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在不同温度、环境风速和环境浓度下,XAD 被动式空气采样器对中性有机化学物质的吸收模拟 (PAS-SIM)。

Modeling the uptake of neutral organic chemicals on XAD passive air samplers under variable temperatures, external wind speeds and ambient air concentrations (PAS-SIM).

机构信息

Department of Physical and Environmental Sciences, University of Toronto Scarborough , 1265 Military Trail, Toronto, Ontario, Canada , M1C 1A4.

出版信息

Environ Sci Technol. 2013;47(23):13546-54. doi: 10.1021/es402978a. Epub 2013 Nov 15.

Abstract

The main objective of this study was to evaluate the performance and demonstrate the utility of a fugacity-based model of XAD passive air samplers (XAD-PAS) designed to simulate the uptake of neutral organic chemicals under variable temperatures, external wind speeds and ambient air concentrations. The model (PAS-SIM) simulates the transport of the chemical across the air-side boundary layer and within the sampler medium, which is segmented into a user-defined number of thin layers. Model performance was evaluated using data for polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs) from a field calibration study (i.e., active and XAD-PAS data) conducted in Egbert, Ontario, Canada. With some exceptions, modeled PAS uptake curves are in good agreement with the empirical PAS data. The results are highly encouraging, given the uncertainty in the active air sampler data used as input and other uncertainties related to model parametrization (e.g., sampler-air partition coefficients, the influence of wind speed on sampling rates). The study supports the further development and evaluation of the PAS-SIM model as a diagnostic (e.g., to aid interpretation of calibration studies and monitoring data) and prognostic (e.g., to inform design of future passive air sampling campaigns) tool.

摘要

本研究的主要目的是评估基于逸度的 XAD 被动空气采样器(XAD-PAS)模型的性能,并展示其在不同温度、外部风速和环境空气浓度下模拟中性有机化合物吸收的实用性。该模型(PAS-SIM)模拟了化学物质在空气侧边界层和采样器介质中的传输,采样器介质被划分为用户定义数量的薄层层。模型性能是通过在加拿大安大略省 Egbert 进行的现场校准研究(即主动和 XAD-PAS 数据)中的多氯联苯(PCBs)和多环芳烃(PAHs)数据进行评估的。除了一些例外,模型 PAS 吸收曲线与经验 PAS 数据非常吻合。考虑到用作输入的主动空气采样器数据的不确定性以及与模型参数化相关的其他不确定性(例如,采样器-空气分配系数、风速对采样速率的影响),这一结果令人鼓舞。这项研究支持进一步开发和评估 PAS-SIM 模型,作为一种诊断工具(例如,帮助解释校准研究和监测数据)和预测工具(例如,为未来的被动空气采样活动设计提供信息)。

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