Development and evaluation of correction models for a low-cost fine particulate matter monitor
Abstract 2.5) observation colocation sites across North America (NA). These were evaluated in comparison with four existing models from external sources using the data from 15 additional NA colocation sites. Colocation sites were determined automatically based on proximity and a novel quality control process. The Canadian Air Quality Health Index Plus (AQHI+ PM 2.5 - corrected = PM 2.5 - cf - 1/(1 + 0.24/(100/RH % - 1)), where RH is limited to the range [ 30 %, 70 % ], which is based on the RH growth model developed by Crilley et al. (2018). Corrected concentrations from this model in the moderate to high range, the range most impactful to human health, outperformed all other models in most comparisons. Model 7 (Barkjohn et al., 2021) was a close runner-up and excelled in the low-concentration range (most common to NA). The correction models do not perform the same at different locations, and thus we recommend testing several models at nearby colocation sites and utilizing that which performs best if possible. If no nearby colocation site is available, we recommend using our Model 2. This study provides a robust framework for the evaluation of low-cost PM2.5 sensor correction models and presents an optimized correction model for North American PurpleAir (PA) sensors.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Development and evaluation of correction models for a low-cost fine particulate matter monitor ; volume:15 ; number:11 ; year:2022 ; pages:3315-3328 ; extent:14
Atmospheric measurement techniques ; 15, Heft 11 (2022), 3315-3328 (gesamt 14)
- Creator
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Nilson, Brayden
Jackson, Peter L.
Schiller, Corinne L.
Parsons, Matthew T.
- DOI
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10.5194/amt-15-3315-2022
- URN
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urn:nbn:de:101:1-2022060905205922138422
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:26 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Nilson, Brayden
- Jackson, Peter L.
- Schiller, Corinne L.
- Parsons, Matthew T.
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