对乙酰氨基酚列为优先事项。合并有毒性的药后，将其改为去甲文拉法辛，氯雷他定和氢可酮。

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