Towards a hygroscopic growth calibration for low-cost PM<sub>2.5</sub> sensors

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Abstract 2.5 mass concentration measurements. We use 2 years of measurements from the Berkeley Environmental Air-quality and CO2 Network sensors deployed in San Francisco and Los Angeles in our analysis. The calibration uses a hygroscopic growth correction factor derived from κ ∼ 40  % from the uncalibrated data and maintains a mean bias much smaller than the EPA national calibration scheme (- 0.90 vs - 2.73  µ g m- 3). We also find that calibration parameters forecasted beyond those fit with the EPA reference data continue to outperform the uncalibrated data and EPA calibration data, enabling real-time application of the calibration scheme even in the absence of reference data. While the correction greatly improves the data accuracy, non-Gaussian distribution of the residuals suggests that other processes besides hygroscopic growth can be parameterized for future improvement of this calibration.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Towards a hygroscopic growth calibration for low-cost PM2.5 sensors ; volume:17 ; number:3 ; year:2024 ; pages:1051-1060 ; extent:10
Atmospheric measurement techniques ; 17, Heft 3 (2024), 1051-1060 (gesamt 10)

Urheber
Patel, Milan Y.
Vannucci, Pietro F.
Kim, Jinsol
Berelson, William M.
Cohen, Ronald Carl

DOI
10.5194/amt-17-1051-2024
URN
urn:nbn:de:101:1-2024021503203827053918
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:35 MESZ

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