Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study
Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study
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DOI：
10.1016/j.envint.2019.105329
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发表时间：
2020-01-01
影响因子：
11.8
通讯作者：
Sheppard, Lianne
中科院分区：
文献类型：
--
作者：
Zusman, Marina;Schumacher, Cooper S.;Sheppard, Lianne
低成本的空气监测传感器是环境研究中评估污染物的一个有吸引力的工具。便携式低成本传感器有望扩大空气质量信息的时间和空间覆盖范围。然而，研究人员报告说，这些传感器的操作质量存在挑战。我们评估了两个广泛使用的传感器，PlantPower PMS A003和Shinyei PPD42 NS，用于测量细颗粒物的性能特征，并与参考方法进行了比较，并开发了洛杉矶、芝加哥、纽约、巴尔的摩、明尼阿波利斯-圣彼得堡的区域校准模型。保罗、温斯顿-塞勒姆和西雅图大都市区。重复的PlantPower PMS A003传感器显示了高水平的精度(平均皮尔逊r=0.99)，与监管仪器相比，显示出良好的准确性(交叉验证的R-2=0.96，RMSE=1.15微克/米(3)，西雅图地区PM2.5的日平均估计值)。新野PPD42 NS传感器结果的精密度(Pearson‘s r=0.84)和准确度(交叉验证的R-2=0.40，RMSE=4.49µg/m(3))较低。使用监管仪器校准并根据温度和相对湿度进行调整的地区特定PlantPower PMS A003型号，在其他六个地区的日平均测量中显示出可接受的性能指标(R-2=0.74-0.95，RMSE=2.46-0.84µg/m(3))。将西雅图模型应用于其他地区导致性能下降(R-2=0.67-0.84，RMSE=3.41-1.67µg/m(3))，这可能是由于气象条件和颗粒物来源的差异。我们描述了一种用于低成本传感器的大都市地区特定校准模型的方法，该模型可以谨慎地用于流行病学研究中的暴露测量。
Low-cost air monitoring sensors are an appealing tool for assessing pollutants in environmental studies. Portable low-cost sensors hold promise to expand temporal and spatial coverage of air quality information. However, researchers have reported challenges in these sensors' operational quality. We evaluated the performance characteristics of two widely used sensors, the Plantower PMS A003 and Shinyei PPD42NS, for measuring fine particulate matter compared to reference methods, and developed regional calibration models for the Los Angeles, Chicago, New York, Baltimore, Minneapolis-St. Paul, Winston-Salem and Seattle metropolitan areas. Duplicate Plantower PMS A003 sensors demonstrated a high level of precision (averaged Pearson's r = 0.99), and compared with regulatory instruments, showed good accuracy (cross-validated R-2 = 0.96, RMSE = 1.15 mu g/m(3) for daily averaged PM2.5 estimates in the Seattle region). Shinyei PPD42NS sensor results had lower precision (Pearson's r = 0.84) and accuracy (cross-validated R-2 = 0.40, RMSE = 4.49 mu g/m(3)). Region-specific Plantower PMS A003 models, calibrated with regulatory instruments and adjusted for temperature and relative humidity, demonstrated acceptable performance metrics for daily average measurements in the other six regions (R-2 = 0.74-0.95, RMSE = 2.46-0.84 mu g/m(3)). Applying the Seattle model to the other regions resulted in decreased performance (R-2 = 0.67-0.84, RMSE = 3.41-1.67 mu g/m(3)), likely due to differences in meteorological conditions and particle sources. We describe an approach to metropolitan region-specific calibration models for low-cost sensors that can be used with caution for exposure measurement in epidemiological studies.