Articles | Volume 15, issue 3
https://doi.org/10.5194/amt-15-655-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-655-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating the PurpleAir monitor as an aerosol light scattering instrument
James R. Ouimette
CORRESPONDING AUTHOR
Sonoma Ecology Center, Eldridge, CA 95431, USA
William C. Malm
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80523, USA
Bret A. Schichtel
National Park Service Air Resources Division, Lakewood, CO 80225, USA
Patrick J. Sheridan
NOAA Global Monitoring Laboratory, Boulder, CO 80305, USA
Elisabeth Andrews
NOAA Global Monitoring Laboratory, Boulder, CO 80305, USA
Cooperative Institute for Research in Environmental Sciences,
University of Colorado, Boulder, CO 80309, USA
John A. Ogren
NOAA Global Monitoring Laboratory, Boulder, CO 80305, USA
retired
W. Patrick Arnott
Department of Physics, University of Nevada, Reno, NV 89557, USA
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40 citations as recorded by crossref.
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Fundamentals of low-cost aerosol sensor design and operation J. Ouimette et al. 10.1080/02786826.2023.2285935
- Seasonally optimized calibrations improve low-cost sensor performance: long-term field evaluation of PurpleAir sensors in urban and rural India M. Campmier et al. 10.5194/amt-16-4357-2023
- Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo D. Westervelt et al. 10.1021/acsestair.3c00024
- Observationally constrained mass balance box model analysis of aerosol mitigation potential using fan powered filters S. Wang et al. 10.1088/2515-7620/ad1422
- Laboratory evaluation of the Alphasense OPC-N3, and the Plantower PMS5003 and PMS6003 sensors K. Kaur & K. Kelly 10.1016/j.jaerosci.2023.106181
- An In-Field Assessment of the P.ALP Device in Four Different Real Working Conditions: A Performance Evaluation in Particulate Matter Monitoring G. Fanti et al. 10.3390/toxics12040233
- What can we learn from nested IoT low‐cost sensor networks for air quality? A case study of PM2.5 in Birmingham, UK N. Cowell et al. 10.1002/met.2220
- Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al. 10.5194/amt-17-1051-2024
- Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain G. Kosmopoulos et al. 10.3390/s23146541
- Assessment of aerosol persistence in ICUs via low-cost sensor network and zonal models K. Glenn et al. 10.1038/s41598-023-30778-7
- Particulate matter in a lockdown home: evaluation, calibration, results and health risk from an IoT enabled low-cost sensor network for residential air quality monitoring N. Cowell et al. 10.1039/D2EA00124A
- Investigation of indoor air quality in university residences using low-cost sensors R. Afroz et al. 10.1039/D2EA00149G
- Temporal variability and regional influences of PM2.5 in the West African cities of Abidjan (Côte d'Ivoire) and Accra (Ghana) J. Bahino et al. 10.1039/D4EA00012A
- Urban Air Quality Management at Low Cost Using Micro Air Sensors: A Case Study from Accra, Ghana C. Hodoli et al. 10.1021/acsestair.4c00172
- Performance evaluation of MOMA (MOment MAtching) – a remote network calibration technique for PM2.5 and PM10 sensors L. Weissert et al. 10.5194/amt-16-4709-2023
- Optical properties of biomass burning aerosol during the 2021 Oregon fire season: comparison between wild and prescribed fires A. Marsavin et al. 10.1039/D2EA00118G
- A Smoke Chamber Study on Some Low-Cost Sensors for Monitoring Size-Segregated Aerosol and Microclimatic Parameters L. Bencs & A. Nagy 10.3390/atmos15030304
- Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment A. Caseiro et al. 10.1039/D4EA00086B
- Quantifying impact of correlated predictors on low-cost sensor PM2.5 data using KZ filter V. Kumar et al. 10.3389/fams.2024.1368147
- Emissions and exposure to NOx, CO, CO2 and PM2.5 from a gas stove using reference and low-cost sensors D. Jaffe & A. Creekmore 10.1016/j.atmosenv.2024.120564
