Occurrence and in-stream attenuation of wastewater-derived pharmaceuticals in Iberian rivers

Occurrence and in-stream attenuation of wastewater-derived pharmaceuticals in Iberian rivers
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DOI:
10.1016/j.scitotenv.2014.05.067
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发表时间:
2015-01-15
影响因子:
9.8
通讯作者:
Sabater, Sergi
Sabater, Sergi
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Acuna, Vicenc;von Schiller, Daniel;Sabater, Sergi

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大量药物通过废水处理厂的排放进入地表沃茨,许多药物引起了环境和健康问题。化学归宿模型使用质量负荷、稀释和流内衰减的估计值来预测其浓度。然而,目前对衰减率的理解仍然是预测模型的限制因素。我们评估了4个河段的75种药物的流内衰减,旨在表征不同药物化合物之间以及环境条件不同的河段之间的流内衰减变异性。我们的研究表明,在流衰减是高度可变的药物和河段,没有考虑药物的理化和分子特性证明是相关的,在确定平均衰减率。相反,辛醇-水分配系数(K-ow)的影响,各河段之间的变化率,可能是由于其吸附沉积物和悬浮颗粒的影响,因此影响不同的衰减机制(生物转化,光解,吸附和挥发)之间的平衡。测量到的衰减率的大小促使科学家在预测淡水生态系统中的浓度时将其视为与稀释一样重要。(C)2014爱思唯尔有限公司版权所有。
A multitude of pharmaceuticals enter surface waters via discharges of wastewater treatment plants (WWTPs), and many raise environmental and health concerns. Chemical fate models predict their concentrations using estimates of mass loading, dilution and in-stream attenuation. However, current comprehension of the attenuation rates remains a limiting factor for predictive models. We assessed in-stream attenuation of 75 pharmaceuticals in 4 river segments, aiming to characterize in-stream attenuation variability among different pharmaceutical compounds, as well as among river segments differing in environmental conditions. Our study revealed that in-stream attenuation was highly variable among pharmaceuticals and river segments and that none of the considered pharmaceutical physicochemical and molecular properties proved to be relevant in determining the mean attenuation rates. Instead, the octanol-water partition coefficient (K-ow) influenced the variability of rates among river segments, likely due to its effect on sorption to sediments and suspended particles, and therefore influencing the balance between the different attenuation mechanisms (biotransformation, photolysis, sorption, and volatilization). The magnitude of the measured attenuation rates urges scientists to consider them as important as dilution when aiming to predict concentrations in freshwater ecosystems. (C) 2014 Elsevier B.V. All rights reserved.