High-resolution measurements on the spatial variability of urban air quality for model evaluation purposes

M. Kurppa, L. Pirjola, A. Malinen, H. Kuuluvainen, T. Rönkkö, M. Irjala, A. Balling, J. V. Niemi, J. Järvi

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Abstract

Air pollution is one the greatest environmental threats to urban population (Gakidou et al. 2017), but still our capacities to study and understand the di↵erent processes controlling its distribution in complex urban areas are limited. Dispersion and transformation of both aerosol particles and gaseous pollutants are ruled by local wind conditions, which in turn are modified by the presence of buildings and vegetation and their thermal properties (Kurppa et al., 2018a). However, the commonly used air quality models are not capable of resolving details in pollutant concentrations fields due to an inadequate representation of the urban complexity.

For high-resolution urban air quality modelling, the large-eddy simulation (LES) is currently the most promising method. Very recently, the LES modelling system PALM (see Maronga et al. 2015 for version 4.0) has been extended with the aerosol module SALSA (Kurppa et al.) and an online chemistry module.

To evaluate the performance of a high-resolution urban air quality model, high-quality measurements on the spatial variability, both horizontal and vertical, of air pollutants with a temporally fine resolution are needed. Here, an example on an evaluation dataset in a busy neighbourhood in Helsinki, Finland, is presented.
Original languageFinnish
Title of host publicationProceedings of ‘The Centre of Excellence in Atmospheric Science (CoE ATM) : 'From Molecular and Biological processes to The Global Climate’, Annual Meeting 2018
EditorsPäivi Haapanala, Anna Lintunen, Joonas Enroth, Markku Kulmala
Number of pages4
Place of PublicationHelsinki
PublisherAerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR
Publication date2018
Pages228-231
ISBN (Print)978-952-7276-11-2
Publication statusPublished - 2018
MoE publication typeB3 Article in conference proceedings
EventThe Centre of Excellence in Atmospheric Science (CoE ATM) – From Molecular and Biological processes to The Global Climate’ Annual Meeting - Kuopio, Kuopio, Finland
Duration: 27 Nov 201829 Nov 2018

Publication series

NameReport Series in Aerosol Science
PublisherAerosolitutkimusseura ry
Number215
ISSN (Print)0784-3496

Fields of Science

  • 114 Physical sciences
  • 1172 Environmental sciences

Cite this

Kurppa, M., Pirjola, L., Malinen, A., Kuuluvainen, H., Rönkkö, T., Irjala, M., ... Järvi, J. (2018). High-resolution measurements on the spatial variability of urban air quality for model evaluation purposes. In P. Haapanala, A. Lintunen, J. Enroth, & M. Kulmala (Eds.), Proceedings of ‘The Centre of Excellence in Atmospheric Science (CoE ATM): 'From Molecular and Biological processes to The Global Climate’, Annual Meeting 2018 (pp. 228-231). (Report Series in Aerosol Science; No. 215). Helsinki: Aerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR.
Kurppa, M. ; Pirjola, L. ; Malinen, A. ; Kuuluvainen, H. ; Rönkkö, T. ; Irjala, M. ; Balling, A. ; Niemi, J. V. ; Järvi, J. / High-resolution measurements on the spatial variability of urban air quality for model evaluation purposes. Proceedings of ‘The Centre of Excellence in Atmospheric Science (CoE ATM): 'From Molecular and Biological processes to The Global Climate’, Annual Meeting 2018. editor / Päivi Haapanala ; Anna Lintunen ; Joonas Enroth ; Markku Kulmala. Helsinki : Aerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR, 2018. pp. 228-231 (Report Series in Aerosol Science; 215).
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abstract = "Air pollution is one the greatest environmental threats to urban population (Gakidou et al. 2017), but still our capacities to study and understand the di↵erent processes controlling its distribution in complex urban areas are limited. Dispersion and transformation of both aerosol particles and gaseous pollutants are ruled by local wind conditions, which in turn are modified by the presence of buildings and vegetation and their thermal properties (Kurppa et al., 2018a). However, the commonly used air quality models are not capable of resolving details in pollutant concentrations fields due to an inadequate representation of the urban complexity.For high-resolution urban air quality modelling, the large-eddy simulation (LES) is currently the most promising method. Very recently, the LES modelling system PALM (see Maronga et al. 2015 for version 4.0) has been extended with the aerosol module SALSA (Kurppa et al.) and an online chemistry module. To evaluate the performance of a high-resolution urban air quality model, high-quality measurements on the spatial variability, both horizontal and vertical, of air pollutants with a temporally fine resolution are needed. Here, an example on an evaluation dataset in a busy neighbourhood in Helsinki, Finland, is presented.",
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author = "M. Kurppa and L. Pirjola and A. Malinen and H. Kuuluvainen and T. R{\"o}nkk{\"o} and M. Irjala and A. Balling and Niemi, {J. V.} and J. J{\"a}rvi",
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publisher = "Aerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR",
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Kurppa, M, Pirjola, L, Malinen, A, Kuuluvainen, H, Rönkkö, T, Irjala, M, Balling, A, Niemi, JV & Järvi, J 2018, High-resolution measurements on the spatial variability of urban air quality for model evaluation purposes. in P Haapanala, A Lintunen, J Enroth & M Kulmala (eds), Proceedings of ‘The Centre of Excellence in Atmospheric Science (CoE ATM): 'From Molecular and Biological processes to The Global Climate’, Annual Meeting 2018. Report Series in Aerosol Science, no. 215, Aerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR, Helsinki, pp. 228-231, The Centre of Excellence in Atmospheric Science (CoE ATM) – From Molecular and Biological processes to The Global Climate’ Annual Meeting , Kuopio, Finland, 27/11/2018.

