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Multi-year prediction of estrogenicity in municipal wastewater effluents

机译:市政废水中雌激素的多年预测

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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.
机译:在这项研究中,使用人口统计数据,排泄率和处理厂特定清除量估算了位于安大略省南部大河流域中游的两种主要废水处理厂(WWTP)的雌激素性。由于缺乏从污水处理厂直接测量得到的有关雌激素浓度的数据,因此使用从效果导向分析中获得的信息来估算植物的处理效率。结果表明,在Kitchener WWTP进行重大基础设施升级之前和之后,这种方法可以有效地估算WWTP废水的雌激素性。然后将该模型应用于包括人口增长和河流低流量条件在内的几种可能的未来情况。情景分析表明,在2041年预计的人口增长(36%)或夏季流量低的情况下,Kitchener污水处理厂的升级后运营将不会释放出高雌激素性污水。同样,一旦升级完全实施,滑铁卢污水处理厂的处理操作也有望得到改善,即使在人口增长和河流流量极端的情况下,也有望有效地处理雌激素。开发的模型可用于支持为环境保护而设计的废水管理策略的决策,尤其是在减少暴露于污水处理厂废水中的鱼的内分泌影响方面。

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