生态与农村环境学报 ›› 2015, Vol. 31 ›› Issue (2): 262-268.doi: 10.11934/j.issn.1673-4831.2015.02.0019

• 研究方法 • 上一篇    下一篇

污水处理厂暴露模型参数及对化学品归趋影响

冯洁,周林军,刘济宁,石利利,王济奎   

  1. 南京工业大学理学院
  • 收稿日期:2014-09-29 修回日期:2015-01-18 出版日期:2015-03-25 发布日期:2015-04-15
  • 通讯作者: 刘济宁 环境保护部南京环境科学研究所 王济奎 南京工业大学理学院 E-mail:ljn@nies.org;njwjk@163.com
  • 作者简介:冯洁(1990-),女,江苏常熟人,硕士,主要研究方向为污水处理厂化学品暴露预测模型。E-mail:hjkxyjsfj@126.com
  • 基金资助:

    国家高技术研究发展计划(2013AA060A308);环保公益性行业科研专项(2013467028);中央级公益性科研院所基本科研业务专项

Parameters of Exposure Models for Sewage Treatment Plants and Their Impacts on Fate of Chemicals

FENG  Jie, ZHOU  Lin-Jun, LIU  Ji-Ning, SHI  Li-Li, WANG  Ji-Kui   

  1. College of Science,Nanjing Tech University
  • Received:2014-09-29 Revised:2015-01-18 Online:2015-03-25 Published:2015-04-15
  • Contact: LIU Ji-Ning Nanjing Institute of Environmental Sciences,Ministry of Environmental Protection WANG Ji-Kui College of Science,Nanjing Tech University E-mail:ljn@nies.org;njwjk@163.com

摘要: 污水处理厂(STP)暴露预测模型是评估化学品环境归趋的重要手段。调研和实际测定了中国典型污水处理厂的处理工艺、污水特征及环境条件等参数,结果显示,中国STP进水的生化需氧量(BOD5)和悬浮颗粒浓度(SS)普遍低于欧盟。应用欧盟SimpleTreat模型,比较了2,6-二叔丁基苯酚、2,4-二叔戊基苯酚和1-萘酚3种化学品在中国和欧盟场景参数下的归趋差异。结果显示,中国场景参数下3种化学品进入污泥的比例较低,向水体中排放比例较高,水环境风险较大。模型灵敏度分析结果表明,进水BOD5、进水SS、活性污泥有机碳含量和环境温度是影响化学品环境归趋的主要因素。

关键词: 污水处理厂, 模型, 化学品, 暴露, 预测

Abstract: Models for prediction of exposure of sewage treatment plants (STPs) are an important means of assessing fate of chemicals in the environment. Investigations and measurements were performed of parameters of the treatment technologies, sewage properties and environmental conditions of some typical STPs in China.Results show that the concentrations of BOD5 and suspended solids in inflows of the STPs in China are generally lower than those of the STPs in the EU. Fates for 2,6-di-tert-butylphenol, 2,4-di-tert-amyl phenol and 1-naphthol were compared using the EU SimpleTreat model between scenario parameters of China and the EU. It was found that in China of the three chemicals, a relatively low percentage entered into sludge and a quite high percentage discharged into waterbody, which indicates that pollution risk of the water environment is quite high. Sensitivity analysis of the model shows that the BOD5 and SS in inflow of STPs, organic carbon content in activated sludge and environment temperature are the main factors affecting fate of the chemicals.

Key words: sewage treatment plant, model, chemical, exposure, predict

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