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10:22
Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
Published on: September 7, 2019
Real-time methods for estimating organic component mass concentrations from aerosol mass spectrometer data
N L Ng1, M R Canagaratna, J L Jimenez
1Aerodyne Research, Inc., Billerica, Massachusetts 01821, United States.
Environmental Science & Technology
|December 29, 2010
Summary
Simple methods using positive matrix factorization (PMF) analysis of urban aerosol mass spectrometer (AMS) data estimate major organic aerosol (OA) components in real time. These approaches, including tracer and chemical mass balance methods, achieve accurate OA concentration estimations.
Area of Science:
- Atmospheric Chemistry
- Aerosol Science
- Environmental Monitoring
Background:
- Organic aerosol (OA) is a major component of fine particulate matter.
- Accurate real-time estimation of OA components is crucial for air quality studies.
- Positive Matrix Factorization (PMF) is a common tool for resolving OA sources.
Purpose of the Study:
- To develop and evaluate simple, real-time methods for estimating major organic aerosol (OA) component concentrations.
- To assess the accuracy of these methods against detailed PMF analysis.
- To identify optimal strategies for hybrid chemical mass balance (CMB) approaches.
Main Methods:
- Utilized 15 urban aerosol mass spectrometer (AMS) datasets analyzed by PMF.
- Characterized variability in component mass spectral (MS) profiles across sites.
- Evaluated a tracer m/z method and a CMB method for estimating hydrocarbon-like OA (HOA) and oxygenated OA (OOA) concentrations.
Main Results:
- Both the tracer m/z and CMB methods reproduced HOA and OOA concentrations within approximately 30% of detailed PMF results.
- The CMB method showed slightly better performance compared to the tracer m/z method.
- Hybrid CMB methods performed best when fixing the low-volatility OOA (LV-OOA) spectrum.
Conclusions:
- Simple, real-time estimation methods for OA components are feasible and provide reasonable accuracy.
- The CMB method offers a reliable approach for estimating HOA and OOA concentrations.
- Optimized hybrid CMB techniques can further enhance the accuracy of OA source apportionment.
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