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首页> 外文期刊>The Science of the Total Environment >Effects of multi-media partitioning of chemicals on Junge's variability-lifetime relationship
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Effects of multi-media partitioning of chemicals on Junge's variability-lifetime relationship

机译:多媒体化学物质分配对Junge变异性-寿命关系的影响

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Junge's variability-lifetime relationship describes the relation between the tropospheric residence time of a volatile trace gas and the coefficient of variation of the tropospheric mixing ratio at a remote location. However, no unique or universal quantification of this relationship exists. It can only be derived on a case-by-case basis for consistent data sets on substances with similar source and sink patterns. Using a multi-media model of the long-range transport of organic compounds, we determine variability-lifetime relationships for volatile substances. Next, we demonstrate how the variability-lifetime relationship can be obtained for semi-volatile organic compounds (SOCs) with the model and we investigate typical deviations from the Junge relationship for volatile compounds that are caused by the multi-media partitioning of SOCs. One cause of deviation from this relationship is substances undergoing significant transport in water so that their distribution in air is noticeably influenced by their distribution in water. The other, wider, deviation is caused by substances with a strong tendency for deposition and re-volatilization. Finally, we address the comparison of the model results with field data. Preliminary analyses of long-term monitoring data for polychlorinated biphenyls at remote sites have shown that the identification of Junge relationships in field data is not straightforward. We discuss possible strategies for the derivation of Junge relationships from field data on SOCs. (c) 2006 Elsevier B.V. All rights reserved.
机译:Junge的变异性-寿命关系描述了挥发性微量气体在对流层停留时间与远端对流层混合比的变化系数之间的关系。但是,不存在这种关系的唯一或通用量化。它只能针对具有相似源和汇模式的物质的一致数据集,逐案导出。使用有机化合物远程运输的多媒体模型,我们确定了挥发性物质的变异性-寿命关系。接下来,我们演示如何使用该模型获得半挥发性有机化合物(SOC)的变异性-寿命关系,并研究由SOC的多媒体分配引起的挥发性化合物与Junge关系的典型偏差。导致这种关系偏离的一个原因是物质在水中的迁移量很大,因此它们在空气中的分布会明显受其在水中的分布的影响。另一个更广泛的偏差是由具有强烈沉积和再挥发趋势的物质引起的。最后,我们讨论了模型结果与现场数据的比较。对偏远地区多氯联苯的长期监测数据的初步分析表明,现场数据中Junge关系的识别并不容易。我们讨论了从SOC的现场数据推导Junge关系的可能策略。 (c)2006 Elsevier B.V.保留所有权利。

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