...
首页> 外文期刊>Water Research >Input characterization of perfluoroalkyl substances in wastewater treatment plants: Source discrimination by exploratory data analysis
【24h】

Input characterization of perfluoroalkyl substances in wastewater treatment plants: Source discrimination by exploratory data analysis

机译:废水处理厂中全氟烷基物质的输入特性:通过探索性数据分析进行源判别

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents a methodology based on multivariate data analysis for identifying input sources of perfluoroalkyl substances (PFASs) detected in 37 wastewater treatment plants (WWTPs) across more than 40 cities in the state of Minnesota (USA). Exploratory analysis of data points has been carried out by unsupervised pattern recognition (cluster analysis), correlation analysis, ANOVA and per capita discharges in an attempt to discriminate sources of PFASs in WWTPs. Robust cluster solutions grouped the database according to the different PFAS profiles in WWTP influent. Significantly elevated levels of perfluorohexanoic acid (PFHxA), perfluorooctanoic acid (PFOA) and/or perfluorooctane sulfonate (PFOS) in influent have been found in 18 out of 37 WWTPs (49%). A substantial increase in the concentrations of PFHxA and/or PFOA from influent to effluent was observed in 59% of the WWTPs surveyed, suggestive of high concentration inputs of precursors. The fate of one precursor (8:2 fluorotelomer alcohol) in WWTP was modeled based on fugacity analysis to understand the increasing effluent concentration. Furthermore, population-related emissions cannot wholly explain the occurrence and levels of PFASs in WWTPs. Unusually high influent levels of PFASs were observed in WWTPs located in specific industrial areas or where known contamination had taken place. Despite the restriction on the production/use of PFOA and PFOS, this paper demonstrates that wastewater from industrial activities is still a principal determinant of PFAS pollution in urban watersheds.
机译:本文提出了一种基于多元数据分析的方法,用于识别在美国明尼苏达州40多个城市的37个废水处理厂(WWTP)中检测到的全氟烷基物质(PFAS)的输入来源。通过无监督模式识别(聚类分析),相关分析,ANOVA和人均排放量对数据点进行了探索性分析,试图区分污水处理厂中的PFAS来源。强大的集群解决方案根据污水处理厂进水口中不同的PFAS配置文件对数据库进行分组。在37个污水处理厂中,有18个(49%)的污水中全氟己酸(PFHxA),全氟辛酸(PFOA)和/或全氟辛烷磺酸(PFOS)的含量显着升高。从进水到出水,PFHxA和/或PFOA的浓度从进水到出水都显着增加,这表明前体的浓度很高。基于逸度分析来模拟污水处理厂中一种前体(8:2氟代端粒醇)的结局,以了解不断增加的污水浓度。此外,与人口有关的排放不能完全解释污水处理厂中PFAS的发生和水平。在特定工业区或发生已知污染的污水处理厂中,PFAS的流入量异常高。尽管限制了PFOA和PFOS的生产/使用,但本文证明,工业活动产生的废水仍然是城市流域PFAS污染的主要决定因素。

著录项

  • 来源
    《Water Research》 |2012年第9期|p.3101-3109|共9页
  • 作者单位

    Department of Civil Engineering, University of Minnesota, Minneapolis, MN 55414, USA,Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA;

    Department of Civil Engineering, University of Minnesota, Minneapolis, MN 55414, USA;

    Department of Civil Engineering, University of Minnesota, Minneapolis, MN 55414, USA;

    Department of Civil Engineering, University of Minnesota, Minneapolis, MN 55414, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    industrial wastewater; point source; PFHxA; PFOA; water quality; source apportionment;

    机译:工业废水;点源PFHxA;PFOA;水质;源分配;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号