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A New Black Carbon Sensor for Dense Air Quality Monitoring Networks

机译:用于密集空气质量监测网络的新型黑碳传感器

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摘要

Low-cost air pollution sensors are emerging and increasingly being deployed in densely distributed wireless networks that provide more spatial resolution than is typical in traditional monitoring of ambient air quality. However, a low-cost option to measure black carbon (BC)—a major component of particulate matter pollution associated with adverse human health risks—is missing. This paper presents a new BC sensor designed to fill this gap, the Aerosol Black Carbon Detector (ABCD), which incorporates a compact weatherproof enclosure, solar-powered rechargeable battery, and cellular communication to enable long-term, remote operation. This paper also demonstrates a data processing methodology that reduces the ABCD’s sensitivity to ambient temperature fluctuations, and therefore improves measurement performance in unconditioned operating environments (e.g., outdoors). A fleet of over 100 ABCDs was operated outdoors in collocation with a commercial BC instrument (Magee Scientific, Model AE33) housed inside a regulatory air quality monitoring station. The measurement performance of the 105 ABCDs is comparable to the AE33. The fleet-average precision and accuracy, expressed in terms of mean absolute percentage error, are 9.2 ± 0.8% (relative to the fleet average data) and 24.6 ± 0.9% (relative to the AE33 data), respectively (fleet-average ± 90% confidence interval).
机译:低成本空气污染传感器正在出现,并且越来越多地部署在密集分布的无线网络中,该无线网络提供的空间分辨率高于传统环境空气质量监测中的典型分辨率。但是,缺少一种低成本的方法来测量黑碳(BC),这是与不利于人类健康的风险相关的颗粒物污染的主要组成部分。本文提出了一种旨在填补这一空白的新型BC传感器,即气溶胶黑碳检测器(ABCD),该传感器集成了紧凑的防风雨外壳,太阳能可充电电池和蜂窝通信,可实现长期的远程操作。本文还演示了一种数据处理方法,该方法可降低ABCD对环境温度波动的敏感性,从而提高在无条件的操作环境(例如室外)中的测量性能。一支由100多个ABCD组成的车队与室外的BC仪器(Magee Scientific,AE33型)一起安装在室外,并安装在一个监管的空气质量监测站内。 105个ABCD的测量性能可与AE33媲美。以平均绝对百分比误差表示的车队平均精度和准确度分别为9.2±0.8%(相对于车队平均数据)和24.6±0.9%(相对于AE33数据)(车队平均±90) %置信区间)。

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