Articles | Volume 22, issue 8
https://doi.org/10.5194/acp-22-5577-2022
© Author(s) 2022. 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-22-5577-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Apr 2022
Research article |
| 27 Apr 2022
| 27 Apr 2022
The impact of temperature inversions on black carbon and particle mass concentrations in a mountainous area
Department of Geography, Faculty of Arts, University of Ljubljana,
Ljubljana, 1000, Slovenia
Griša Močnik
Department of Condensed Matter Physics, Jozef Stefan Institute,
Ljubljana, 1000, Slovenia
Center for Atmospheric Research, University of Nova Gorica,
Ajdovščina, 5270, Slovenia
Honey Dawn C. Alas
Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany
Andrea Cuesta-Mosquera
Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany
Luka Drinovec
Department of Condensed Matter Physics, Jozef Stefan Institute,
Ljubljana, 1000, Slovenia
Center for Atmospheric Research, University of Nova Gorica,
Ajdovščina, 5270, Slovenia
Asta Gregorič
Aerosol d.o.o., Ljubljana, 1000, Slovenia
Center for Atmospheric Research, University of Nova Gorica,
Ajdovščina, 5270, Slovenia
Matej Ogrin
Department of Geography, Faculty of Arts, University of Ljubljana,
Ljubljana, 1000, Slovenia
Kay Weinhold
Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany
Irena Ježek
Aerosol d.o.o., Ljubljana, 1000, Slovenia
Thomas Müller
Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany
Martin Rigler
Aerosol d.o.o., Ljubljana, 1000, Slovenia
Maja Remškar
Department of Condensed Matter Physics, Jozef Stefan Institute,
Ljubljana, 1000, Slovenia
Dominik van Pinxteren
Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany
Hartmut Herrmann
Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany
Martina Ristorini
Department of Bioscience and Territory, University of Molise, Pesche,
86090, Italy
Maik Merkel
Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany
Miha Markelj
Škovine 4, Žlezniki, 4228, Slovenia
now at: Norwegian Institute for Air Research, Urban Environment and Industry Department, 2027 Kjeller, Norway
Alfred Wiedensohler
Experimental Aerosol and Cloud Microphysics, Leibniz Institute for Tropospheric Research, Leipzig 04318, Germany
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Cited
15 citations as recorded by crossref.
- Mixture Regression for Clustering Atmospheric-Sounding Data: A Study of the Relationship between Temperature Inversions and PM10 Concentrations P. Mlakar & J. Faganeli Pucer 10.3390/atmos14030481
- The impact of atmospheric motions on source-specific black carbon and the induced direct radiative effects over a river-valley region H. Liu et al. 10.5194/acp-22-11739-2022
- Global warming in the pipeline J. Hansen et al. 10.1093/oxfclm/kgad008
- Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles M. Jiang et al. 10.1038/s41370-023-00607-0
- Drone-Based Atmospheric Soundings Up to an Altitude of 10 km-Technical Approach towards Operations K. Bärfuss et al. 10.3390/drones6120404
- Investigation of Aerosol Types and Vertical Distributions Using Polarization Raman Lidar over Vipava Valley L. Wang et al. 10.3390/rs14143482
- Optical properties and simple forcing efficiency of the organic aerosols and black carbon emitted by residential wood burning in rural central Europe A. Cuesta-Mosquera et al. 10.5194/acp-24-2583-2024
- Annual variation of source contributions to PM10 and oxidative potential in a mountainous area with traffic, biomass burning, cement-plant and biogenic influences K. Glojek et al. 10.1016/j.envint.2024.108787
- Podnebna tipizacija Slovenije po podatkih za obdobje 1991–2020 D. Ogrin et al. 10.4312/dela.59.5-89
- Indoor cooking and cleaning as a source of outdoor air pollution in urban environments T. Carter et al. 10.1039/D3EM00512G
- High-Resolution Emissions from Wood Burning in Norway—The Effect of Cabin Emissions S. Lopez-Aparicio et al. 10.3390/en15249332
- Enviro-HIRLAM model estimates of elevated black carbon pollution over Ukraine resulted from forest fires M. Savenets et al. 10.5194/acp-22-15777-2022
- Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China Z. Qian et al. 10.3390/toxics11060481
- Black carbon in contrasting environments in India: Temporal variability, source apportionment and radiative forcing B. Romshoo et al. 10.1016/j.atmosenv.2023.119734
- Source apportionment of black carbon and combustion-related CO2 for the determination of source-specific emission factors B. Alfoldy et al. 10.5194/amt-16-135-2023
15 citations as recorded by crossref.
- Mixture Regression for Clustering Atmospheric-Sounding Data: A Study of the Relationship between Temperature Inversions and PM10 Concentrations P. Mlakar & J. Faganeli Pucer 10.3390/atmos14030481
- The impact of atmospheric motions on source-specific black carbon and the induced direct radiative effects over a river-valley region H. Liu et al. 10.5194/acp-22-11739-2022
- Global warming in the pipeline J. Hansen et al. 10.1093/oxfclm/kgad008
- Application of artificial intelligence in quantifying lung deposition dose of black carbon in people with exposure to ambient combustion particles M. Jiang et al. 10.1038/s41370-023-00607-0
- Drone-Based Atmospheric Soundings Up to an Altitude of 10 km-Technical Approach towards Operations K. Bärfuss et al. 10.3390/drones6120404
- Investigation of Aerosol Types and Vertical Distributions Using Polarization Raman Lidar over Vipava Valley L. Wang et al. 10.3390/rs14143482
- Optical properties and simple forcing efficiency of the organic aerosols and black carbon emitted by residential wood burning in rural central Europe A. Cuesta-Mosquera et al. 10.5194/acp-24-2583-2024
- Annual variation of source contributions to PM10 and oxidative potential in a mountainous area with traffic, biomass burning, cement-plant and biogenic influences K. Glojek et al. 10.1016/j.envint.2024.108787
- Podnebna tipizacija Slovenije po podatkih za obdobje 1991–2020 D. Ogrin et al. 10.4312/dela.59.5-89
- Indoor cooking and cleaning as a source of outdoor air pollution in urban environments T. Carter et al. 10.1039/D3EM00512G
- High-Resolution Emissions from Wood Burning in Norway—The Effect of Cabin Emissions S. Lopez-Aparicio et al. 10.3390/en15249332
- Enviro-HIRLAM model estimates of elevated black carbon pollution over Ukraine resulted from forest fires M. Savenets et al. 10.5194/acp-22-15777-2022
- Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China Z. Qian et al. 10.3390/toxics11060481
- Black carbon in contrasting environments in India: Temporal variability, source apportionment and radiative forcing B. Romshoo et al. 10.1016/j.atmosenv.2023.119734
- Source apportionment of black carbon and combustion-related CO2 for the determination of source-specific emission factors B. Alfoldy et al. 10.5194/amt-16-135-2023
Latest update: 22 Nov 2024
Short summary
A pilot study to determine the emissions of wood burning under
real-world laboratoryconditions was conducted. We found that measured black carbon (eBC) and particulate matter (PM) in rural shallow terrain depressions with residential wood burning could be much greater than predicted by models. The exceeding levels are a cause for concern since similar conditions can be expected in numerous hilly and mountainous regions across Europe, where approximately 20 % of the total population lives.
A pilot study to determine the emissions of wood burning under
real-world laboratoryconditions...
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