Articles | Volume 21, issue 19
https://doi.org/10.5194/acp-21-15081-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-15081-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window
Gang Chen
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Yulia Sosedova
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Datalystica Ltd., Park Innovaare, 5234 Villigen, Switzerland
Francesco Canonaco
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Datalystica Ltd., Park Innovaare, 5234 Villigen, Switzerland
Roman Fröhlich
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Anna Tobler
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Datalystica Ltd., Park Innovaare, 5234 Villigen, Switzerland
Athanasia Vlachou
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Kaspar R. Daellenbach
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Carlo Bozzetti
Datalystica Ltd., Park Innovaare, 5234 Villigen, Switzerland
Christoph Hueglin
Laboratory for Air Pollution and Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600
Dübendorf, Switzerland
Peter Graf
Laboratory for Air Pollution and Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600
Dübendorf, Switzerland
Urs Baltensperger
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Jay G. Slowik
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
Imad El Haddad
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
André S. H. Prévôt
CORRESPONDING AUTHOR
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen, Switzerland
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27 citations as recorded by crossref.
- Organic aerosol sources in Krakow, Poland, before implementation of a solid fuel residential heating ban R. Casotto et al. 10.1016/j.scitotenv.2022.158655
- Rolling vs. seasonal PMF: real-world multi-site and synthetic dataset comparison M. Via et al. 10.5194/amt-15-5479-2022
- Combined organic and inorganic source apportionment on yearlong ToF-ACSM dataset at a suburban station in Athens O. Zografou et al. 10.5194/amt-15-4675-2022
- Identifying and quantifying PM2.5 pollution episodes with a fusion method of moving window technique and constrained Positive Matrix Factorization C. Huang et al. 10.1016/j.envpol.2022.120382
- Volatile Organic Compounds Pollution and Ozone Generation Potential in Xi′an Z. AO et al. 10.3724/EE.1672-9250.2024.52.020
- Real-Time Source Apportionment of Organic Aerosols in Three European Cities G. Chen et al. 10.1021/acs.est.2c02509
- Oxidative potential apportionment of atmospheric PM1: a new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique J. Camman et al. 10.5194/acp-24-3257-2024
- Bulk and molecular-level composition of primary organic aerosol from wood, straw, cow dung, and plastic burning J. Zhang et al. 10.5194/acp-23-14561-2023
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- Substantial contribution of transported emissions to organic aerosol in Beijing K. Daellenbach et al. 10.1038/s41561-024-01493-3
- Large contribution from worship activities to the atmospheric soot particles in northwest China C. Lin et al. 10.1016/j.envpol.2022.118907
- Organic aerosol source apportionment by using rolling positive matrix factorization: Application to a Mediterranean coastal city B. Chazeau et al. 10.1016/j.aeaoa.2022.100176
- Integrating spatially distributed data into Positive Matrix Factorization to identify the hotspots of local emission sources C. Huang et al. 10.1016/j.atmosres.2024.107475
- Linking Switzerland's PM<sub>10</sub> and PM<sub>2.5</sub> oxidative potential (OP) with emission sources S. Grange et al. 10.5194/acp-22-7029-2022
- The effect of the averaging period for PMF analysis of aerosol mass spectrometer measurements during offline applications C. Vasilakopoulou et al. 10.5194/amt-15-6419-2022
- Ambient carbonaceous aerosol levels in Cyprus and the role of pollution transport from the Middle East A. Christodoulou et al. 10.5194/acp-23-6431-2023
- Organic and Elemental Carbon in the Urban Background in an Eastern Mediterranean City T. Hussein et al. 10.3390/atmos13020197
- Investigation of four-year chemical composition and organic aerosol sources of submicron particles at the ATOLL site in northern France H. Chebaicheb et al. 10.1016/j.envpol.2023.121805
- Impact of peri-urban forest fires on air quality and aerosol optical and chemical properties: The case of the August 2021 wildfires in Athens, Greece D. Kaskaoutis et al. 10.1016/j.scitotenv.2023.168028
- Assessing the Impact of Non-Exhaust Emissions on the Asthmatic Airway (IONA) Protocol for a Randomised Three-Exposure Crossover Study J. Scales et al. 10.3390/ijerph21070895
- Seasonality of Aerosol Sources Calls for Distinct Air Quality Mitigation Strategies C. Lin et al. 10.3390/toxics10030121
- A 1-year aerosol chemical speciation monitor (ACSM) source analysis of organic aerosol particle contributions from anthropogenic sources after long-range transport at the TROPOS research station Melpitz S. Atabakhsh et al. 10.5194/acp-23-6963-2023
- An ephemeral increase in organic carbon, ion ratios, and heavy metal-containing fine particles was screened in a maritime demarcation zone between North and South Korea H. Geng et al. 10.1016/j.atmosenv.2023.119950
- Short-term source apportionment of fine particulate matter with time-dependent profiles using SoFi Pro: exploring the reliability of rolling positive matrix factorization (PMF) applied to bihourly molecular and elemental tracer data Q. Wang et al. 10.5194/acp-24-475-2024
- Quantifying New Sources of Ambient Organic Aerosol and Their Roles in Particle Growth Using Oxygenated Organic Molecule (OOM) Tracers Y. Zhao et al. 10.1021/acs.estlett.4c00536
- Uncertainties in source allocation of carbonaceous aerosols in a Mediterranean region H. Navarro-Barboza et al. 10.1016/j.envint.2023.108252
2 citations as recorded by crossref.
- Characterization of non-refractory (NR) PM<sub>1</sub> and source apportionment of organic aerosol in Kraków, Poland A. Tobler et al. 10.5194/acp-21-14893-2021
- Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window G. Chen et al. 10.5194/acp-21-15081-2021
Latest update: 20 Nov 2024
Short summary
A novel, advanced source apportionment technique was applied to a dataset measured in Magadino. Rolling positive matrix factorisation (PMF) allows for retrieving more realistic, time-dependent, and detailed information on organic aerosol sources. The strength of the rolling PMF mechanism is highlighted by comparing it with results derived from conventional seasonal PMF. Overall, this comprehensive interpretation of aerosol chemical speciation monitor data could be a role model for similar work.
A novel, advanced source apportionment technique was applied to a dataset measured in Magadino....
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