Abstract
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 language | Finnish |
|---|---|
| Title of host publication | Proceedings of ‘The Centre of Excellence in Atmospheric Science (CoE ATM) : 'From Molecular and Biological processes to The Global Climate’, Annual Meeting 2018 |
| Editors | Päivi Haapanala, Anna Lintunen, Joonas Enroth, Markku Kulmala |
| Number of pages | 4 |
| Place of Publication | Helsinki |
| Publisher | Aerosolitutkimusseura ry – Finnish Association for Aerosol Research FAAR |
| Publication date | 2018 |
| Pages | 228-231 |
| ISBN (Print) | 978-952-7276-11-2 |
| Publication status | Published - 2018 |
| MoE publication type | B3 Article in conference proceedings |
| Event | The 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 2018 → 29 Nov 2018 |
Publication series
| Name | Report Series in Aerosol Science |
|---|---|
| Publisher | Aerosolitutkimusseura ry |
| Number | 215 |
| ISSN (Print) | 0784-3496 |
Fields of Science
- 114 Physical sciences
- 1172 Environmental sciences
Cite this
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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 proceeding › Conference contribution › Scientific
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 -