Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah
Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah
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DOI：
10.5194/amt-16-2455-2023
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发表时间：
2023-05
影响因子：
3.8
通讯作者：
Kamaljeet Kaur;K. Kelly
中科院分区：
文献类型：
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作者：
Kamaljeet Kaur;K. Kelly
抽象的。随着气候变化扩大干旱和半干旱地区的范围，与沙尘事件相关的数量、严重程度和健康影响可能会增加。然而，能够捕获灰尘（PM10，直径小于 10 µm 的颗粒物）的监管测量很少，比 PM2.5（直径小于 2.5 µm 的颗粒物）的测量还要稀疏。尽管低成本传感器可以补充监管监测器（正如许多 PM2.5 浓度研究表明的那样），但尽管传感器制造商声称，大多数传感器在测量 PM10 方面并不能有效。本研究重点关注毗邻大盐湖的盐湖谷，该谷最近达到了历史最低点，暴露了 1865 平方公里的干湖床。它根据联邦等效方法（FEM、β 衰减）和研究测量（GRIMM 气溶胶光谱仪模型 1.109）在三个不同地点评估了 Plantower PMS5003（一种常见的低成本 PM 传感器）和 Alphasense OPC-N3（一种用于低成本 PM10 测量的有前途的候选者）的现场性能。在为期一个月的现场研究中，包括盐湖谷的五次粉尘事件，PM10 浓度达到 311 µg m−3，OPC-N3 与 FEM PM10 测量值（R2 = 0.865，RMSE = 12.4 µg m−3）和 GRIMM（R2 = 0.937，RMSE = 17.7 µg m−3）表现出很强的相关性。 PMS 表现出较差到中等的相关性 (R2 0.63) 和 GRIMM 测量值 (R2 > 0.76)，RMSE 下降至 15–25 µg m−3。我们的结果表明，结合使用 PMS（通常在社区中公开提供）和 PM2.5 和 PM10 测量值（例如由 FEM、研究级仪器或 OPC-N3 提供的测量值），可以获得更高分辨率的 PM10 浓度空间估计。
Abstract. As the changing climate expands the extent of arid and semi-arid lands, the number of, severity of, and health effects associated with dust events are likely to increase. However, regulatory measurements capable of capturing dust (PM10, particulate matter smaller than 10 µm in diameter) are sparse, sparser than measurements of PM2.5 (PM smaller than 2.5 µm in diameter). Although low-cost sensors could supplement regulatory monitors, as numerous studies have shown for PM2.5 concentrations, most of these sensors are not effective at measuring PM10 despite claims by sensor manufacturers. This study focuses on the Salt Lake Valley, adjacent to the Great Salt Lake, which recently reached historic lows exposing 1865 km2 of dry lake bed. It evaluated the field performance of the Plantower PMS5003, a common low-cost PM sensor, and the Alphasense OPC-N3, a promising candidate for low-cost measurement of PM10, against a federal equivalent method (FEM, beta attenuation) and research measurements (GRIMM aerosol spectrometer model 1.109) at three different locations. During a month-long field study that included five dust events in the Salt Lake Valley with PM10 concentrations reaching 311 µg m−3, the OPC-N3 exhibited strong correlation with FEM PM10 measurements (R2 = 0.865, RMSE = 12.4 µg m−3) and GRIMM (R2 = 0.937, RMSE = 17.7 µg m−3). The PMS exhibited poor to moderate correlations (R2 0.63) and GRIMM measurements (R2 > 0.76), and the RMSE decreased to 15–25 µg m−3. Our results suggest that it may be possible to obtain better resolved spatial estimates of PM10 concentration using a combination of PMSs (often publicly available in communities) and measurements of PM2.5 and PM10, such as those provided by FEMs, research-grade instrumentation, or the OPC-N3.