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Modeling the loading and fate of estrogens in wastewater treatment plants

机译：模拟废水处理厂中雌激素的负载和命运

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Endocrine-disrupting compounds may produce infertility, nervous system disorders, and improper functioning of the immune system in humans and wildlife. Estrogens are classified as the most potent and common endocrine-disrupting compounds and the major point source for estrogen is municipal wastewater. Monitoring of estrogen is challenging, expensive, and intermittent; and therefore, the focus of this work is modeling estrone, 17β-estradiol, and 17α-ethynylestradiol concentrations from wastewater treatment plants in Calgary and Edmonton, Alberta, and Brandon, Manitoba. Demographic groups, excretion rates, population estimates, average daily flows, calculated estrogen transformation, calibration, calculated influent-to-effluent reduction percentages, and a treatment unit removal matrix are used to determine loading estimations of estrogen. Predicted average concentrations for EE 2 and E 2 in all the study sites exceed the threshold concentrations that could induce vitellogenin production by order of 13 and 2.3, respectively. The results demonstrate reasonable accuracy against previous measurements with r ~(2) values ranging from 0.79 to 0.99 and RMSE values ranging from 0.5 to 9.4?ng/l and findings are consistent with concentrations reported in the literature. Upon further calibration with additional local data, the model may be used as a risk assessment analysis tool for these contaminants of concern.
机译：破坏内分泌的化合物可能在人类和野生动植物中产生不育症，神经系统疾病和免疫系统功能异常。雌激素被列为最有效和最常见的破坏内分泌的化合物，雌激素的主要来源是市政废水。雌激素的监测具有挑战性，昂贵且间歇性;因此，这项工作的重点是对阿尔伯塔省卡尔加里和埃德蒙顿以及曼尼托巴省布兰登的废水处理厂中的雌酮，17β-雌二醇和17α-乙炔基雌二醇浓度进行建模。人口统计学特征，排泄率，人口估计值，平均每日流量，计算出的雌激素转化率，校准值，计算出的进水到出水减少百分比以及治疗单位去除矩阵可用于确定雌激素的负荷估计值。在所有研究地点中，预测的 EE 2和 E 2平均浓度均超过可诱发卵黄蛋白原生成的阈值浓度，分别为13和2.3量级。结果表明，相对于先前的测量结果，r（2）值在0.79至0.99ng / s范围内，RMSE值在0.5至9.4ngng / l范围内具有合理的准确性，其发现与文献报道的浓度一致。在使用其他本地数据进行进一步校准后，该模型可用作这些所关注污染物的风险评估分析工具。

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