- First in-Lab Testing of a Cost-Effective Prototype for PM2.5 Monitoring: The P.ALP Assessment G. Fanti et al. 10.3390/s24185915
- Equivalent radius of atmosphere aerosol in haze weather based on laser scattering G. Feng et al. 10.1364/AO.509518
- A model for rapid PM2.5 exposure estimates in wildfire conditions using routinely available data: rapidfire v0.1.3 S. Raffuse et al. 10.5194/gmd-17-381-2024
- The impact of coal trains on PM2.5 in the San Francisco Bay area B. Ostro et al. 10.1007/s11869-023-01333-0
- Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number Concentrations F. Bulot et al. 10.3390/s23177657
- Spectral analysis approach for assessing the accuracy of low-cost air quality sensor network data V. Kumar et al. 10.5194/amt-16-5415-2023
- Factors influencing particle resuspension and dispersion: An experimental study using test-track measurements B. Obeid et al. 10.1016/j.trd.2024.104321
- The dependence of PurpleAir sensors on particle size distribution and meteorology and their relationship to integrating nephelometers W. Malm et al. 10.1016/j.atmosenv.2024.120757
- Size-Resolved Field Performance of Low-Cost Sensors for Particulate Matter Air Pollution E. Molina Rueda et al. 10.1021/acs.estlett.3c00030
- Field and laboratory evaluation of PurpleAir low-cost aerosol sensors in monitoring indoor airborne particles S. Park et al. 10.1016/j.buildenv.2023.110127
- PM2.5 Concentrations in a Rapidly Developing Neighborhood in the City of Lomé, Togo S. Hèzouwè et al. 10.13005/ojc/400117
- Improving PM10 sensor accuracy in urban areas through calibration in Timișoara R. Blaga & S. Gautam 10.1038/s41612-024-00812-0
- Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke K. Barkjohn et al. 10.3390/s22249669
- An evaluation of the U.S. EPA's correction equation for PurpleAir sensor data in smoke, dust, and wintertime urban pollution events D. Jaffe et al. 10.5194/amt-16-1311-2023
- Technical note: Identifying a performance change in the Plantower PMS 5003 particulate matter sensor N. Searle et al. 10.1016/j.jaerosci.2023.106256
- Insights into low-cost pm sensors using size-resolved scattering intensity of cooking aerosols in a test house A. Thakur et al. 10.1080/02786826.2024.2342722
- Performance evaluation of the Alphasense OPC-N3 and Plantower PMS5003 sensor in measuring dust events in the Salt Lake Valley, Utah K. Kaur & K. Kelly 10.5194/amt-16-2455-2023
- Characterisation and calibration of low-cost PM sensors at high temporal resolution to reference-grade performance F. Bulot et al. 10.1016/j.heliyon.2023.e15943
- A review of regulatory standard test methods for residential wood heaters and recommendations for their advancement J. Caubel et al. 10.1016/j.rser.2023.113501
4 citations as recorded by crossref.
- Low-Cost Sensor Performance Intercomparison, Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring in Accra, Ghana G. Raheja et al. 10.1021/acs.est.2c09264
- Evaluating the PurpleAir monitor as an aerosol light scattering instrument J. Ouimette et al. 10.5194/amt-15-655-2022
- A Network of Field-Calibrated Low-Cost Sensor Measurements of PM2.5 in Lomé, Togo, Over One to Two Years G. Raheja et al. 10.1021/acsearthspacechem.1c00391
- Impactos na saúde humana causados pela exposição a incêndios florestais: as evidências obtidas nas últimas duas décadas S. Caumo et al. 10.55761/abclima.v30i18.15130
Latest update: 13 Dec 2024
Short summary
We show that the low-cost PurpleAir sensor can be characterized as a cell-reciprocal nephelometer. At two very different locations (Mauna Loa Observatory in Hawaii and the Table Mountain rural site in Colorado), the PurpleAir measurements are highly correlated with the submicrometer aerosol scattering coefficient measured by a research-grade integrating nephelometer. These results imply that, with care, PurpleAir data may be used to evaluate climate and air quality models.
We show that the low-cost PurpleAir sensor can be characterized as a cell-reciprocal...