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首页> 外文期刊>Environmental Science & Technology >Group Contribution Method for Predicting Equilibria of Nonionic Organic Compounds between Soil Organic Matter and Water
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Group Contribution Method for Predicting Equilibria of Nonionic Organic Compounds between Soil Organic Matter and Water

机译:预测土壤有机质与水之间非离子有机化合物平衡的基团贡献法

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摘要

Soil organic matter (SOM) is known to be responsible for nonionic organic compound sorption in water-saturated soil, but the equilibria and kinetics of this process are not fully understood. Since the kinetics depend on the equilibrium driving force, understanding the equilibrium solubility of organic compounds in SOM is particularly important. This work describes a method of predicting SOM-water partition coefficients for nonionic organic compounds based on the UNIFAC-type models. Partition coefficients are calculated from the predicted activity coefficients of organic compounds in water and in SOM phases. A model humic acid molecule is used to represent SOM as a polymeric phase, and the ELBRO-FV model is applied to predict SOM-solute activity coefficients. This method resulted in partition coefficients that were within 1 order of magnitude of experimental values for most compounds studied. Chlorinated compounds do not seem to be modeled well by this method, and predictions may be in error by an order of magnitude. Using data ratherthan UNIFAC predictions for the water phase activity coefficients improved the predictions to within a factor of 3 of the experimental values for all compounds where activity data was available.
机译:众所周知,土壤有机质(SOM)是水饱和土壤中非离子有机化合物的吸附原因,但该过程的平衡性和动力学尚不完全清楚。由于动力学取决于平衡驱动力,因此了解有机化合物在SOM中的平衡溶解度尤为重要。这项工作描述了一种基于UNIFAC型模型预测非离子有机化合物的SOM-水分配系数的方法。根据水和SOM相中有机化合物的预测活度系数计算分配系数。使用模型腐殖酸分子将SOM表示为聚合物相,并使用ELBRO-FV模型预测SOM溶质活度系数。对于大多数研究的化合物,该方法得出的分配系数均在实验值的1个数量级内。用这种方法似乎不能很好地模拟氯化物,并且预测可能会有一个数量级的误差。使用数据而不是UNIFAC预测水相活度系数,可以将预测提高到所有具有活度数据的化合物的实验值的三分之一。

著录项

  • 来源
    《Environmental Science & Technology》 |1995年第9期|p.2273-2279|共7页
  • 作者

    TYLER T. AMES; ERIC A. GRULKE;

  • 作者单位

    Department of Chemical Engineering, Michigan State University, East Lansing, Michigan 48823;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境化学;
  • 关键词

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