Articles | Volume 17, issue 12
https://doi.org/10.5194/acp-17-7653-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-7653-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Modelling winter organic aerosol at the European scale with CAMx: evaluation and source apportionment with a VBS parameterization based on novel wood burning smog chamber experiments
Giancarlo Ciarelli
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
now at: Laboratoire Inter-Universitaire des Systèmes Atmosphériques (LISA), UMR CNRS 7583, Université
Paris Est Créteil et Université Paris Diderot, Institut Pierre Simon Laplace, Créteil, France
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
Imad El Haddad
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
Emily A. Bruns
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
Monica Crippa
European Commission, Joint Research Centre (JRC), Directorate for Energy, Transport and Climate, Air and Climate Unit, Via E. Fermi 2749, 21027 Ispra (VA), Italy
Laurent Poulain
Leibniz Institute for Tropospheric Research (TROPOS), Permoserstr. 15, 04318 Leipzig, Germany
Mikko Äijälä
Department of Physics, University of Helsinki, Helsinki, Finland
Samara Carbone
Institute of Physics, University of São Paulo, Rua do Matão Travessa R, 187, 05508-090 São Paulo, S.P., Brazil
Evelyn Freney
Laboratoire de Météorologie Physique (LaMP), CNRS/Université Blaise Pascal, Clermont-Ferrand, France
Colin O'Dowd
School of Physics and Centre for Climate & Air Pollution Studies, Ryan Institute, National University of Ireland Galway, University Road, Galway, Ireland
Urs Baltensperger
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
André S. H. Prévôt
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
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51 citations as recorded by crossref.
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- Atmospheric Reactivity of Methoxyphenols: A Review C. Liu et al. 10.1021/acs.est.1c06535
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- Prediction model of air pollutant concentration based on deep neural network: A case study of Fushun, Liaoning Province F. Lei et al. 10.1088/1755-1315/467/1/012151
- Kinetic and Theoretical Study of the Atmospheric Aqueous-Phase Reactions of OH Radicals with Methoxyphenolic Compounds L. He et al. 10.1021/acs.jpca.9b05696
- Simulation of the evolution of biomass burning organic aerosol with different volatility basis set schemes in PMCAMx-SRv1.0 G. Theodoritsi et al. 10.5194/gmd-14-2041-2021
51 citations as recorded by crossref.
- Investigating the role of chemical and physical processes on organic aerosol modelling with CAMx in the Po Valley during a winter episode A. Meroni et al. 10.1016/j.atmosenv.2017.10.004
- Secondary organic aerosol formation and aging from ambient air in an oxidation flow reactor during wintertime in Beijing, China W. Xu et al. 10.1016/j.envres.2022.112751
- Enhanced air quality modelling through AUSTAL2000 model in Milan urban area N. Pepe et al. 10.1088/1755-1315/296/1/012012
- Influence of semi- and intermediate-volatile organic compounds (S/IVOC) parameterizations, volatility distributions and aging schemes on organic aerosol modelling in winter conditions P. Giani et al. 10.1016/j.atmosenv.2019.05.061
- Modeling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC (intermediate-volatility organic compound) emissions V. Lannuque et al. 10.5194/acp-20-4905-2020
- One-year measurements of secondary organic aerosol (SOA) markers in the Paris region (France): Concentrations, gas/particle partitioning and SOA source apportionment G. Lanzafame et al. 10.1016/j.scitotenv.2020.143921
- Heterogeneous kinetics of methoxyphenols in the OH-initiated reactions under different experimental conditions C. Liu & C. Zeng 10.1016/j.chemosphere.2018.06.131
- Atmospheric Reactivity of Methoxyphenols: A Review C. Liu et al. 10.1021/acs.est.1c06535
- Modeling of carbonaceous aerosols for air pollution health impact studies in Europe N. Paisi et al. 10.1007/s11869-023-01464-4
- Modeling atmospheric aging of small-scale wood combustion emissions: distinguishing causal effects from non-causal associations V. Leinonen et al. 10.1039/D2EA00048B
- Effects of two different biogenic emission models on modelled ozone and aerosol concentrations in Europe J. Jiang et al. 10.5194/acp-19-3747-2019
- Combined Eulerian-Lagrangian Hybrid Modelling System for PM2.5 and Elemental Carbon Source Apportionment at the Urban Scale in Milan G. Lonati et al. 10.3390/atmos11101078
- Sources of particulate-matter air pollution and its oxidative potential in Europe K. Daellenbach et al. 10.1038/s41586-020-2902-8
- Constraining a hybrid volatility basis-set model for aging of wood-burning emissions using smog chamber experiments: a box-model study based on the VBS scheme of the CAMx model (v5.40) G. Ciarelli et al. 10.5194/gmd-10-2303-2017
- Evaluation of modelled LOTOS-EUROS with observational based PM10 source attribution R. Timmermans et al. 10.1016/j.aeaoa.2022.100173
- The second ACTRIS inter-comparison (2016) for Aerosol Chemical Speciation Monitors (ACSM): Calibration protocols and instrument performance evaluations E. Freney et al. 10.1080/02786826.2019.1608901
