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Performance of Consumer-Grade Air Pollution Measurement Devices in Residential Environments

机译:消费级空气污染测量设备在住宅环境中的性能

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A developing trend in consumer electronics is production and use of inexpensive (<$300) devices to monitor airborne contaminants of health concern. Most of these devices monitor the mass concentration of PM_(2.5) and PM_(10) particles, temperature, relative humidity, and some include volatile organic compounds or other pollutants. This study focused on four consumer devices: the Air Quality Egg 2, Blueair Aware, Foobot, and Speck that use optical sensors to measure airborne particulate matter concentrations. The devices were collocated in three residences over 7 consecutive days in each residence. Household measurements were compared against established optical sensing devices including two Personal Data RAMs (passive pDR-1000, Thermo Fisher), a DustTrak DRX (TSI Inc.), and gravimetric mass measurements using two Personal Modular Impactors (PMI, SKC, Inc.). A follow-up study in one residence included a collocation of Foobot, Speck, and the pDR-1000 in the kitchen (near source cooking exposure) and bedroom (residential exposure away from a source) combined with time-activity behaviors in the residence over 14-days. Overall, the results show inconsistent performance of consumer grade devices relative to reference methods. For example, in one household, the Foobot registered a Pearson's R~2 of 0.565 when compared to the DustTrak DRX for 1-hour averages, while the Speck showed poor associations (R~2=0.206). Similar results were shown in the cooking study with poor associations from the Speck compared with the pDR-1000 (R~2=0.003), while the Foobot had a strong association with the pDR (R~2=0.830). Among the investigated sensors, the Foobot was most correlated with the reference devices, but the cooking study indicated its limitations regarding maximum loading capacity. Overall, the data show the utility of the consumer-grade air quality measurement devices, allowing for wide-scale deployment; however, further testing is needed to determine their applicability in field studies.
机译:消费类电子产品的发展趋势是生产和使用廉价(低于$ 300)的设备来监测健康相关的空气传播污染物。这些设备中的大多数监视PM_(2.5)和PM_(10)颗粒的质量浓度,温度,相对湿度,并且其中一些包含挥发性有机化合物或其他污染物。这项研究的重点是四个消费类设备:空气质量鸡蛋2,Blueair Aware,Foobot和Speck,它们使用光学传感器测量空气中颗粒物的浓度。在每个住所中连续7天将设备放置在三个住所中。将家庭测量与已建立的光学传感设备进行比较,该光学传感设备包括两个个人数据RAM(无源pDR-1000,Thermo Fisher),DustTrak DRX(TSI Inc.),以及使用两个个人模块化冲击器(PMI,SKC,Inc。)进行重量质量测量。 。在一个住宅中进行的一项后续研究包括将Foobot,Speck和pDR-1000配置在厨房(近源烹饪暴露)和卧室(远离源的住宅暴露)中,并结合该住宅中的时间活动行为。 14天。总体而言,结果表明相对于参考方法,消费级设备的性能不一致。例如,在一个家庭中,Foobot与DustTrak DRX的1小时平均值相比,皮尔逊的R〜2为0.565,而Speck的关联性很差(R〜2 = 0.206)。与pDR-1000(R〜2 = 0.003)相比,与Speck的关联性较差的烹饪研究显示出相似的结果,而Foobot与pDR的关联性很强(R〜2 = 0.830)。在所研究的传感器中,Foobot与参考设备之间的关系最为密切,但是烹饪研究表明其在最大负载能力方面的局限性。总体而言,数据显示了消费级空气质量测量设备的实用性,可进行大规模部署。但是,需要进一步测试以确定它们在现场研究中的适用性。

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