Department of Biology, University of Waterloo, Waterloo N2L 3G1, ON, Canada.
Department of Civil and Environmental Engineering, University of Waterloo, ON N2L 3G1, Canada.
Sci Total Environ. 2018 Jan 1;610-611:1103-1112. doi: 10.1016/j.scitotenv.2017.08.171. Epub 2017 Aug 30.
In this study, the estrogenicity of two major wastewater treatment plant (WWTP) effluents located in the central reaches of the Grand River watershed in southern Ontario was estimated using population demographics, excretion rates, and treatment plant-specific removals. Due to the lack of data on estrogen concentrations from direct measurements at WWTPs, the treatment efficiencies through the plants were estimated using the information obtained from an effects-directed analysis. The results show that this approach could effectively estimate the estrogenicity of WWTP effluents, both before and after major infrastructure upgrades were made at the Kitchener WWTP. The model was then applied to several possible future scenarios including population growth and river low flow conditions. The scenario analyses showed that post-upgrade operation of the Kitchener WWTP will not release highly estrogenic effluent under the 2041 projected population increase (36%) or summer low flows. Similarly, the Waterloo WWTP treatment operation is also expected to improve once the upgrades have been fully implemented and is expected to effectively treat estrogens even under extreme scenarios of population growth and river flows. The developed model may be employed to support decision making on wastewater management strategies designed for environmental protection, especially on reducing the endocrine effects in fish exposed to WWTP effluents.
在这项研究中,使用人口统计学、排泄率和特定处理厂的去除率来估计安大略省格兰德河中游两个主要污水处理厂(WWTP)废水中的雌激素。由于缺乏直接测量 WWTP 中雌激素浓度的数据,因此通过从定向效应分析中获得的信息来估计处理厂的处理效率。结果表明,该方法可以有效地估计 WWTP 废水的雌激素,包括在基奇纳 WWTP 进行重大基础设施升级之前和之后。然后将该模型应用于几种可能的未来情景,包括人口增长和河流低流量情况。情景分析表明,基奇纳 WWTP 的升级后运行将不会在 2041 年预计人口增长(36%)或夏季低流量下释放高雌激素废水。同样,一旦升级完成,滑铁卢 WWTP 的处理操作预计也会得到改善,并且即使在人口增长和河流流量的极端情况下,预计也能有效地处理雌激素。所开发的模型可用于支持旨在保护环境的废水管理策略的决策制定,特别是在减少暴露于 WWTP 废水中的鱼类的内分泌影响方面。