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Calibration and evaluation of PUF-PAS sampling rates across the Global Atmospheric Passive Sampling (GAPS) network†
Environmental Science: Processes & Impacts ( IF 5.5 ) Pub Date : 2017-11-02 00:00:00 , DOI: 10.1039/c7em00360a
Nicholas J. Herkert 1, 2, 3, 4, 5 , Scott N. Spak 3, 5, 6, 7 , Austen Smith 1, 2, 3, 4, 5 , Jasmin K. Schuster 8, 9, 10, 11 , Tom Harner 8, 9, 10, 11 , Andres Martinez 1, 2, 3, 4, 5 , Keri C. Hornbuckle 1, 2, 3, 4, 5
Affiliation  

Passive air samplers equipped with polyurethane foam (PUF-PAS) are frequently used to measure persistent organic pollutants (POPs) in ambient air. Here we present and evaluate a method to determine sampling rates (RS), and the effective sampling volume (Veff), for gas-phase chemical compounds captured by a PUF-PAS sampler deployed anywhere in the world. The method uses a mathematical model that requires only publicly available hourly meteorological data, physical–chemical properties of the target compound, and the deployment dates. The predicted RS is calibrated from sampling rates determined from 5 depuration compounds (13C PCB-9, 13C PCB-15, 13C PCB-32, PCB-30, and d6-γ-HCH) injected in 82 samples from 24 sites deployed by the Global Atmospheric Passive Sampling (GAPS) network around the world. The dimensionless fitting parameter, gamma, was found to be constant at 0.267 when implementing the Integrated Surface Database (ISD) weather observations and 0.315 using the Modern Era Retrospective-Analysis for Research and Applications (MERRA) weather dataset. The model provided acceptable agreement between modelled and depuration determined sampling rates, with 13C PCB-9, 13C PCB-32, and d6-γ-HCH having mean percent bias near zero (±6%) for both weather datasets (ISD and MERRA). The model provides inexpensive and reliable PUF-PAS gas-phase RS and Veff when depuration compounds produce unusual or suspect results and for sites where the use of depuration compounds is impractical, such as sites experiencing low average wind speeds, very cold temperatures, or remote locations.

中文翻译:

在全球大气被动采样(GAPS)网络中对PUF-PAS采样率进行校准和评估

配备聚氨酯泡沫(PUF-PAS)的被动式空气采样器通常用于测量环境空气中的持久性有机污染物(POPs)。在这里,我们现在和评估的方法,以确定的采样率(ř小号),和有效采样体积(V EFF),用于气相化学化合物通过在世界任何地方部署了PUF-PAS采样器捕获。该方法使用数学模型,该模型仅需要每小时可获得的公共气象数据,目标化合物的理化特性以及部署日期。预测ř小号是从5净化化合物确定采样率校准(13 ÇPCB-9,13 ÇPCB-15,13C PCB-32,PCB-30和d 6 -γ-HCH)从全球24个站点的82个样品中注入,这些样品由全球大气无源采样(GAPS)网络部署。在实施综合表面数据库(ISD)气象观测时,发现无因次拟合参数gamma恒定为0.267,而对于研究和应用现代时代回顾性分析(MERRA)天气数据集,其无因次拟合参数gamma则恒定为0.315。该模型提供之间建模和净化确定的采样速率,具有可接受的协议13 ÇPCB-9,13 ÇPCB-32,和d 6接近零(±6%),其具有平均百分比偏差-γ-HCH两个天气数据集(ISD和MERRA)。该模型提供廉价且可靠的PUF-PAS气相R SV EFF当净化化合物产生异常或可疑结果和网站,使用净化的化合物是不切实际的,如位点经历低的平均风速,非常冷的温度下,或远程位置。
更新日期:2017-11-02
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