Suppr超能文献

澳大利亚昆士兰州东南部一座城市污水处理厂中选定内分泌干扰物的归宿模拟。

Modelling of the fate of selected endocrine disruptors in a municipal wastewater treatment plant in South East Queensland, Australia.

作者信息

Tan Benjamin L L, Hawker Darryl W, Müller Jochen F, Leusch Frédéric D L, Tremblay Louis A, Chapman Heather F

机构信息

Australian School of Environmental Studies, Griffith University, Nathan, Queensland 4111, Australia.

出版信息

Chemosphere. 2007 Sep;69(4):644-54. doi: 10.1016/j.chemosphere.2007.02.057. Epub 2007 Apr 6.

Abstract

The aim of this study was to develop a fugacity-based analysis of the fate of selected industrial compounds (alkylphenols and phthalates) with endocrine disrupting properties in a conventional activated sludge wastewater treatment plant (WWTP A) in South East Queensland, Australia. Using mass balance principles, a fugacity model was developed for correlating and predicting the steady-state-phase concentrations, the process stream fluxes, and the fate of four phthalates and four alkylphenols in WWTP A. Input data are the compound's physicochemical properties, measured concentrations and the plant's operating design and parameters. The relative amounts of chemicals that are likely to be volatilized, sorbed to sludge, biotransformed, and discharge in the effluent water was determined. Since it was difficult to predict biotransformation, measured concentrations were used to calibrate the model in terms of biotransformation rate constant. Results obtained by applying the model for the eight compounds showed <40% differences between most of the estimated and measured data from WWTP A. All eight compounds that were modelled in this study had high removal efficacy from WWTP A. Apart from benzyl butyl phthalate and bisphenol A, the majority is removed via biotransformation followed by a lesser proportion removed with the primary sludge. Fugacity analysis provides useful insight into compound fate in a WWTP and with further calibration and validation the model should be useful for correlative and predictive purposes.

摘要

本研究的目的是对澳大利亚昆士兰州东南部一座传统活性污泥污水处理厂(污水处理厂A)中具有内分泌干扰特性的选定工业化合物(烷基酚和邻苯二甲酸盐)的归宿进行基于逸度的分析。利用质量平衡原理,开发了一个逸度模型,用于关联和预测污水处理厂A中四种邻苯二甲酸盐和四种烷基酚的稳态相浓度、工艺流通量及归宿。输入数据包括化合物的物理化学性质、测量浓度以及该厂的运行设计和参数。确定了可能挥发、吸附到污泥上、生物转化并排放到出水中的化学物质的相对量。由于难以预测生物转化,因此使用测量浓度根据生物转化速率常数对模型进行校准。应用该模型对这八种化合物得出的结果表明,污水处理厂A的大多数估计数据与测量数据之间的差异小于40%。本研究中建模的所有八种化合物在污水处理厂A中都有很高的去除效率。除邻苯二甲酸苄基丁酯和双酚A外,大多数化合物通过生物转化去除,其次是一小部分随初沉污泥去除。逸度分析为了解化合物在污水处理厂中的归宿提供了有用的见解,通过进一步校准和验证,该模型应可用于关联和预测目的。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验