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野火烟雾细颗粒物2.5对大学校园公共建筑室内空气质量的影响

Impact of Wildfire Smoke PM2.5 on Indoor Air Quality of Public Buildings on a University Campus.

作者信息

Afroz Rowshon, Alonzo Jarred, Omar Sohaib, Cheng Chu-Wen, Schneider Stephanie R, Zhao Ran

机构信息

Department of Chemistry, University of Alberta, T6G 2G2, Edmonton, Alberta, Canada.

Department of Chemistry, McMaster University, 1280 Main Street West ABB 156, L8S 4M1, Hamilton, Ontario, Canada.

出版信息

ACS EST Air. 2025 Mar 26;2(4):625-636. doi: 10.1021/acsestair.4c00342. eCollection 2025 Apr 11.

Abstract

With increasing wildfire events impacting many regions worldwide, understanding and mitigating the effects of wildfire smoke on indoor air quality (IAQ) in public buildings are essential for protecting occupant health. This study investigated the impact of wildfire smoke on the IAQ across 24 campus buildings in Alberta, Canada, representing public spaces with varied ventilation systems. Using a network of low-cost sensors to monitor indoor PM, the study identified significant spikes during wildfire smoke events, with 71% of buildings exceeding the Canadian Ambient Air Quality Standards daily limit of 27 μg/m. The buildings had mechanical ventilation systems with filters with different Minimum Efficiency Reporting Value (MERV) ratings. MERV13 filters were found to be more efficient at capturing PM particles, resulting in lower indoor/outdoor PM ratios (0.12 ± 0.07) compared to MERV8 filters (0.28 ± 0.14). Buildings with air change rates (ACH) ranging from 5 to 15 per hour exhibited different infiltration patterns, with higher ACH generally leading to elevated indoor PM concentrations during wildfire events. This highlights the need to balance ventilation and pollutant infiltration by optimizing ACH rates and filtration efficiency to reduce indoor PM. The trajectory-fire interception method, combined with satellite data, enhanced the identification of wildfire-influenced periods, contributing to a better understanding of smoke infiltration dynamics. These findings underscore that even advanced filtration and ventilation systems alone may not ensure a healthy IAQ during extreme pollution. Real-time pollutant measurements are crucial for effective IAQ management. The findings offer valuable insights for building administrators and policymakers, helping them develop strategies to mitigate the effects of wildfire smoke and to support healthier indoor environments during wildfire seasons.

摘要

随着野火事件日益影响全球许多地区,了解并减轻野火烟雾对公共建筑室内空气质量(IAQ)的影响对于保护居住者健康至关重要。本研究调查了野火烟雾对加拿大艾伯塔省24座校园建筑室内空气质量的影响,这些建筑代表了具有不同通风系统的公共空间。该研究使用低成本传感器网络监测室内颗粒物,发现在野火烟雾事件期间出现了显著峰值,71%的建筑每日超过了加拿大环境空气质量标准27μg/m的限值。这些建筑配备了具有不同最低效率报告值(MERV)评级过滤器的机械通风系统。研究发现,MERV13过滤器在捕获颗粒物方面更有效,与MERV8过滤器(0.28±0.14)相比,其室内/室外颗粒物比率更低(0.12±0.07)。每小时换气次数(ACH)在5至15次之间的建筑表现出不同的渗透模式,较高的ACH通常会导致野火事件期间室内颗粒物浓度升高。这凸显了通过优化ACH率和过滤效率来平衡通风和污染物渗透以降低室内颗粒物的必要性。轨迹 - 火灾拦截方法与卫星数据相结合,增强了对受野火影响时期的识别,有助于更好地理解烟雾渗透动态。这些发现强调,即使是先进的过滤和通风系统,仅靠它们自身在极端污染期间也可能无法确保健康的室内空气质量。实时污染物测量对于有效的室内空气质量管理至关重要。这些发现为建筑管理人员和政策制定者提供了有价值的见解,帮助他们制定策略以减轻野火烟雾的影响,并在野火季节支持更健康的室内环境。

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