• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Nanofiltration Rejection of Contaminants of Emerging Concern from Municipal Water Resource Recovery Facility Secondary Effluents for Potable Reuse Applications.
【24h】

Nanofiltration Rejection of Contaminants of Emerging Concern from Municipal Water Resource Recovery Facility Secondary Effluents for Potable Reuse Applications.

机译：用于饮用水回用应用的市政水资源回收设施二级废水中新出现的污染物的纳滤过滤。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

As reuse of municipal water resource recovery facility (WRRF) effluent becomes vital to augment diminishing fresh drinking water resources, concern exists that conventional barriers may prove deficient and the upcycling of contaminants of emerging concern (CECs) could prove harmful to human health and aquatic species if more effective and robust treatment barriers are not in place.;There are no federal Safe Drinking Water Act (SDWA) regulations in place specifically for direct potable reuse (DPR) of WRRF effluent. Out of necessity, some states are developing their own DPR reuse regulations. Currently, reverse osmosis (RO) is the default full advanced treatment (FAT) barrier for CEC control. However, the potential exists for tight thin-film composite (TFC) nanofiltration (NF) membranes to provide acceptable CEC rejection efficacies for less capital, operations and maintenance (O&M), energy, and waste generated.;Recognizing the inherent complexity of CEC rejection by membranes, this research program was designed to elucidate the vital predictive variables influencing the rejection of 96 CECs found in municipal WRRF effluents. Each of the CECs was cataloged by their intended use and quantitative structure activity relationship (QSAR) properties, and measured in secondary effluent samples from WRRFs in Texas and Oklahoma. These secondary effluent samples were then processed in bench-scale, stirred, dead-end pressure cells with water treatment industry-specified TFC NF and RO membranes.;A multi-level, multi-variable model was developed to predict the probable rejection coefficients of CECs with the studied NF membrane. The model was developed from variables selected for their association with known membrane rejection mechanisms, CEC-specific QSAR properties, and characteristics of the actual solute matrix. R statistics software version 3.1.3 was utilized for property collinearity analysis, outlier analysis, and regression modeling. The Pearson correlation method was utilized for selection of the most vital predictor variables for modeling. The resulting Quantitative Molecular Properties Model (QMPM) predicted the NF rejection CECs based on size, ionic charge, and hydrophobicity. Furthermore, the QMPM was verified against a CEC rejection dataset published by an independent study for a similar commercially available TFC NF membrane.
机译：随着市政水资源回收设施（WRRF）废水的再利用对于增加淡水饮用水的消耗变得至关重要，人们担心常规屏障可能不足，而新兴关注污染物（CEC）的升级可能对人体健康和水生生物有害如果没有更有效，更稳健的处理障碍，则没有专门针对WRRF废水的直接饮用水再利用（DPR）的联邦《安全饮用水法》（SDWA）法规。出于必要，一些州正在制定自己的DPR重用法规。当前，反渗透（RO）是CEC控制的默认默认完全高级处理（FAT）屏障。但是，紧密薄膜复合（TFC）纳滤（NF）膜存在潜力，可以提供可接受的CEC排斥效率，从而减少资本，运营和维护（O＆M），能源和废物的产生。认识到CEC排斥的内在复杂性通过膜研究，该研究计划旨在阐明影响市政WRRF废水中发现的96个CEC拒绝的重要预测变量。每个CEC均按其预期用途和定量结构活性关系（QSAR）属性进行分类，并在得克萨斯州和俄克拉荷马州WRRF的二次污水样品中进行测量。然后使用水处理行业指定的TFC NF和RO膜在台式规模的搅拌死角压力池中处理这些次要废水样品;建立了一个多级，多变量模型来预测可能的废液系数。具有研究的NF膜的CEC。该模型是根据与已知的膜截留机理，CEC特有的QSAR特性以及实际溶质基质的特征相关联的变量而开发的。 R统计软件3.1.3版用于属性共线性分析，离群值分析和回归建模。皮尔逊相关法用于选择最重要的预测变量进行建模。所得的定量分子特性模型（QMPM）根据尺寸，离子电荷和疏水性预测了NF排斥CEC。此外，针对由类似的市售TFC NF膜进行的独立研究发布的CEC拒绝数据集验证了QMPM。

著录项

  • 作者

    Jones, Steven Michael.;

  • 作者单位

    University of Arkansas.;

  • 授予单位 University of Arkansas.;
  • 学科 Civil engineering.;Chemical engineering.;Environmental engineering.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 215 p.
  • 总页数 215
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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