Dispersion of particulate matter (PM<sub>2.5</sub>) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations

Wolf, Tobias; Pettersson, Lasse H.; Esau, Igor

doi:https://doi.org/10.5194/acp-21-12463-2021

Articles | Volume 21, issue 16

Atmos. Chem. Phys., 21, 12463–12477, 2021

https://doi.org/10.5194/acp-21-12463-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Pan-Eurasian Experiment (PEEX) – Part II

Atmos. Chem. Phys., 21, 12463–12477, 2021

https://doi.org/10.5194/acp-21-12463-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 16

Research article

19 Aug 2021

Research article | 19 Aug 2021

Dispersion of particulate matter (PM_2.5) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations

Tobias Wolf et al.

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Month	HTML	PDF	XML	Total
Mar 2021	98	27	4	129
Apr 2021	51	14	1	66
May 2021	33	12	4	49
Jun 2021	49	16	4	69
Jul 2021	26	11	3	40
Aug 2021	311	54	4	369
Sep 2021	113	33	1	147
Oct 2021	95	108	1	204
Nov 2021	101	87	0	188
Dec 2021	84	26	0	110
Jan 2022	41	24	9	74
Feb 2022	26	18	8	52
Mar 2022	21	19	1	41
Apr 2022	17	20	3	40
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Jun 2022	12	5	0	17
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House heating by wood-burning stoves is cozy and needed in boreal cities, e.g., Bergen, Norway. But smoke (aerosols) from stoves may reduce urban air quality. It can be transported over long distance excessively polluting some neighborhoods. Who will suffer the most? Our modelling study looks at urban pollution in unprecedented meter-sized details tracing smoke pathways and turbulent dispersion in a typical city. We prototype effective policy scenarios to mitigate urban air quality problems.

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Dispersion of particulate matter (PM_2.5) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations

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Dispersion of particulate matter (PM_2.5) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations