使用低成本空气质量传感器估算野火烟雾渗入加拿大不列颠哥伦比亚省托儿所的情况

M. J. Lee, James M. Dickson, Ophir Greif, William Ho, Sarah B Henderson, Gary Mallach, Eric S Coker
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摘要

由于气候变化,与野火相关的健康风险预计会增加。儿童很容易受到野火烟雾的影响,但人们对托儿所的室内烟雾暴露知之甚少。这项分析的目的是估算加拿大不列颠哥伦比亚省各地托儿所的室外 PM2.5 和野火烟雾对室内 PM2.5 的影响。我们在 45 家托儿所内外安装了低成本空气质量传感器,并将分析重点放在 2022 年野火季节(8 月 1 日至 10 月 31 日)的工作时间(周一至周五,08:00-18:00)。利用随机斜率随机截距线性混合效应回归,我们估算了室外 PM2.5 对室内 PM2.5 的总体影响和特定设施的影响,同时考虑了协变量。通过分别分析有野火烟雾和没有野火烟雾的日子,我们研究了野火烟雾对这种关系的影响。在所有设施中,野火日的室内 PM2.5 平均值增加了 235%。室外 PM2.5 和室内 PM2.5 之间存在正相关关系,这种关系并没有受到气象和地区社会经济因素线性调整的强烈影响。在非野火烟雾日,室外 PM2.5 每增加 1.0 μg m-3 与室内 PM2.5 每增加 0.55 μg m-3 [95% CI:0.47, 0.63]相关,而在野火烟雾日,室外 PM2.5 每增加 0.51 μg m-3 [95% CI:0.44, 0.58]与室内 PM2.5 每增加 0.51 μg m-3 [95% CI:0.44, 0.58]相关。在野火日(0.18-0.79 μg m-3)和非野火日(0.11-1.03 μg m-3),室外PM2.5对室内PM2.5影响的特定设施回归系数各不相同。室内PM2.5几乎立即对室外PM2.5浓度的增加做出了反应。在所有设施中,非野火日和野火日室外PM2.5浓度增加后的前10分钟内,60分钟内PM2.5总渗透量的89%和93%分别发生在室内。我们发现,托儿所的室内PM2.5随着室外PM2.5的增加而增加。这种影响在不同的设施之间以及在野火烟雾日和非野火烟雾日之间都有所不同。这些发现凸显了对托儿所进行空气质量监测以做出明智决策的重要性。
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Using low-cost air quality sensors to estimate wildfire smoke infiltration into childcare facilities in British Columbia, Canada
The health risks associated with wildfires are expected to increase due to climate change. Children are susceptible to wildfire smoke, but little is known about indoor smoke exposure at childcare facilities. The objective of this analysis was to estimate the effects of outdoor PM2.5 and wildfire smoke episodes on indoor PM2.5 at childcare facilities across British Columbia, Canada. We installed low-cost air-quality sensors inside and outside 45 childcare facilities and focused our analysis on operational hours (Monday–Friday, 08:00–18:00) during the 2022 wildfire season (01 August–31 October). Using random-slope random-intercept linear mixed effects regression, we estimated the overall and facility-specific effects of outdoor PM2.5 on indoor PM2.5, while accounting for covariates. We examined how wildfire smoke affected this relationship by separately analyzing days with and without wildfire smoke. Average indoor PM2.5 increased by 235% on wildfire days across facilities. There was a positive relationship between outdoor and indoor PM2.5 that was not strongly influenced by linear adjustment for meteorological and area-based socio-economic factors. A 1.0 μg m−3 increase in outdoor PM2.5 was associated with a 0.55 μg m−3 [95% CI: 0.47, 0.63] increase indoors on non-wildfire smoke days and 0.51 μg m−3 [95% CI: 0.44, 0.58] on wildfire-smoke days. Facility-specific regression coefficients of the effect of outdoor PM2.5 on indoor PM2.5 was variable between facilities on wildfire (0.18–0.79 μg m−3) and non-wildfire days (0.11–1.03 μg m−3). Indoor PM2.5 responded almost immediately to increased outdoor PM2.5 concentrations. Across facilities, 89% and 93% of the total PM2.5 infiltration over 60 min occurred within the first 10 min following an increase in outdoor PM2.5 on non-wildfire and wildfire days, respectively. We found that indoor PM2.5 in childcare facilities increased with outdoor PM2.5. This effect varied between facilities and between wildfire-smoke and non-wildfire smoke days. These findings highlight the importance of air quality monitoring at childcare facilities for informed decision-making.
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