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内外源物质输运对预测被动采样器中污染物吸着速率的意义。

Internal and external transport significance for predicting contaminant uptake rates in passive samplers.

机构信息

Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, 1 University Station C1786, Austin, TX 78712-0273, United States.

Department of Civil & Environmental Engineering, Texas Tech University, Box 41023, Lubbock, TX 794091023, United States.

出版信息

Chemosphere. 2015 Jan;119:910-916. doi: 10.1016/j.chemosphere.2014.08.063. Epub 2014 Sep 26.

Abstract

A critical element in the application of passive sampling devices for estimating in situ the concentrations of contaminants in pore water of sediments is predicting the rate of uptake within the device. Herein, we demonstrate the relative importance of internal and external mass transport processes for sampling devices and show that external processes control the kinetics in many instances. As such uptake rates are closely related to the surface area to volume ratio of the sampling device and site-specific transport conditions. Models based on sorption-related molecular diffusion provide an upper bound on equilibrium times. The essential model parameters and corresponding kinetics at a site with more substantial mixing can be inferred using time series of sampler concentrations, concentrations in samplers with different geometry, or concentrations of performance reference compounds.

摘要

在应用被动采样器原位估计沉积物孔隙水中污染物浓度时,一个关键因素是预测装置内的吸收速率。本文中,我们展示了内部和外部传质过程对采样器的相对重要性,并表明在许多情况下外部过程控制着动力学。因此,吸收速率与采样器的表面积与体积比以及特定地点的传输条件密切相关。基于吸附相关分子扩散的模型为平衡时间提供了上限。使用采样器浓度的时间序列、不同几何形状的采样器中的浓度或性能参考化合物的浓度,可以推断出在混合程度更高的地点的基本模型参数和相应的动力学。

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