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Gas-particle partitioning of semivolatile organic compounds (SOCs) on mixtures of aerosols.

机译:气溶胶混合物上的半挥发性有机化合物(SOC)的气体颗粒分配。

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摘要

Exposure to atmospheric particulate matter, especially to fine particles less than 2.5 μm in size, has been associated with increased levels of morbidity and mortality, especially among the elderly and the sick. It has been hypothesized that the presence of organic compounds in the particle phase can exacerbate these effects. Predicting gas-particle partitioning, or the distribution of possibly hazardous semivolatile organic compounds between gas and particle phase in the atmosphere hence becomes critical. However, incomplete information about the composition, and mixing state of atmospheric aerosols has, thus far, prevented truly mechanistic prediction of gas-particle partitioning in the ambient atmosphere.; In this work, the gas-particle partitioning of mixtures of aerosols from two and three sources, organic and inorganic, primary and secondary in origin, is studied using smog chamber experiments to generate partitioning coefficient data for a set of diverse SOCs. The system is then modeled using thermodynamic gas-particle partitioning models. The models are successful in predicting gas-particle partitioning using a knowledge of the physical make-up, and chemical composition of the aerosol in the chamber. The calculations are sensitive to the mixing state of the aerosol. This sensitivity has important ramifications in predicting gas-particle partitioning in the ambient atmosphere. Some single aerosol source experiments are also carried out and the partitioning model's sensitivity to input parameter choices is tested using the generated experimental data in conjunction with preexisting smog chamber data. The calculation of partitioning coefficients requires the use of parameter estimation methods for various model inputs and a software toolkit incorporating many of these methods is also presented as part of this work. A kinetic adsorptive partitioning formulation modeling the reactions and partitioning of two siloxanes (possible replacements for chlorinated solvents) is successful in demonstrating the particle uptake of the reaction products.*; *This dissertation is a multimedia document (contains text and other applications not available in printed format).
机译:暴露于大气颗粒物,尤其是尺寸小于2.5μm的细颗粒物,会增加发病率和死亡率,尤其是老年人和病人。假设颗粒相中有机化合物的存在会加剧这些影响。因此,预测气体颗粒分配或大气中气相和颗粒相之间可能有害的半挥发性有机化合物的分布变得至关重要。但是,到目前为止,关于大气气溶胶的成分和混合状态的信息不完整,至今仍无法真正预测到大气中气体颗粒分配的机理。在这项工作中,使用烟雾室实验研究了来自两种和三种来源的气溶胶混合物的气-粒子分配,有机和无机来源,主要和次要来源,为一组不同的SOC生成分配系数数据。然后使用热力学气体颗粒分配模型对系统进行建模。该模型通过使用物理组成和室内气雾剂的化学成分知识,成功地预测了气体颗粒的分配。该计算对气溶胶的混合状态敏感。该灵敏度在预测周围大气中的气体颗粒分配方面具有重要意义。还进行了一些单一的气溶胶源实验,并使用生成的实验数据和预先存在的烟雾室数据测试了分区模型对输入参数选择的敏感性。分配系数的计算需要对各种模型输入使用参数估计方法,并且结合了许多方法的软件工具包也作为该工作的一部分而提出。动力学吸附分配配方模拟了两种硅氧烷的反应和分配(可能是氯化溶剂的替代品),成功地证明了反应产物的颗粒吸收。 *本论文是多媒体文件(包含文本和其他应用程序,这些文件无法以印刷格式提供)。

著录项

  • 作者

    Chandramouli, Bharadwaj.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Environmental Sciences.; Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境科学基础理论;环境污染及其防治;
  • 关键词

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