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Risk assessment of triclosan released from sewage treatment plants in European rivers using a combination of risk quotient methodology and Monte Carlo simulation

机译:风险商方法与蒙特卡洛模拟相结合的方法对欧洲河流污水处理厂释放的三氯生进行了风险评估

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In this study a probabilistic risk assessment was applied to investigate the environmental risks for the European aquatic environment associated with triclosan (TCS) occurrence in treated wastewater. The concentrations of TCS in effluents of European Sewage Treatment Plants (STPs) were recorded through literature review, while tox-icity data was collected for three groups of aquatic organisms (algae, Daphnia magna and fish). The ratio of Measured Environmental Concentration (MEC) and Predicted No Effect Concentration (PNEC), expressed as a Risk Quotient (RQ), was calculated for risk characterization, while Monte Carlo simulation was applied to quantify the associated uncertainty. TCS monitoring data was available for 349 STPs located in 15 out of the 50 European countries. Its mean concentrations in STPs effluents ranged between 2.2 ng L~(-1) and 47,800 ng L~(-1). Higher TCS concentrations were observed in primarily treated wastewater; whereas no differences among countries or among secondary and tertiary effluents on the basis of the whole set of collected data were found. The 95th percentile of RQ for TCS was higher than 1 (in algae) for rivers with dilution factors (DFs) equal to or lower than 100, when the maximum concentration values were used, whereas the 95th percentile of RQ exceeded 1 for rivers with DFs up to 10, in cases where the calculations were based on mean concentration values. The probability that RQ exceeds 1 in rivers (for algae) ranged from 0.2% (DF = 1000) to 45% (DF = 2), when calculations are based on mean concentration values. The corresponding probabilities in rivers with DFs equal to 2 for Daphnia magna and fish were 0.7% and 0.4%, respectively. We propose that TCS monitoring should be intensified, especially on smaller rivers, to verify the findings of this study for possible environmental risks.
机译:在这项研究中,采用了概率风险评估来调查与处理后废水中三氯生(TCS)发生有关的欧洲水生环境的环境风险。通过文献综述记录了欧洲污水处理厂(STPs)废水中TCS的浓度,同时收集了三类水生生物(藻类,大水蚤和鱼类)的毒性数据。计算表示为风险商(RQ)的实测环境浓度(MEC)与预测无效应浓度(PNEC)之比,以进行风险表征,同时使用蒙特卡洛模拟法对相关不确定性进行量化。在50个欧洲国家中的15个国家中,有349个STP可获得TCS监测数据。在污水处理厂废水中的平均浓度在2.2 ng L〜(-1)和47,800 ng L〜(-1)之间。在经过初步处理的废水中,TCS浓度更高。而在整个收集数据的基础上,没有发现国家之间或二级和三级废水之间的差异。当使用最大浓度值时,TCS的RQ的95%百分含量(DFs)等于或小于100的河流高于1(在藻类中),而DF的河流的RQ的95%百分数超过1。如果计算基于平均浓度值,则最多为10。当计算基于平均浓度值时,河流(藻类)中RQ超过1的概率在0.2%(DF = 1000)到45%(DF = 2)之间。大型蚤和鱼类在DF等于2的河流中的相应概率分别为0.7%和0.4%。我们建议应加强TCS监测,尤其是在较小的河流上,以验证本研究的结果是否可能存在环境风险。

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