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首页> 外文期刊>Environmental Science & Technology >Impact of in-Sewer Degradation of Pharmaceutical and Personal Care Products (PPCPs) Population Markers on a Population Model
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Impact of in-Sewer Degradation of Pharmaceutical and Personal Care Products (PPCPs) Population Markers on a Population Model

机译：污水处理厂对药品和个人护理产品（PPCP）人口指标的降解对人口模型的影响

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摘要

A key uncertainty of wastewater-based epidemiology is the size of the population which contributed to a given wastewater sample. We previously developed and validated a Bayesian inference model to estimate population size based on 14 population markers which: (l) are easily measured and (2) have mass loads which correlate with population size. However, the potential uncertainty of the model prediction due to in-sewer degradation of these markers was not evaluated. In this study, we addressed this gap by testing their stability under sewer conditions and assessed whether degradation impacts the model estimates. Five markers, which formed the core of our model, were stable in the sewers while the others were not. Our evaluation showed that the presence of unstable population markers in the model did not decrease the precision of the population estimates providing that stable markers such as acesulfame remained in the model. However, to achieve the minimum uncertainty in population estimates, we propose that the core markers to be included in population models for other sites should meet two additional criteria: (3) negligible degradation in wastewater to ensure the stability of chemicals during collection; and (4) < 10% in-sewer degradation could occur during the mean residence time of the sewer network.
机译：基于废水的流行病学的主要不确定性是造成给定废水样本的人口规模。我们先前开发并验证了贝叶斯推断模型，该模型基于14个人口标记来估计人口规模，这些标记：（1）易于测量，（2）具有与人口规模相关的质量负荷。但是，未评估由于这些标记在室内的退化而导致的模型预测的潜在不确定性。在这项研究中，我们通过测试它们在下水道条件下的稳定性来解决这一差距，并评估退化是否会影响模型估计。构成我们模型核心的五个标记在下水道中保持稳定，而其他标记则不稳定。我们的评估表明，只要模型中保留了稳定的标记物（如乙酰磺胺酸），模型中存在不稳定的种群标记物不会降低种群估计的准确性。但是，为了使人口估计数的不确定性最小，我们建议要纳入其他站点的人口模型的核心指标应满足两个附加标准：（3）废水中的降解可忽略不计，以确保收集过程中化学品的稳定性； （4）在下水道网络的平均停留时间内，下水道内的退化可能发生<10％。

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  • 来源
    《Environmental Science & Technology》 |2017年第7期|3816-3823|共8页
  • 作者

    Jake William OBrien; Andrew Phillip William Banks; Andrew Joseph Novic; Jochen F. Mueller; Guangming Jiang; Christoph Ort; Geoff Eaglesham; Zhiguo Yuan; Phong K. Thai;

  • 作者单位

    Queensland Alliance for Environmental Health Science (QAEHS), The University of Queensland, 39 Kessels Road, Coopers Plains, Queensland 4108, Australia;

    Queensland Alliance for Environmental Health Science (QAEHS), The University of Queensland, 39 Kessels Road, Coopers Plains, Queensland 4108, Australia;

    Queensland Alliance for Environmental Health Science (QAEHS), The University of Queensland, 39 Kessels Road, Coopers Plains, Queensland 4108, Australia;

    Queensland Alliance for Environmental Health Science (QAEHS), The University of Queensland, 39 Kessels Road, Coopers Plains, Queensland 4108, Australia;

    Advanced Water Management Centre (AWMC), The University of Queensland, St. Lucia, Queensland 4072, Australia;

    Eawag, Swiss Federal Institute of Aquatic Science and Technology, CH 8600 Dübendorf, Switzerland;

    Queensland Alliance for Environmental Health Science (QAEHS), The University of Queensland, 39 Kessels Road, Coopers Plains, Queensland 4108, Australia;

    Advanced Water Management Centre (AWMC), The University of Queensland, St. Lucia, Queensland 4072, Australia;

    Queensland Alliance for Environmental Health Science (QAEHS), The University of Queensland, 39 Kessels Road, Coopers Plains, Queensland 4108, Australia,International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Queensland 4001, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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