Field measurements of fine and ultrafine particle penetration factors in Chicago residences

IF 7.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Saeed Farhoodi , Haoran Zhao , Mohammad Heidarinejad , Brent Stephens
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Abstract

Much of human exposure to fine and ultrafine particulate matter of outdoor origin occurs inside buildings, particularly in residences. The penetration factor of particles through leaks in a building’s exterior enclosure assembly is a key parameter that governs their infiltration and persistence (i.e., infiltration factor). Yet, experimental data for particle penetration factors in real buildings remain limited. Here we describe targeted field experiments to measure fine (PM2.5) and ultrafine particle (UFP) deposition loss rate constants (k) and penetration factors (P) from time-resolved data in a variety of single-family and multi-family homes in Chicago, IL USA with a range of vintages and building envelope characteristics. A grid-search-based algorithmic method was developed to estimate k and associated uncertainty; a discretized linear regression was used to estimate P. Mean (SD) estimates of P in 18 housing units from the Chicago building stock with doors and windows closed were 0.63 (0.16) for PM2.5 (ranging 0.34–0.90; mean ± SD uncertainty: 19±10%) and 0.62 (0.20) for UFP (ranging 0.24–0.94; mean ± SD uncertainty: 9±6%). In a subset of experiments conducted in 9 homes both before and after receiving energy efficiency retrofits (e.g., air sealing and insulation, with mean envelope leakage decreasing only ∼16%), there were no significant differences in estimates of P for either PM2.5 or UFP. Parameter estimates were robust and not sensitive to several potential sources of bias. Estimates of P were not strongly associated with any building leakage characteristics, suggesting that P may not be easily predicted from simpler measures.

Abstract Image

芝加哥住宅中细颗粒和超细颗粒渗透系数的现场测量
人体暴露在室外的细颗粒物和超细颗粒物的大部分发生在建筑物内,特别是在住宅中。颗粒通过建筑物外围护组件泄漏的渗透系数是控制其渗透和持久性的关键参数(即渗透系数)。然而,实际建筑中颗粒穿透系数的实验数据仍然有限。在这里,我们描述了有针对性的现场实验,以测量细颗粒物(PM2.5)和超细颗粒物(UFP)沉积速率常数(k)和穿透因子(P),这些数据来自美国伊利诺伊州芝加哥的各种单户和多户住宅,具有一系列年份和建筑围护结构特征。开发了一种基于网格搜索的算法来估计k和相关的不确定性;采用离散化线性回归来估计P。在门窗关闭的情况下,芝加哥18个住宅单元的P均值(SD)估计PM2.5为0.63(0.16)(范围为0.34-0.90;平均±SD不确定性:19±10%),UFP为0.62(0.20)(范围为0.24-0.94;平均±SD不确定性:9±6%)。在9个家庭中进行的一组实验中,在进行节能改造之前和之后(例如,空气密封和隔热,平均外壳泄漏仅减少约16%),PM2.5或UFP的P值估计没有显着差异。参数估计是稳健的,对几个潜在的偏差来源不敏感。P的估计值与任何建筑泄漏特征都没有很强的联系,这表明P可能不容易通过更简单的方法来预测。
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来源期刊
Building and Environment
Building and Environment 工程技术-工程:环境
CiteScore
12.50
自引率
23.00%
发文量
1130
审稿时长
27 days
期刊介绍: Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.
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