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便携式气溶胶收集器和光谱仪(PACS)的开发。

Development of a Portable Aerosol Collector and Spectrometer (PACS).

作者信息

Cai Changjie, Thomas Geb W, Yang Tianbao, Park Jae Hong, Gogineni Sivaram P, Peters Thomas M

机构信息

Department of Occupational and Environmental Health, University of Oklahoma Health Sciences Center, University of Oklahoma, Oklahoma City, Oklahoma, USA.

Department of Mechanical and Industrial Engineering, University of lowa, lowa City, lowa, USA.

出版信息

Aerosol Sci Technol. 2018 May;52(12):1351-1369. doi: 10.1080/02786826.2018.1524985.

Abstract

This article presents the development of a Portable Aerosol Collector and Spectrometer (PACS), an instrument designed to measure particle number, surface area, and mass concentrations continuously and time-weighted mass concentration by composition from 10 nm to 10 μm. The PACS consists of a six-stage particle size selector, a valve system, a water condensation particle counter to detect number concentrations, and a photometer to detect mass concentrations. The stages of the selector include three impactor and two diffusion stages, which resolve particles by size and collect particles for later chemical analysis. Particle penetration by size was measured through each stage to determine actual collection performance and account for particle losses. The data inversion algorithm uses an adaptive grid-search process with a constrained linear least-square solver to fit a tri-modal (ultrafine, fine, and coarse), log-normal distribution to the input data (number and mass concentration exiting each stage). The measured 50% cutoff diameter of each stage was similar to the design. The pressure drop of each stage was sufficiently low to permit its operation with portable air pumps. Sensitivity studies were conducted to explore the influence of unknown particle density (range from 500 to 3,000 kg/m) and shape factor (range from 1.0 to 3.0) on algorithm output. Assuming standard density spheres, the aerosol size distributions fit well with a of -4.9% to 3.5%, of 3.3% to 27.6%, and values of 0.90 to 1.00. The fitted number and mass concentration biases were within ±10% regardless of uncertainties in density and shape. However, fitted surface area concentrations were more likely to be underestimated/overestimated due to the variation in particle density and shape. The PACS represents a novel way to simultaneously assess airborne aerosol composition and concentration by number, surface area, and mass over a wide size range.

摘要

本文介绍了一种便携式气溶胶采集器和光谱仪(PACS)的研制情况,该仪器旨在连续测量粒径范围为10纳米至10微米的颗粒物数量、表面积和质量浓度,并按成分测量时间加权质量浓度。PACS由一个六级粒径分选器、一个阀门系统、一个用于检测数量浓度的水凝结核粒子计数器和一个用于检测质量浓度的光度计组成。分选器的各级包括三个冲击器级和两个扩散级,它们按粒径分离颗粒并收集颗粒以便后续进行化学分析。通过测量各级的粒径穿透率来确定实际采集性能并考虑颗粒损失。数据反演算法使用带有约束线性最小二乘求解器的自适应网格搜索过程,将三模态(超细、细和粗)对数正态分布拟合到输入数据(离开各级的数量和质量浓度)。各级测量的50%截止直径与设计值相似。各级的压降足够低,允许使用便携式气泵运行。进行了敏感性研究,以探讨未知颗粒密度(范围为500至3000千克/立方米)和形状因子(范围为1.0至3.0)对算法输出的影响。假设为标准密度球体,气溶胶粒径分布的拟合度良好,偏差为-4.9%至3.5%, 为3.3%至27.6%, 值为0.90至1.00。无论密度和形状存在何种不确定性,拟合的数量和质量浓度偏差均在±10%以内。然而,由于颗粒密度和形状的变化,拟合的表面积浓度更有可能被低估/高估。PACS代表了一种在很宽的粒径范围内同时通过数量、表面积和质量评估空气中气溶胶成分和浓度的新方法。

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