Performance of Vehicle Add-on Mobile Monitoring System PM2.5 measurements during wildland fire episodes†

IF 2.8 Q3 ENVIRONMENTAL SCIENCES Environmental science: atmospheres Pub Date : 2024-02-26 DOI:10.1039/D3EA00170A
Ashley S. Bittner, Amara L. Holder, Andrew P. Grieshop, Gayle S. W. Hagler and William Mitchell
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Abstract

Fine particulate matter (PM2.5) resulting from wildland fire is a significant public health risk in the United States (U.S.). The existing stationary monitoring network and the tools used to alert the public of smoke conditions, such as the Air Quality Index or NowCast, are not optimized to capture actual exposure concentrations in impacted communities given that wildland fire smoke plumes have characteristically steep exposure concentration gradients that can vary over fine spatiotemporal scales. In response, we developed and evaluated a lightweight, universally attachable mobile PM2.5 monitoring system to provide supplemental, real-time air quality information during wildfire incidents and prescribed burning activities. We retroactively assessed the performance of the mobile monitor compared to nearby (100–1500 m) stationary low-cost sensors and regulatory monitors using 1 minute averaged data collected during two large wildfires in the western U.S. and during one small, prescribed burn in the Midwest. The mobile measurements were highly correlated (R2 > 0.85) with the stationary network during the large wildfires. Further, 1 minute averaged mobile measurements differed from three collocated stationary instruments by <25% on average for fourteen out of fifteen total passages. For the small, prescribed burn, rapidly changing conditions near the fire border complicated the comparison of mobile and stationary measurements but the spatial maximum concentrations measured by both instruments were consistent. In general, this work highlights the value of using portable sensor technologies to address the monitoring challenges presented by dynamic wildland fire conditions and demonstrates the value in combining mobile monitoring with stationary data where possible.

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野外火灾期间车载附加移动监测系统 PM2.5 测量的性能†。
野外火灾产生的细颗粒物(PM2.5)对美国(U.S. )的公众健康构成重大威胁。现有的固定监测网络和用于提醒公众注意烟雾状况的工具(如空气质量指数或 NowCast)并没有经过优化,无法捕捉到受影响社区的实际暴露浓度,因为野地火灾烟羽具有典型的陡峭暴露浓度梯度,可在细微的时空尺度上发生变化。为此,我们开发并评估了一种轻便、可普遍安装的移动 PM2.5 监测系统,用于在野外火灾事故和规定的燃烧活动期间提供补充性实时空气质量信息。我们利用在美国西部两场大型野火和中西部一次小型规定燃烧期间收集的 1 分钟平均数据,对移动监测仪与附近(100-1500 米)固定式低成本传感器和监管监测仪的性能进行了追溯评估。在大型野火期间,移动测量与固定网络高度相关(R2 > 0.85)。此外,1 分钟平均移动测量值与三台定位固定仪器的测量值相差 25%,在总共 15 次测量中的 14 次测量中平均相差 25%。在小规模的规定燃烧中,火灾边界附近快速变化的条件使移动和固定测量值的比较变得复杂,但两种仪器测得的空间最大浓度是一致的。总的来说,这项工作强调了使用便携式传感器技术应对野外动态火灾条件下的监测挑战的价值,并证明了在可能的情况下将移动监测与固定数据相结合的价值。
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