Fate of β-blocker human pharmaceuticals in surface water: Comparison of measured and simulated concentrations in the Glatt Valley Watershed, Switzerland
Fate of β-blocker human pharmaceuticals in surface water: Comparison of measured and simulated concentrations in the Glatt Valley Watershed, Switzerland
复制标题
DOI：
10.1016/j.watres.2009.10.002
复制
发表时间：
2010-02-01
期刊：
影响因子：
12.8
通讯作者：
Fenner, Kathrin
中科院分区：
文献类型：
--
作者：
Alder, Alfredo C.;Schaffner, Christian;Fenner, Kathrin
本研究着重于四种β受体阻滞剂（阿替洛尔、索他洛尔、美托洛尔、普萘洛尔）在废水和地表水中的发生和归宿。使用Glatt Valley流域（瑞士）地理参照模型GREAT-ER，将测量浓度与预测浓度进行了比较。特别是，解决了测量和模拟数据如何相互补充的问题，为人类药物和其他微污染物通过污水处理厂进入地表水的暴露评估。在高流量条件下，结合下水道溢流事件，测量了更高的负荷。GREAT-ER能够根据平均消耗和排泄数据预测空间分辨的河流浓度，在污水处理厂（WWTPs）中的去除，以及地表水中的耗散和降解过程。这些结果表明，建模可能足以估计化合物的日平均接触浓度，这些化合物要么是柠檬酸盐，要么其降解和吸附行为可以根据实验室实验有把握地预测。相反，化学测量应保留用于评估点源，调查导致复合负荷短期波动的机制，并结合建模确定现场降解率。(c)2009爱思唯尔有限公司版权所有。
This study focused on the occurrence and fate of four beta-blockers (atenolol, sotalol, metoprolol, propranolol) in wastewater and surface water. Measured concentrations were compared with predicted concentrations using an implementation of the geo-referenced model GREAT-ER for the Glatt Valley Watershed (Switzerland). Particularly, the question was addressed how measured and simulated data could complement each other for the exposure assessment of human pharmaceuticals and other micropollutants entering surface water through wastewater treatment plants (WWTP).Concentrations in the Glatt River ranged from < LOQ to 83 ng L-1 with the highest concentrations found for atenolol. Higher loads were measured on days with combined sewer over-flow events during high flow conditions.GREAT-ER was able to predict spatially resolved river concentrations based, on average consumption and excretion data, removal in wastewater treatment plants (WWTPs) and dissipation and degradation processes in surface water within a factor of 2. These results indicate that modelling might be sufficient to estimate daily average exposure concentrations for compounds that are either recalcitrant or whose degradation and sorption behaviour can be predicted with confidence based on laboratory experiments. Chemical measurements, in contrast, should be reserved for assessing point sources, investigating mechanisms which lead to short-term temporal fluctuations in compound loads, and deter-mining in-situ degradation rates in conjunction with modelling. (c) 2009 Elsevier Ltd. All rights reserved.