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HVAC 过滤颗粒物和痕量金属:空气传播测量和定量过滤取证评估。

HVAC filtration of particles and trace metals: Airborne measurements and the evaluation of quantitative filter forensics.

机构信息

Department of Civil and Mineral Engineering, University of Toronto, Toronto, Canada.

Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Canada.

出版信息

Environ Pollut. 2021 Feb 15;271:116388. doi: 10.1016/j.envpol.2020.116388. Epub 2020 Dec 24.

Abstract

Filters installed in the heating, ventilation, and air-conditioning (HVAC) systems can serve as air-cleaning and sampling devices for indoor particles. The purpose of this article is to evaluate these dual roles. An occupied home with a central HVAC system equipped with a Minimum Efficiency Reporting Value (MERV, from ASHRAE Standard 52.2) 11 filter was monitored for six weeks. Weekly airborne gravimetric and real-time sampling was performed to measure the particle size distribution and the concentration of total suspended particles (TSP), PM, PM, PM, and 12 trace metals. The weekly system runtimes were intentionally changed to provide a wide range of weekly filtration volumes. The quantitative filter forensics (QFF) concentrations of particulate matter (PM) and trace metals were calculated using the analysis of the dust collected on the HVAC filter, the filtration volume, and filter in-situ efficiency. The results indicated that filtration was not influential to remove PM and trace metals as the concentrations during the weeks with continuous HVAC operation were not consistently lower than those during the other weeks. This suggests the dominance of other particle and trace metal source and loss mechanisms weakens the influence of filtration in this home. The QFF evaluation results indicated that the concentration of TSP and over half of the tested trace metals (e.g., Pb, Cd, Ni, V, Sb, K, and Sr) could be estimated by QFF within a factor of two when compared to airborne sampling results. PM, PM, and PM concentrations were significantly underestimated by QFF potentially due to the limitations of size distribution analysis by a laser diffraction particle sizer (LDPS) for the detection of <1 μm particles. Overall, while QFF was promising for TSP and some trace metals, improvement in size distribution analysis could extend the application of QFF for airborne sampling.

摘要

安装在供暖、通风和空调(HVAC)系统中的过滤器可以作为室内颗粒物的空气净化和采样设备。本文旨在评估这些双重作用。监测了一个装有中央 HVAC 系统的住宅,该系统配备了最低效率报告值(MERV,来自 ASHRAE 标准 52.2)为 11 的过滤器,监测时间为六周。每周进行空气悬浮颗粒的称重和实时采样,以测量颗粒尺寸分布和总悬浮颗粒物(TSP)、PM 、PM 、PM 以及 12 种痕量金属的浓度。每周故意改变系统运行时间,以提供广泛的每周过滤量。使用收集在 HVAC 过滤器上的灰尘、过滤体积和过滤器原位效率分析,计算定量过滤器取证(QFF)的颗粒物(PM)和痕量金属浓度。结果表明,过滤对去除 PM 和痕量金属没有影响,因为在连续 HVAC 运行的几周内,浓度并不始终低于其他几周。这表明其他颗粒和痕量金属源和损失机制的主导地位削弱了过滤在该住宅中的影响。QFF 评估结果表明,TSP 浓度和超过一半的测试痕量金属(例如,Pb、Cd、Ni、V、Sb、K 和 Sr)的浓度可以通过 QFF 以两倍的因子与空气采样结果进行估计。PM 、PM 和 PM 浓度可能被 QFF 显著低估,这可能是由于激光衍射颗粒计数器(LDPS)对<1μm 颗粒的尺寸分布分析存在局限性。总体而言,尽管 QFF 对 TSP 和一些痕量金属有很大的潜力,但改进尺寸分布分析可以扩大 QFF 在空气采样中的应用。

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