Articles | Volume 15, issue 11
https://doi.org/10.5194/amt-15-3315-2022
© 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-15-3315-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jun 2022
Research article |
| 03 Jun 2022
| 03 Jun 2022
Development and evaluation of correction models for a low-cost fine particulate matter monitor
Brayden Nilson
CORRESPONDING AUTHOR
Department of Geography, Earth and Environmental Sciences, University
of Northern British Columbia, Prince George, V2N 4Z9, Canada
Air Quality Science – West, Meteorological Service of Canada,
Environment and Climate Change Canada, Vancouver, V6C 3S5, Canada
Peter L. Jackson
Department of Geography, Earth and Environmental Sciences, University
of Northern British Columbia, Prince George, V2N 4Z9, Canada
Corinne L. Schiller
Department of Geography, Earth and Environmental Sciences, University
of Northern British Columbia, Prince George, V2N 4Z9, Canada
Air Quality Science – West, Meteorological Service of Canada,
Environment and Climate Change Canada, Vancouver, V6C 3S5, Canada
Matthew T. Parsons
Air Quality Science – West, Meteorological Service of Canada,
Environment and Climate Change Canada, Vancouver, V6C 3S5, Canada
Viewed
Total article views: 4,253 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jan 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,119 | 1,028 | 106 | 4,253 | 162 | 79 | 106 |
- HTML: 3,119
- PDF: 1,028
- XML: 106
- Total: 4,253
- Supplement: 162
- BibTeX: 79
- EndNote: 106
Total article views: 3,001 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Jun 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,359 | 557 | 85 | 3,001 | 162 | 66 | 87 |
- HTML: 2,359
- PDF: 557
- XML: 85
- Total: 3,001
- Supplement: 162
- BibTeX: 66
- EndNote: 87
Total article views: 1,252 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 760 | 471 | 21 | 1,252 | 13 | 19 |
- HTML: 760
- PDF: 471
- XML: 21
- Total: 1,252
- BibTeX: 13
- EndNote: 19
Viewed (geographical distribution)
Total article views: 4,253 (including HTML, PDF, and XML)
Thereof 4,215 with geography defined
and 38 with unknown origin.
Total article views: 3,001 (including HTML, PDF, and XML)
Thereof 2,995 with geography defined
and 6 with unknown origin.
Total article views: 1,252 (including HTML, PDF, and XML)
Thereof 1,220 with geography defined
and 32 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- Calibrating networks of low-cost air quality sensors P. deSouza et al. 10.5194/amt-15-6309-2022
- Diagnosing domestic and transboundary sources of fine particulate matter (PM2.5) in UK cities using GEOS-Chem J. Kelly et al. 10.1016/j.cacint.2023.100100
- Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al. 10.5194/amt-17-1051-2024
- Evaluation of calibration performance of a low-cost particulate matter sensor using collocated and distant NO2 K. Ko et al. 10.5194/amt-17-3303-2024
- Calibration of PurpleAir low-cost particulate matter sensors: model development for air quality under high relative humidity conditions M. Mathieu-Campbell et al. 10.5194/amt-17-6735-2024
- Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke K. Barkjohn et al. 10.3390/s22249669
- Comparison of outlier detection approaches in a Smart Cities sensor data context S. Zafeirelli & D. Kavroudakis 10.2478/ijssis-2024-0004
- Enhancing Wildfire Smoke Exposure Assessment: A Machine Learning Approach to Predict Indoor PM2.5 in British Columbia, Canada E. Coker et al. 10.1021/acsestair.4c00204
- Indoor air quality assessment using low-cost sensors, and impact of outdoors Y. Dahima & A. Vaishya 10.1007/s11869-025-01843-z
- Low-Cost Particulate Matter Mass Sensors: Review of the Status, Challenges, and Opportunities for Single-Instrument and Network Calibration J. Zhang et al. 10.1021/acssensors.4c03293
- Spatial Variation of PM2.5 Indoors and Outdoors: Results from 261 Regulatory Monitors Compared to 14,000 Low-Cost Monitors in Three Western States over 4.7 Years L. Wallace & T. Zhao 10.3390/s23094387
- Retrieval of bulk hygroscopicity from PurpleAir PM2.5 sensor measurements J. Psotka et al. 10.5194/amt-18-3135-2025
- Sens-BERT: A BERT-Based Approach for Enabling Transferability and Re-Calibration of Calibration Models for Low-Cost Sensors Under Reference Measurements Scarcity M. Narayana et al. 10.1109/JSEN.2024.3362962
- Unveiling the Limits of Existing Correction Factors for a Low-Cost PM2.5 Sensor in Cold Environments and Development of a Tailored Solution J. Leenose et al. 10.1021/acsestair.5c00018
14 citations as recorded by crossref.
