Articles | Volume 16, issue 10
https://doi.org/10.5194/amt-16-2455-2023
https://doi.org/10.5194/amt-16-2455-2023
Research article
 | 
24 May 2023
Research article |  | 24 May 2023

Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah

Kamaljeet Kaur and Kerry E. Kelly

Related subject area

Subject: Aerosols | Technique: In Situ Measurement | Topic: Instruments and Platforms
Source apportionment of black carbon and combustion-related CO2 for the determination of source-specific emission factors
Balint Alfoldy, Asta Gregorič, Matic Ivančič, Irena Ježek, and Martin Rigler
Atmos. Meas. Tech., 16, 135–152, https://doi.org/10.5194/amt-16-135-2023,https://doi.org/10.5194/amt-16-135-2023, 2023
Short summary
The Four-Wavelength Photoacoustic Aerosol Absorption Spectrometer PAAS-4λ
Franz Martin Schnaiter, Claudia Linke, Eija Asmi, Henri Servomaa, Antti-Pekka Hyvärinen, Sho Ohata, Yutaka Kondo, and Emma Järvinen
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-332,https://doi.org/10.5194/amt-2022-332, 2023
Revised manuscript accepted for AMT
Short summary
CAMP: an instrumented platform for balloon-borne aerosol particle studies in the lower atmosphere
Christian Pilz, Sebastian Düsing, Birgit Wehner, Thomas Müller, Holger Siebert, Jens Voigtländer, and Michael Lonardi
Atmos. Meas. Tech., 15, 6889–6905, https://doi.org/10.5194/amt-15-6889-2022,https://doi.org/10.5194/amt-15-6889-2022, 2022
Short summary
New method to determine black carbon mass size distribution
Weilun Zhao, Gang Zhao, Ying Li, Song Guo, Nan Ma, Lizi Tang, Zirui Zhang, and Chunsheng Zhao
Atmos. Meas. Tech., 15, 6807–6817, https://doi.org/10.5194/amt-15-6807-2022,https://doi.org/10.5194/amt-15-6807-2022, 2022
Short summary
The realization of autonomous, aircraft-based, real-time aerosol mass spectrometry in the upper troposphere and lower stratosphere
Antonis Dragoneas, Sergej Molleker, Oliver Appel, Andreas Hünig, Thomas Böttger, Markus Hermann, Frank Drewnick, Johannes Schneider, Ralf Weigel, and Stephan Borrmann
Atmos. Meas. Tech., 15, 5719–5742, https://doi.org/10.5194/amt-15-5719-2022,https://doi.org/10.5194/amt-15-5719-2022, 2022
Short summary

Cited articles

Akinwumiju, A. S., Ajisafe, T., and Adelodun, A. A.: Airborne Particulate Matter Pollution in Akure Metro City, Southwestern Nigeria, West Africa: Attribution and Meteorological Influence, Journal of Geovisualization and Spatial Analysis, 5, 11, https://doi.org/10.1007/s41651-021-00079-6, 2021. 
Alhasa, K., Mohd Nadzir, M., Olalekan, P., Latif, M., Yusup, Y., Iqbal Faruque, M., Ahamad, F., Abd. Hamid, H., Aiyub, K., Md Ali, S., Khan, M., Abu Samah, A., Yusuff, I., Othman, M., Tengku Hassim, T., and Ezani, N.: Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System, Sensors, 18, 4380, https://doi.org/10.3390/s18124380, 2018. 
Alphasense Ltd: https://www.alphasense.com/wp-content/uploads/2022/09/Alphasense_OPC-N3_datasheet.pdf, last access: 12 October 2022. 
Ardon-Dryer, K. and Kelley, M. C.: Particle size distribution and particulate matter concentrations during synoptic and convective dust events in West Texas, Atmos. Chem. Phys., 22, 9161–9173, https://doi.org/10.5194/acp-22-9161-2022, 2022. 
Bächler, P., Szabadi, J., Meyer, J., and Dittler, A.: Simultaneous measurement of spatially resolved particle emissions in a pilot plant scale baghouse filter applying distributed low-cost particulate matter sensors, J. Aerosol Sci., 150, 105644, https://doi.org/10.1016/j.jaerosci.2020.105644, 2020. 
Download
Short summary
We evaluated the AlphaSense OPC-N3 and PMS5003 compared to federal equivalent method (FEM) PM10 measurements in the Salt Lake Valley during five dust events. Before correction, the OPC-N3 agreed well, but the PMS PM10 measurements correlated poorly with the FEM. After correcting the PMS with a PM2.5 / PM10 ratio-based factor, the PMS PM10 correlations improved significantly. This suggests the possibility of better resolved spatial estimates of PM10 using PMS measurements and PM2.5 / PM10 ratios.