Characterising a mobile reference station (MoRS) to quantify personal exposure to air quality
Characterising a mobile reference station (MoRS) to quantify personal exposure to air quality
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DOI：
10.1016/j.atmosenv.2023.120160
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发表时间：
2023-10
影响因子：
5
通讯作者：
M. Hedges;M. Priestman;M. Chadeau-Hyam;R. Sinharay;F. Kelly;David C. Green
中科院分区：
文献类型：
--
作者：
M. Hedges;M. Priestman;M. Chadeau-Hyam;R. Sinharay;F. Kelly;David C. Green
越来越多的临床、流行病学和毒理学证据将暴露于空气污染与导致死亡率和发病率增加的多种健康后果联系起来。传统上，固定的空气质量监测器被用来提供环境空气污染测量，但它们具有空间和时间限制。仪器自动化的快速发展使新的传感技术更容易获得，但这些技术容易产生高灵敏度和不准确性。为了弥补固定监测器和小型传感器之间的差距，我们开发了一个移动的基准站（MoRS）--一个便携式平台，使用更小、低功率的基准级仪器以高时间分辨率提供高质量的空气污染物测量。MoRS能够同时测量广泛的气溶胶粒度分布（10 nm-35 μm）、气体污染物浓度（二氧化氮（NO2）和臭氧（O3））、环境参数（噪音、相对湿度（RH）和温度）以及收集过滤器样本进行实验室分析。MoRS仪器的描述和在确保高数据质量标准的主要挑战进行了讨论。实验室和现场测试用于推导所有MoRS仪器的比例因子。MoRS的实地测试表明，与参考仪器的相互可比性极好（R2> 0.98），在超细气溶胶范围内与参考仪器的一致性良好，尽管对细颗粒气溶胶的估计过高。在示例干线列车和伦敦地铁（LU）旅程中进行的测量显示了来自MoRS的高质量数据的价值，以及这如何有助于解开多种混淆的环境污染物并丰富流行病学研究。
There is increasing clinical, epidemiological, and toxicological evidence linking exposure to air pollution with multiple health outcomes that lead to increased mortality and morbidity. Traditionally, fixed air quality monitors have been used to provide ambient air pollution measurements, but they have spatial and temporal limitations. Rapid advances in instrument miniaturisation have made novel sensing technologies more accessible but these are prone to high sensitivity and inaccuracies. To bridge the gap between fixed monitors and small sensors we have developed a Mobile Reference Station (MoRS) – a portable platform delivering high quality measurements of air pollutants using smaller, low power reference grade instruments at high time resolutions. MoRS enables the simultaneous measurement of a broad aerosol size distribution (10 nm–35 μm), gaseous pollutant concentrations (nitrogen dioxide (NO2) and ozone (O3)), environmental parameters (noise, relatively humidity (RH) and temperature) as well as collecting filter samples for laboratory analysis. The MoRS instrumentation is described and the major challenges in ensuring that high data quality standards are maintained are discussed. Laboratory and field tests were used to derive scaling factors for all the MoRSinstrumentation. Field testing of MoRS showed excellent intercomparability against reference instrumentation (R2> 0.98) and good agreement with reference instruments in the ultrafine aerosol range, although there was an overestimation of fine particle aerosols. Measurements taken during example mainline train and London Underground (LU) journeys are displayed showing the value of the high-quality data derived from MoRS and how this can help to disentangle multiple confounding environmental pollutants and enrich epidemiological studies.