- Calibrating networks of low-cost air quality sensors P. deSouza et al. 10.5194/amt-15-6309-2022
- Diagnosing domestic and transboundary sources of fine particulate matter (PM2.5) in UK cities using GEOS-Chem J. Kelly et al. 10.1016/j.cacint.2023.100100
- Towards a hygroscopic growth calibration for low-cost PM2.5 sensors M. Patel et al. 10.5194/amt-17-1051-2024
- Evaluation of calibration performance of a low-cost particulate matter sensor using collocated and distant NO2 K. Ko et al. 10.5194/amt-17-3303-2024
- Calibration of PurpleAir low-cost particulate matter sensors: model development for air quality under high relative humidity conditions M. Mathieu-Campbell et al. 10.5194/amt-17-6735-2024
- Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke K. Barkjohn et al. 10.3390/s22249669
- Comparison of outlier detection approaches in a Smart Cities sensor data context S. Zafeirelli & D. Kavroudakis 10.2478/ijssis-2024-0004
- Enhancing Wildfire Smoke Exposure Assessment: A Machine Learning Approach to Predict Indoor PM2.5 in British Columbia, Canada E. Coker et al. 10.1021/acsestair.4c00204
- Indoor air quality assessment using low-cost sensors, and impact of outdoors Y. Dahima & A. Vaishya 10.1007/s11869-025-01843-z
- Low-Cost Particulate Matter Mass Sensors: Review of the Status, Challenges, and Opportunities for Single-Instrument and Network Calibration J. Zhang et al. 10.1021/acssensors.4c03293
- Spatial Variation of PM2.5 Indoors and Outdoors: Results from 261 Regulatory Monitors Compared to 14,000 Low-Cost Monitors in Three Western States over 4.7 Years L. Wallace & T. Zhao 10.3390/s23094387
- Retrieval of bulk hygroscopicity from PurpleAir PM2.5 sensor measurements J. Psotka et al. 10.5194/amt-18-3135-2025
- Sens-BERT: A BERT-Based Approach for Enabling Transferability and Re-Calibration of Calibration Models for Low-Cost Sensors Under Reference Measurements Scarcity M. Narayana et al. 10.1109/JSEN.2024.3362962
- Unveiling the Limits of Existing Correction Factors for a Low-Cost PM2.5 Sensor in Cold Environments and Development of a Tailored Solution J. Leenose et al. 10.1021/acsestair.5c00018
Latest update: 02 Nov 2025
Download
The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.
- Article
(2461 KB) - Full-text XML
- Corrigendum
-
Supplement
(765 KB) - BibTeX
- EndNote
Short summary
Correction models were developed using PurpleAir–Federal Equivalent Method (FEM) hourly fine particulate matter (PM2.5) observation colocation sites across North America (NA). These were evaluated in comparison with four existing models at an additional 15 NA colocation sites. This study provides a robust framework for the evaluation of low-cost PM2.5 sensor correction models using the Canadian AQHI+ system and presents an optimized general correction model for North American PA sensors.
Correction models were developed using PurpleAir–Federal Equivalent Method (FEM) hourly fine...