- Altitude Aerosol Measurements in Central France: Seasonality, Sources and Free‐Troposphere/Boundary Layer Segregation A. Farah et al. 10.1029/2019EA001018
- Application of smog chambers in atmospheric process studies B. Chu et al. 10.1093/nsr/nwab103
- Modeling organic aerosol concentrations and properties during winter 2014 in the northwestern Mediterranean region M. Chrit et al. 10.5194/acp-18-18079-2018
- Volatility Measurements of Oxygenated Volatile Organics from Fresh and Aged Residential Wood Burning Emissions M. Priestley et al. 10.1021/acsearthspacechem.3c00066
- Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator E. Reyes-Villegas et al. 10.5194/acp-23-5763-2023
- Rate constant and secondary organic aerosol formation from the gas-phase reaction of eugenol with hydroxyl radicals C. Liu et al. 10.5194/acp-19-2001-2019
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- Long-term urban air quality prediction with hierarchical attention loop network H. Zheng et al. 10.1016/j.scs.2024.106010
- Comparison of Measurement-Based Methodologies to Apportion Secondary Organic Carbon (SOC) in PM2.5: A Review of Recent Studies D. Srivastava et al. 10.3390/atmos9110452
- Secondary organic aerosol formation from smoldering and flaming combustion of biomass: a box model parametrization based on volatility basis set G. Stefenelli et al. 10.5194/acp-19-11461-2019
- High Resolution Urban Air Quality Modeling by Coupling CFD and Mesoscale Models: a Review R. Kadaverugu et al. 10.1007/s13143-019-00110-3
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- Secondary organic aerosol formation from the OH-initiated oxidation of guaiacol under different experimental conditions C. Liu et al. 10.1016/j.atmosenv.2019.03.021
- Nonlinear behavior of organic aerosol in biomass burning plumes: a microphysical model analysis I. Konovalov et al. 10.5194/acp-19-12091-2019
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- Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass‐Conserving Dimensionality Reduction Method P. Sturm et al. 10.1029/2022MS003235
- Sources of organic aerosols in Europe: a modeling study using CAMx with modified volatility basis set scheme J. Jiang et al. 10.5194/acp-19-15247-2019
- Emissions of Carbonaceous Particulate Matter and Ultrafine Particles from Vehicles—A Scientific Review in a Cross-Cutting Context of Air Pollution and Climate Change B. Bessagnet et al. 10.3390/app12073623
- Development of volatility distributions for organic matter in biomass burning emissions A. Sinha et al. 10.1039/D2EA00080F
- Source Apportionment of Brown Carbon Absorption by Coupling Ultraviolet–Visible Spectroscopy with Aerosol Mass Spectrometry V. Moschos et al. 10.1021/acs.estlett.8b00118
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- Evaluating SOA formation from different sources of semi- and intermediate-volatility organic compounds from the Athabasca oil sands J. Sommers et al. 10.1039/D1EA00053E
- Impact of urbanization on fine particulate matter concentrations over central Europe P. Huszar et al. 10.5194/acp-24-397-2024
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- Iron and steel industry emissions and contribution to the air quality in China L. Tang et al. 10.1016/j.atmosenv.2020.117668
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- Enhanced CAMx source apportionment analysis at an urban receptor in Milan based on source categories and emission regions N. Pepe et al. 10.1016/j.aeaoa.2019.100020
- EURODELTA III exercise: An evaluation of air quality models’ capacity to reproduce the carbonaceous aerosol M. Mircea et al. 10.1016/j.aeaoa.2019.100018
- Influence of biomass burning vapor wall loss correction on modeling organic aerosols in Europe by CAMx v6.50 J. Jiang et al. 10.5194/gmd-14-1681-2021
- Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources L. Bartík et al. 10.5194/acp-24-4347-2024
- Prediction model of air pollutant concentration based on deep neural network: A case study of Fushun, Liaoning Province F. Lei et al. 10.1088/1755-1315/467/1/012151
- Kinetic and Theoretical Study of the Atmospheric Aqueous-Phase Reactions of OH Radicals with Methoxyphenolic Compounds L. He et al. 10.1021/acs.jpca.9b05696
- Simulation of the evolution of biomass burning organic aerosol with different volatility basis set schemes in PMCAMx-SRv1.0 G. Theodoritsi et al. 10.5194/gmd-14-2041-2021
Latest update: 14 Dec 2024
Short summary
Organic aerosol (OA) comprises the main fraction of fine particulate matter (PM1). Using a new VBS parameterization, we performed model-based source apportionment studies to assess the importance of different emission sources to the total OA loads in Europe during winter periods. Our results indicate that residential wood burning emissions represent the major source of OA, followed by non-residential emission sources (i.e. traffic and industries).
Organic aerosol (OA) comprises the main fraction of fine particulate matter (PM1). Using a new...
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