Using Crowd-Sourced Data to Assess the Temporal and Spatial Relationship between Indoor and Outdoor Particulate Matter
Using Crowd-Sourced Data to Assess the Temporal and Spatial Relationship between Indoor and Outdoor Particulate Matter
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DOI：
10.1021/acs.est.0c08469
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发表时间：
2021-04-21
影响因子：
11.4
通讯作者：
Neidell, Matthew
中科院分区：
文献类型：
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作者：
Krebs, Benjamin;Burney, Jennifer;Neidell, Matthew
利用加州州1000多个室内和室外污染监测器全年的逐时测量数据，我们探索了不同颗粒大小的室外和室内颗粒物（PM）浓度之间的时空关系。这项研究的规模提供了新的见解，平均渗透率和驱动因素的异质性在室外-室内的关系。我们发现，每天室外PM浓度增加10%，导致室内浓度平均增加4.2-6.1%。室外颗粒物迅速渗透到室内环境中，几乎完全在5小时内发生。我们还提供了证据表明，渗透率与建筑物的年龄和气候条件在附近的监测。由于人们每天在室内花费大量时间，我们的研究结果填补了一个关键的知识空白，并对政府通过减少暴露于环境空气污染来改善公共健康的政策产生了重大影响。
Using hourly measures across a full year of crowd-sourced data from over 1000 indoor and outdoor pollution monitors in the state of California, we explore the temporal and spatial relationship between outdoor and indoor particulate matter (PM) concentrations for different particle sizes. The scale of this study offers new insight into both average penetration rates and drivers of heterogeneity in the outdoor-indoor relationship. We find that an increase in the daily outdoor PM concentration of 10% leads to an average increase of 4.2-6.1% in indoor concentrations. The penetration of outdoor particles to the indoor environment occurs rapidly and almost entirely within 5 h. We also provide evidence showing that penetration rates are associated with building age and climatic conditions in the vicinity of the monitor. Since people spend a substantial amount of each day indoors, our findings fill a critical knowledge gap and have significant implications for government policies to improve public health through reductions in exposure to ambient air pollution.