High-resolution measurements on the spatial variability of urban air quality for model evaluation purposes. / Kurppa, M.; Pirjola, L.; Malinen, A.; Kuuluvainen, H.; Rönkkö, T.; Irjala, M.; Balling, A.; Niemi, J. V.; Järvi, J.

Proceedings of ‘The Centre of Excellence in Atmospheric Science (CoE ATM): 'From Molecular and Biological processes to The Global Climate’, Annual Meeting 2018. ed. / Päivi Haapanala; Anna Lintunen; Joonas Enroth; Markku Kulmala. Helsinki : Aerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR, 2018. p. 228-231 (Report Series in Aerosol Science; No. 215).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

TY - GEN

T1 - High-resolution measurements on the spatial variability of urban air quality for model evaluation purposes

AU - Kurppa, M.

AU - Pirjola, L.

AU - Malinen, A.

AU - Kuuluvainen, H.

AU - Rönkkö, T.

AU - Irjala, M.

AU - Balling, A.

AU - Niemi, J. V.

AU - Järvi, J.

PY - 2018

Y1 - 2018

N2 - Air pollution is one the greatest environmental threats to urban population (Gakidou et al. 2017), but still our capacities to study and understand the di↵erent processes controlling its distribution in complex urban areas are limited. Dispersion and transformation of both aerosol particles and gaseous pollutants are ruled by local wind conditions, which in turn are modified by the presence of buildings and vegetation and their thermal properties (Kurppa et al., 2018a). However, the commonly used air quality models are not capable of resolving details in pollutant concentrations fields due to an inadequate representation of the urban complexity.For high-resolution urban air quality modelling, the large-eddy simulation (LES) is currently the most promising method. Very recently, the LES modelling system PALM (see Maronga et al. 2015 for version 4.0) has been extended with the aerosol module SALSA (Kurppa et al.) and an online chemistry module. To evaluate the performance of a high-resolution urban air quality model, high-quality measurements on the spatial variability, both horizontal and vertical, of air pollutants with a temporally fine resolution are needed. Here, an example on an evaluation dataset in a busy neighbourhood in Helsinki, Finland, is presented.

AB - Air pollution is one the greatest environmental threats to urban population (Gakidou et al. 2017), but still our capacities to study and understand the di↵erent processes controlling its distribution in complex urban areas are limited. Dispersion and transformation of both aerosol particles and gaseous pollutants are ruled by local wind conditions, which in turn are modified by the presence of buildings and vegetation and their thermal properties (Kurppa et al., 2018a). However, the commonly used air quality models are not capable of resolving details in pollutant concentrations fields due to an inadequate representation of the urban complexity.For high-resolution urban air quality modelling, the large-eddy simulation (LES) is currently the most promising method. Very recently, the LES modelling system PALM (see Maronga et al. 2015 for version 4.0) has been extended with the aerosol module SALSA (Kurppa et al.) and an online chemistry module. To evaluate the performance of a high-resolution urban air quality model, high-quality measurements on the spatial variability, both horizontal and vertical, of air pollutants with a temporally fine resolution are needed. Here, an example on an evaluation dataset in a busy neighbourhood in Helsinki, Finland, is presented.

KW - 114 Fysiikka

KW - 1172 Ympäristötiede

M3 - Konferenssiartikkeli

SN - 978-952-7276-11-2

T3 - Report Series in Aerosol Science

SP - 228

EP - 231

BT - Proceedings of ‘The Centre of Excellence in Atmospheric Science (CoE ATM)

A2 - Haapanala, Päivi

A2 - Lintunen, Anna

A2 - Enroth, Joonas

A2 - Kulmala, Markku

PB - Aerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR

CY - Helsinki

ER -

Kurppa M, Pirjola L, Malinen A, Kuuluvainen H, Rönkkö T, Irjala M et al. High-resolution measurements on the spatial variability of urban air quality for model evaluation purposes. In Haapanala P, Lintunen A, Enroth J, Kulmala M, editors, Proceedings of ‘The Centre of Excellence in Atmospheric Science (CoE ATM): 'From Molecular and Biological processes to The Global Climate’, Annual Meeting 2018. Helsinki: Aerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR. 2018. p. 228-231. (Report Series in Aerosol Science; 215).