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A low-cost PM2.5 monitor for wildland fire smoke

机译:用于野外火灾烟雾的低成本PM2.5监控器

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摘要

Wildfires and prescribed fires produce emissions that degrade visibility and are harmful to human health. Smoke emissions and exposure monitoring is critical for public and environmental health protection; however, ground-level measurements of smoke from wildfires and prescribed fires has proven difficult, as existing (validated) monitoring technologies are expensive, cumbersome, and generally require line power. Few ground-based measurements are made during fire events, which limits our ability to assess the environmental and human health impacts of wildland fire smoke. The objective of this work was to develop and validate an Outdoor Aerosol Sampler (OAS) – a filter-based air sampler that has been miniaturized and weatherproofed. This sampler was designed to overcome several of the technical challenges of wildland fire monitoring by being relatively inexpensive and solar powered. The sampler design objectives were achieved by leveraging low-cost electronic components, open-source programming platforms, and in-house fabrication methods. A direct-reading PM sensor was selected and integrated with the OAS to provide time-resolved concentration data. Cellular communications established via Short Message Service (SMS) technology were utilized in transmitting online sensor readings and controlling the sampling device remotely. A Monte Carlo simulation aided in the selection of battery and solar power necessary to independently power the OAS, while keeping cost and size to a minimum.Thirteen OAS were deployed to monitor smoke concentrations downwind from a large prescribed fire. Aerosol mass concentrations were interpolated across the monitoring network to depict smoke concentration gradients in the vicinity of the fire. Strong concentration gradients were observed (spatially and temporally) and likely present due to a combination of changing fire location and intensity, topographical features (e.g. mountain ridges), and diurnal weather patterns. Gravimetric filter measurements made by the OAS (when corrected for filter collection efficiency) showed relatively good agreement with measurements from an EPA federal equivalent monitor. However, the real-time optical sensor (Sharp GP2Y1023AU0F) within the OAS suffered from temperature dependence, drift, and imprecision.
机译:野火和明火产生的排放物会降低能见度,并且对人体健康有害。烟雾排放和暴露监测对于公共和环境保护至关重要。但是,事实证明,对野火和明火产生的烟雾进行地面测量非常困难,因为现有的(经过验证的)监视技术价格昂贵,麻烦且通常需要线路电源。火灾期间很少进行地面测量,这限制了我们评估荒野火烟对环境和人类健康的影响的能力。这项工作的目的是开发和验证室外气溶胶采样器(OAS),这是一种基于过滤器的空气采样器,已被小型化和防风雨。该采样器旨在通过相对廉价和太阳能供电来克服野外火灾监控的若干技术挑战。通过利用低成本电子元件,开源编程平台和内部制造方法来实现采样器设计目标。选择了直读式PM传感器,并将其与OAS集成在一起以提供时间分辨的浓度数据。通过短消息服务(SMS)技术建立的蜂窝通信被用于传输在线传感器读数和远程控制采样设备。蒙特卡洛模拟帮助选择了为OAS独立供电所需的电池和太阳能,同时将成本和尺寸保持在最低水平。部署了13个OAS,以监视大火时顺风产生的烟气浓度。通过监测网络对气溶胶质量浓度进行插值,以描绘火灾附近的烟气浓度梯度。观察到了强烈的浓度梯度(在空间和时间上),并且可能由于火场位置和强度变化,地形特征(例如山脊)和日间天气模式的组合而存在。由OAS进行的重量过滤器测量(在对过滤器收集效率进行校正后)与EPA联邦等效监测器的测量结果显示出相对较好的一致性。但是,OAS中的实时光学传感器(Sharp GP2Y1023AU0F)受温度依赖性,漂移和不精确性的影响。

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