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Granular Activated Carbon Adsorption of Organic Micropollutants: Scale-Up and Effect of Background Dissolved Organic Matter.

机译:有机微污染物的颗粒活性炭吸附:放大和背景溶解有机物的影响。

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摘要

Conventional drinking water treatment does not effectively reduce the concentrations of many common emerging trace organic contaminants or micropollutants (MPs), thus advanced treatment processes like granular activated carbon (GAC) are being evaluated for potential use in controlling MPs. However, adsorption by GAC is not selective for MPs as background dissolved organic matter (DOM), which is ubiquitous in all natural waters derived from both natural and anthropogenic sources, is also removed. Background DOM irreversibly reduces both adsorption capacity and kinetics for MPs, termed fouling, and varies in magnitude with GAC particle size thereby complicating valuable performance predictions. The objectives of this research are to (a) expand the database of MP breakthrough at environmentally relevant concentrations with full-scale and small-scale GAC media in several waters with different background DOM concentrations and types and (b) develop relationships that allow the breakthrough to be related to compound and system properties, and (c) better understand the effects of DOM type on MP breakthrough.;Adsorption of 30 environmentally relevant MPs using full- and small-scale GAC media was investigated using several different surface waters with different DOM, measured as dissolved organic carbon (DOC). For coagulated waters, MPs broke through earlier on average with increasing DOC and 52% later on average by doubling the EBCT based on the bed volumes to 10% MP breakthrough. Several predictive relationships were presented for predicting the bed volumes to 10% MP breakthrough at the full-scale based influent DOC concentrations, MP pH-dependent octanol-water partition coefficients, MP polarizabilities, MP molar volumes, and bed volumes to 10% MP breakthrough using the proportional diffusivity design of the rapid small-scale column test (PD-RSSCT). On average, the PD-RSSCT over predicts MP adsorption capacity by a factor of 3.0+/-1.2. Relationships for adjusting the PD-RSSCT to predict full-scale MP breakthrough using a fouling factor were based on the ratios of the influent MP concentration to the influent DOC concentration, bed volumes to 10% MP breakthrough in the PD-RSSCT, and MP pH-dependent octanol-water partition coefficients. Smaller molecular weight DOM fouled GAC more than unfractionated and large molecular weight DOM, whereas large molecular weight slowed adsorption kinetics. Environmentally relevant background MP concentrations of about 3 &mgr;g/L had a small to negligible effect on target MP breakthrough.
机译:传统的饮用水处理不能有效地降低许多常见的新兴痕量有机污染物或微污染物(MPs)的浓度,因此,正在评估诸如颗粒活性炭(GAC)之类的先进处理工艺在控制MP中的潜在用途。但是,GAC对MP的吸附不是选择性的,因为还去除了背景溶解有机物(DOM),该物质在所有天然水和人为来源的天然水中都普遍存在。背景DOM不可逆地降低了MP的吸附能力和动力学(称为结垢),并且随GAC粒径的变化而变化,从而使有价值的性能预测变得复杂。这项研究的目的是(a)在背景DOM浓度和类型不同的几种水域中,以全比例和小比例GAC介质扩展与环境相关浓度的MP突破数据库,以及(b)建立关系以实现突破(c)更好地了解DOM类型对MP突破的影响。;使用几种不同DOM的不同地表水,研究了使用全尺寸和小规模GAC介质吸附30种与环境相关的MPs的情况。 ,以溶解有机碳(DOC)的形式测量。对于凝结水,通过将床层体积的EBCT倍增至MP突破量的10%,MP的平均突破时间提前,平均DOC增加,而平均后来突破52%。提出了几种预测关系,以预测在满量程进水DOC浓度下MP床体积达到10%MP突破,MP pH依赖的辛醇-水分配系数,MP极化率,MP摩尔体积和MP床体积达到10%MP突破使用快速小规模色谱柱测试(PD-RSSCT)的比例扩散设计。平均而言,PD-RSSCT预测MP吸附能力为3.0 +/- 1.2。使用污垢因子调整PD-RSSCT以预测全尺寸MP突破的关系是基于进水MP浓度与进水DOC浓度,PD-RSSCT中床层体积达到MP突破10%的比例以及MP pH的比率依赖的辛醇-水分配系数。较小的分子量DOM比未分级的和较大的分子量DOM对GAC的污染更大,而较大的分子量则减慢了吸附动力学。与环境相关的背景MP浓度约为3 mg / L,对目标MP的突破影响很小至可以忽略不计。

著录项

  • 作者

    Kennedy, Anthony Myers.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 198 p.
  • 总页数 198
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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