Real-time indoor PM(2.5) monitoring in an urban cohort: Implications for exposure disparities and source control.
Real-time indoor PM(2.5) monitoring in an urban cohort: Implications for exposure disparities and source control.
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实时室内PM（2.5）在城市队列中监视：对暴露差异和来源控制的影响。
DOI：
10.1016/j.envres.2020.110561
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发表时间：
2021-03
影响因子：
8.3
通讯作者：
Adamkiewicz G
中科院分区：
文献类型：
--
作者：
Chu MT;Gillooly SE;Levy JI;Vallarino J;Reyna LN;Cedeño Laurent JG;Coull BA;Adamkiewicz G
细颗粒物（PM2.5）浓度在室内变化很大，有证据表明存在暴露差异。实时监测结合新颖的统计方法可以更好地表征室内PM2.5升高的驱动因素。我们使用Alphasense OPC-N2监测仪收集了马萨诸塞州大波士顿城市社区71个家庭的实时PM2.5数据。我们利用质量平衡原理估计了非环境源的室内PM2.5浓度，并利用混合效应分位数回归研究了它们与室内源活动在0.50至0.95暴露分位数之间的关系。平均而言，大多数室内PM2.5浓度是非环境来源（≥77%），在暴露分布的增加分位数处所占比例更高。非环境PM2.5浓度在较高分位数（0.95）的主要预测来源是烹饪（1.4 - 23微克/立方米）和吸烟（15微克/立方米，仅在租房者中），浓度也随着抽油烟机的使用（3.6微克/立方米）和采暖季节（5.6微克/立方米）而增加。从分位数来看，多户住宅的租户比单户和多户住宅的房主感受到来自非环境源的PM2.5浓度比例更高。租房者也更频繁地报告做饭、吸烟、使用喷雾空气清新剂和接触二手烟，并且居住在空气交换率和建筑密度更高的单元中。考虑到这些因素，可以解释观察到的PM2.5暴露差异，特别是在高暴露分位数中。我们的研究结果表明，由于行为和建筑因素的结合，多户住宅的租户可能会经历更高的PM2.5暴露，这些因素适合干预。
Fine particulate matter (PM2.5) concentrations are highly variable indoors, with evidence for exposure disparities. Real-time monitoring coupled with novel statistical approaches can better characterize drivers of elevated PM2.5 indoors. We collected real-time PM2.5 data in 71 homes in an urban community of Greater Boston, Massachusetts using Alphasense OPC-N2 monitors. We estimated indoor PM2.5 concentrations of non-ambient origin using mass balance principles, and investigated their associations with indoor source activities at the 0.50 to 0.95 exposure quantiles using mixed effects quantile regressions, overall and by homeownership. On average, the majority of indoor PM2.5 concentrations were of non-ambient origin (≥77%), with a higher proportion at increasing quantiles of the exposure distribution. Major source predictors of non-ambient PM2.5 concentrations at the upper quantile (0.95) were cooking (1.4 – 23 µg/m3) and smoking (15 µg/m3, only among renters), with concentrations also increasing with range hood use (3.6 µg/m3) and during the heating season (5.6 µg/m3). Across quantiles, renters in multifamily housing experienced a higher proportion of PM2.5 concentrations from non-ambient sources than homeowners in single- and multifamily housing. Renters also more frequently reported cooking, smoking, spray air freshener use, and second-hand smoke exposure, and lived in units with higher air exchange rate and building density. Accounting for these factors explained observed PM2.5 exposure disparities by homeownership, particularly in the upper exposure quantiles. Our results suggest that renters in multifamily housing may experience higher PM2.5 exposures due to a combination of behavioral and building factors that are amenable to intervention.
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影响因子：
11.4
作者：
Ferro, AR;Kopperud, RJ;Hildemann, LM
通讯作者：
Hildemann, LM
影响因子：
4.5
作者：
Austin E;Zanobetti A;Coull B;Schwartz J;Gold DR;Koutrakis P
通讯作者：
Koutrakis P
影响因子：
1.9
作者：
Badura, Marek;Batog, Piotr;Modzel, Piotr
通讯作者：
Modzel, Piotr
DOI：
10.1038/sj.jes.7500532
发表时间：
2007-08-01
影响因子：
4.5
作者：
Baxter, Lisa K.;Clougherty, Jane E.;Levy, Jonathan I.
通讯作者：
Levy, Jonathan I.
影响因子：
0.9
作者：
Akoglu H
通讯作者：
Akoglu H