Articles | Volume 18, issue 11
https://doi.org/10.5194/acp-18-8203-2018
© Author(s) 2018. 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-18-8203-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jun 2018
Research article |
| 13 Jun 2018
| 13 Jun 2018
Top–down quantification of NOx emissions from traffic in an urban area using a high-resolution regional atmospheric chemistry model
Friderike Kuik
CORRESPONDING AUTHOR
Institute for Advanced Sustainability Studies, Potsdam, Germany
Freie Universität, Fachbereich Geowissenschaften, Institut für Meteorologie,
Berlin, Germany
Andreas Kerschbaumer
Senatsverwaltung für Umwelt, Verkehr und Klimaschutz Berlin, Berlin,
Germany
Axel Lauer
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der
Atmosphäre, Oberpfaffenhofen, Germany
Aurelia Lupascu
Institute for Advanced Sustainability Studies, Potsdam, Germany
Erika von Schneidemesser
Institute for Advanced Sustainability Studies, Potsdam, Germany
Tim M. Butler
Institute for Advanced Sustainability Studies, Potsdam, Germany
Freie Universität, Fachbereich Geowissenschaften, Institut für Meteorologie,
Berlin, Germany
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Cited
32 citations as recorded by crossref.
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- Nitrogen Dioxide Source Attribution for Urban and Regional Background Locations Across Germany J. Pültz et al. 10.3390/atmos16030312
- Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
- Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
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- Inferring the diurnal variability of OH radical concentrations over the Amazon from BVOC measurements A. Ringsdorf et al. 10.1038/s41598-023-41748-4
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- Aerosol sources characterization and apportionment from low-cost particle sensors in an urban environment V. Kumar et al. 10.1016/j.aeaoa.2024.100271
- Quantification of temperature dependence of NO emissions from road traffic in Norway using air quality modelling and monitoring data E. Wærsted et al. 10.1016/j.aeaoa.2022.100160
- Source attribution of nitrogen oxides across Germany: Comparing the labelling approach and brute force technique with LOTOS-EUROS M. Thürkow et al. 10.1016/j.atmosenv.2022.119412
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32 citations as recorded by crossref.
- Integrating Modes of Transport in a Dynamic Modelling Approach to Evaluate Population Exposure to Ambient NO2 and PM2.5 Pollution in Urban Areas M. Ramacher & M. Karl 10.3390/ijerph17062099
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. 10.5194/acp-20-7843-2020
- NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations L. Kuhn et al. 10.5194/amt-17-6485-2024
- Nitrogen Dioxide Source Attribution for Urban and Regional Background Locations Across Germany J. Pültz et al. 10.3390/atmos16030312
- Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
- Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
- Attribution of surface ozone to NOx and volatile organic compound sources during two different high ozone events A. Lupaşcu et al. 10.5194/acp-22-11675-2022
- Inferring the diurnal variability of OH radical concentrations over the Amazon from BVOC measurements A. Ringsdorf et al. 10.1038/s41598-023-41748-4
- The Long-Term Mortality Effects Associated with Exposure to Particles and NOx in the Malmö Diet and Cancer Cohort H. Olstrup et al. 10.3390/toxics11110913
- Air pollution in an urban street canyon: Novel insights from highly resolved traffic information and meteorology L. Ehrnsperger & O. Klemm 10.1016/j.aeaoa.2022.100151
- Aerosol sources characterization and apportionment from low-cost particle sensors in an urban environment V. Kumar et al. 10.1016/j.aeaoa.2024.100271
- Quantification of temperature dependence of NO emissions from road traffic in Norway using air quality modelling and monitoring data E. Wærsted et al. 10.1016/j.aeaoa.2022.100160
- Source attribution of nitrogen oxides across Germany: Comparing the labelling approach and brute force technique with LOTOS-EUROS M. Thürkow et al. 10.1016/j.atmosenv.2022.119412
- Determination of Nitric Oxide and Its Metabolites in Biological Tissues Using Ozone-Based Chemiluminescence Detection: A State-of-the-Art Review J. Li et al. 10.3390/antiox13020179
- Modeling the impact of a potential shale gas industry in Germany and the United Kingdom on ozone with WRF-Chem L. Weger et al. 10.1525/elementa.387
- Source attribution of particulate matter in Berlin J. Pültz et al. 10.1016/j.atmosenv.2022.119416
- Assessing the effects of significant activity changes on urban-scale air quality across three European cities M. Ramacher et al. 10.1016/j.aeaoa.2024.100264
- On the influence of vertical mixing, boundary layer schemes, and temporal emission profiles on tropospheric NO2 in WRF-Chem – comparisons to in situ, satellite, and MAX-DOAS observations L. Kuhn et al. 10.5194/acp-24-185-2024
- Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach G. Veratti et al. 10.1016/j.atmosenv.2021.118566
- Coupling traffic originated urban air pollution estimation with an atmospheric chemistry model A. Kovács et al. 10.1016/j.uclim.2021.100868
- Assessing the levels of regulated metals in an urban area: A modelling and experimental approach D. Lopes et al. 10.1016/j.atmosenv.2022.119366
- Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al. 10.5194/amt-14-5241-2021
- Yeti 1.0: a generalized framework for constructing bottom-up emission inventories from traffic sources at road-link resolutions E. Chan et al. 10.5194/gmd-16-1427-2023
- Contributions of traffic and shipping emissions to city-scale NOx and PM2.5 exposure in Hamburg M. Ramacher et al. 10.1016/j.atmosenv.2020.117674
- Highly spatially resolved emission inventory of selected air pollutants in Kuala Lumpur's urban environment A. Azhari et al. 10.1016/j.apr.2020.10.004
- The UrbEm Hybrid Method to Derive High-Resolution Emissions for City-Scale Air Quality Modeling M. Ramacher et al. 10.3390/atmos12111404
- City Scale Modeling of Ultrafine Particles in Urban Areas with Special Focus on Passenger Ferryboat Emission Impact M. Lauenburg et al. 10.3390/toxics10010003
- Learning from the COVID-19 lockdown in berlin: Observations and modelling to support understanding policies to reduce NO2. E. von Schneidemesser et al. 10.1016/j.aeaoa.2021.100122
- NOx emissions by real-world fresh and old asphalt mixtures: Impact of temperature, relative humidity, and UV-irradiation J. Lasne et al. 10.1016/j.uclim.2023.101457
- Turbulence-permitting air pollution simulation for the Stuttgart metropolitan area T. Schwitalla et al. 10.5194/acp-21-4575-2021
- Data-driven analysis of transport and weather impact on urban air quality B. Csonka 10.14513/actatechjaur.00698
- urbanChemFoam 1.0: large-eddy simulation of non-stationary chemical transport of traffic emissions in an idealized street canyon E. Chan & T. Butler 10.5194/gmd-14-4555-2021
Latest update: 02 Apr 2025
Short summary
Modelled NOx concentrations are often underestimated compared to observations, and measurement studies show that reported NOx emissions in urban areas are often too low when the contribution from traffic is largest. This modelling study quantifies the underestimation of traffic NOx emissions in the Berlin–Brandenburg and finds that they are underestimated by ca. 50 % in the core urban area. More research is needed in order to more accurately understand real-world NOx emissions from traffic.
Modelled NOx concentrations are often underestimated compared to observations, and measurement...
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