ACES - Department of Environmental Science and Analytical Chemistry, Stockholm University, SE-10691 Stockholm, Sweden.
Mermayde, Groet, the Netherlands.
Chemosphere. 2019 Apr;220:344-352. doi: 10.1016/j.chemosphere.2018.12.118. Epub 2018 Dec 17.
Surface water concentrations of 54 pharmaceuticals were predicted for seven major Swedish rivers and the Stockholm City area basins using the STREAM-EU model. These surface water concentrations were used to predict the ecotoxicological impact resulting from the exposure of aquatic organisms to this mixture of 54 pharmaceuticals. STREAM-EU model results indicated that <10 substances were present at median annual water concentrations greater than 10 ng/L with highest concentrations occurring mostly in the more densely populated area of the capital city, Stockholm. There was considerable spatial and temporal variability in the model predictions (1-3 orders of magnitude) due to natural variability (e.g. hydrology, temperature), variations in emissions and uncertainty sources. Local mixture ecotoxicological pressures based on acute EC50 data as well as on chronic NOEC data, expressed as multi-substance potentially affected fraction of species (msPAF), were quantified in 114 separate locations in the waterbodies. It was estimated that 5% of the exposed aquatic species would experience exposure at or above their acute EC50 concentrations (so-called acute hazardous concentration for 5% of species, or aHC5) at only 7% of the locations analyzed (8 out of 114 locations). For the evaluation based on chronic NOEC concentrations, the chronic HC5 (cHC5) is exceeded at 27% of the locations. The acute mixture toxic pressure was estimated to be predominantly caused by only three substances in all waterbodies: Furosemide, Tramadol and Ibuprofen. A similar evaluation of chronic toxic pressure evaluation logically demonstrates that more substances play a significant role in causing a higher chronic toxic pressure at more sites as compared to the acute toxic pressure evaluation. In addition to the three substances contributing most to acute effects, the chronic effects are predominantly caused by another five substances: paracetamol, diclofenac, ethinylestradiol, erythromycin and ciprofloxacin. This study provides regulatory authorities and companies responsible for water quality valuable information for targeting remediation measures and monitoring on a substance and location basis.
使用 STREAM-EU 模型预测了瑞典 7 条主要河流和斯德哥尔摩市区流域的 54 种药物的地表水浓度。这些地表水浓度用于预测由于水生生物暴露于 54 种药物混合物而产生的生态毒理学影响。STREAM-EU 模型结果表明,在年平均水浓度大于 10ng/L 的中位数中,<10 种物质存在,最高浓度主要出现在首都斯德哥尔摩人口更为密集的地区。由于自然变异性(如水文、温度)、排放和不确定性源的变化,模型预测存在相当大的空间和时间变异性(1-3 个数量级)。基于急性 EC50 数据和慢性 NOEC 数据(表示为多物种潜在受影响分数,msPAF),在水体的 114 个单独位置量化了局部混合生态毒理学压力。据估计,在仅 7%的分析地点(114 个地点中的 8 个),5%的暴露水生物种将经历其急性 EC50 浓度或更高浓度的暴露(即所谓的 5%物种急性危险浓度,aHC5)。对于基于慢性 NOEC 浓度的评估,在 27%的地点超过了慢性 HC5(cHC5)。在所有水体中,急性混合物毒性压力估计主要由三种物质引起:呋塞米、曲马多和布洛芬。类似的慢性毒性压力评估逻辑上表明,与急性毒性压力评估相比,更多物质在更多地点导致更高的慢性毒性压力中发挥了重要作用。除了对急性效应贡献最大的三种物质外,慢性效应主要由另外五种物质引起:对乙酰氨基酚、双氯芬酸、炔雌醇、红霉素和环丙沙星。本研究为负责水质的监管机构和公司提供了有价值的信息,以便有针对性地采取补救措施,并根据物质和地点进行监测。