Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3231-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-3231-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
13 Oct 2015
Development and technical paper |
| 13 Oct 2015
Analysis of the impact of inhomogeneous emissions in the Operational Street Pollution Model (OSPM)
T.-B. Ottosen
Department of Chemical Engineering, Texas A&M University at Qatar, Doha, Qatar
Department of Chemical Engineering, Biotechnology and Environmental Technology, University of Southern Denmark, Odense, Denmark
K. E. Kakosimos
CORRESPONDING AUTHOR
Department of Chemical Engineering, Texas A&M University at Qatar, Doha, Qatar
C. Johansson
Department of Environmental Science and Analytical Chemistry, Stockholm University, Stockholm, Sweden
Environment and Health Administration, Stockholm, Sweden
O. Hertel
Department of Environmental Science, Aarhus University, Roskilde, Denmark
J. Brandt
Department of Environmental Science, Aarhus University, Roskilde, Denmark
Department of Chemical Engineering, Biotechnology and Environmental Technology, University of Southern Denmark, Odense, Denmark
Department of Environmental Science, Aarhus University, Roskilde, Denmark
R. Berkowicz
Department of Environmental Science, Aarhus University, Roskilde, Denmark
T. Ellermann
Department of Environmental Science, Aarhus University, Roskilde, Denmark
S. S. Jensen
Department of Environmental Science, Aarhus University, Roskilde, Denmark
M. Ketzel
Department of Environmental Science, Aarhus University, Roskilde, Denmark
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Cited
15 citations as recorded by crossref.
- High resolution multi-scale air quality modelling for all streets in Denmark S. Jensen et al. 10.1016/j.trd.2017.02.019
- Development and performance evaluation of new AirGIS – A GIS based air pollution and human exposure modelling system J. Khan et al. 10.1016/j.atmosenv.2018.10.036
- Improving 3-day deterministic air pollution forecasts using machine learning algorithms Z. Zhang et al. 10.5194/acp-24-807-2024
- Long-term trends in nitrogen oxides concentrations and on-road vehicle emission factors in Copenhagen, London and Stockholm P. Krecl et al. 10.1016/j.envpol.2021.118105
- A parameter estimation and identifiability analysis methodology applied to a street canyon air pollution model T. Ottosen et al. 10.1016/j.envsoft.2016.06.022
- A review of AirQ Models and their applications for forecasting the air pollution health outcomes G. Oliveri Conti et al. 10.1007/s11356-016-8180-1
- Another one bites the dust – Two street canyons studied with magnetic biomonitoring and OSPM modelling J. Limo et al. 10.1016/j.atmosenv.2023.120312
- Evaluation of high-resolution GRAMM–GRAL (v15.12/v14.8) NO<sub><i>x</i></sub> simulations over the city of Zürich, Switzerland A. Berchet et al. 10.5194/gmd-10-3441-2017
- Assessing the Impact of Road Traffic Reorganization on Air Quality: A Street Canyon Case Study M. Bogacki et al. 10.3390/atmos11070695
- Modelling concentration heterogeneities in streets using the street-network model MUNICH T. Sarica et al. 10.5194/gmd-16-5281-2023
- Improvement assessment of the OSPM model performance by considering the secondary road dust emissions M. Rzeszutek et al. 10.1016/j.trd.2018.04.021
- The Eulerian urban dispersion model EPISODE – Part 2: Extensions to the source dispersion and photochemistry for EPISODE–CityChem v1.2 and its application to the city of Hamburg M. Karl et al. 10.5194/gmd-12-3357-2019
- Air Quality Improvement in Urban Street Canyons: An Assessment of the Effects of Selected Traffic Management Strategies Using OSPM Model R. Oleniacz et al. 10.3390/app13116431
- Measurement and Modeling of Ship-Related Ultrafine Particles and Secondary Organic Aerosols in a Mediterranean Port City M. Karl et al. 10.3390/toxics11090771
- Deep-MAPS: Machine-Learning-Based Mobile Air Pollution Sensing J. Song et al. 10.1109/JIOT.2020.3041047
15 citations as recorded by crossref.
- High resolution multi-scale air quality modelling for all streets in Denmark S. Jensen et al. 10.1016/j.trd.2017.02.019
- Development and performance evaluation of new AirGIS – A GIS based air pollution and human exposure modelling system J. Khan et al. 10.1016/j.atmosenv.2018.10.036
- Improving 3-day deterministic air pollution forecasts using machine learning algorithms Z. Zhang et al. 10.5194/acp-24-807-2024
- Long-term trends in nitrogen oxides concentrations and on-road vehicle emission factors in Copenhagen, London and Stockholm P. Krecl et al. 10.1016/j.envpol.2021.118105
- A parameter estimation and identifiability analysis methodology applied to a street canyon air pollution model T. Ottosen et al. 10.1016/j.envsoft.2016.06.022
- A review of AirQ Models and their applications for forecasting the air pollution health outcomes G. Oliveri Conti et al. 10.1007/s11356-016-8180-1
- Another one bites the dust – Two street canyons studied with magnetic biomonitoring and OSPM modelling J. Limo et al. 10.1016/j.atmosenv.2023.120312
- Evaluation of high-resolution GRAMM–GRAL (v15.12/v14.8) NO<sub><i>x</i></sub> simulations over the city of Zürich, Switzerland A. Berchet et al. 10.5194/gmd-10-3441-2017
- Assessing the Impact of Road Traffic Reorganization on Air Quality: A Street Canyon Case Study M. Bogacki et al. 10.3390/atmos11070695
- Modelling concentration heterogeneities in streets using the street-network model MUNICH T. Sarica et al. 10.5194/gmd-16-5281-2023
- Improvement assessment of the OSPM model performance by considering the secondary road dust emissions M. Rzeszutek et al. 10.1016/j.trd.2018.04.021
- The Eulerian urban dispersion model EPISODE – Part 2: Extensions to the source dispersion and photochemistry for EPISODE–CityChem v1.2 and its application to the city of Hamburg M. Karl et al. 10.5194/gmd-12-3357-2019
- Air Quality Improvement in Urban Street Canyons: An Assessment of the Effects of Selected Traffic Management Strategies Using OSPM Model R. Oleniacz et al. 10.3390/app13116431
- Measurement and Modeling of Ship-Related Ultrafine Particles and Secondary Organic Aerosols in a Mediterranean Port City M. Karl et al. 10.3390/toxics11090771
- Deep-MAPS: Machine-Learning-Based Mobile Air Pollution Sensing J. Song et al. 10.1109/JIOT.2020.3041047
Saved (final revised paper)
Latest update: 23 Nov 2024
Short summary
Semi-parameterised street canyon models are popular due to their speed and low input requirements. One often-used assumption is that emissions are homogeneously distributed in the entire length and width of the street. It is thus the aim of the present study to analyse the impact of this assumption by implementing an inhomogeneous emission geometry scheme and validating it. The results show an improved performance, however, confounded by challenges in estimating the emissions accurately.
Semi-parameterised street canyon models are popular due to their speed and low input...
