Articles | Volume 20, issue 21
https://doi.org/10.5194/acp-20-13241-2020
© Author(s) 2020. 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-20-13241-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Nov 2020
Research article |
| 10 Nov 2020
| 10 Nov 2020
Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities
Ying Zhu
CORRESPONDING AUTHOR
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
TUM Department of Electrical and Computer Engineering, Technische Universität München, Munich, Germany
TUM Department of Electrical and Computer Engineering, Technische Universität München, Munich, Germany
TUM Department of Electrical and Computer Engineering, Technische Universität München, Munich, Germany
Gerrit Kuhlmann
Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf, Switzerland
Ka Lok Chan
Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Florian Dietrich
TUM Department of Electrical and Computer Engineering, Technische Universität München, Munich, Germany
Dominik Brunner
Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf, Switzerland
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
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16 citations as recorded by crossref.
- Mapping the spatial distribution of NO<sub>2</sub> with in situ and remote sensing instruments during the Munich NO<sub>2</sub> imaging campaign G. Kuhlmann et al. 10.5194/amt-15-1609-2022
- Gas-Phase Oxidation of NO2 to HNO3 by Phenol: Atmospheric Implications K. Mondal et al. 10.1021/acsearthspacechem.1c00167
- Key Themes, Trends, and Drivers of Mobile Ambient Air Quality Monitoring: A Systematic Review and Meta-Analysis A. Wang et al. 10.1021/acs.est.2c06310
- A spatial approach to assessing PM 2.5 exposure level of a brickmaking community in South Africa T. Aniyikaiye et al. 10.1080/10962247.2024.2332227
- Adapting Schools to Climate Change with Green, Blue, and Grey Measures in Barcelona: Study Protocol of a Mixed-Method Evaluation M. Sanz-Mas et al. 10.1007/s11524-023-00814-y
- Mobile monitoring reveals congestion penalty for vehicle emissions in London S. Wilde et al. 10.1016/j.aeaoa.2024.100241
- Modeling and Optimization of NO2 Stations in the Smart City of Barcelona R. Soriano-Gonzalez et al. 10.3390/app142210355
- Temporal and spatial variations in NO2 fluxes by tall tower eddy covariance measurements over a dense urban center in Sakai, Japan S. Okamura et al. 10.1016/j.atmosenv.2024.120870
- Calibration of Low-Cost NO2 Sensors through Environmental Factor Correction J. Miech et al. 10.3390/toxics9110281
- How effective are emission taxes in reducing air pollution? T. Erbertseder et al. 10.2139/ssrn.4353315
- Transferability of machine-learning-based global calibration models for NO2 and NO low-cost sensors A. Abu-Hani et al. 10.5194/amt-17-3917-2024
- Vehicle emission models alone are not sufficient to understand full impact of change in traffic signal timings A. Schroeder et al. 10.1016/j.aeaoa.2024.100293
- Plant Growth Traits and Allergenic Potential of Ambrosia Artemisiifolia Pollen Under Simulated Current and Future Temperatures and Different No2 Concentrations X. Cheng et al. 10.2139/ssrn.4129960
- Plant growth traits and allergenic potential of Ambrosia artemisiifolia pollen as modified by temperature and NO2 X. Cheng et al. 10.1016/j.envexpbot.2022.105193
- The air quality and well-being effects of low emission zones L. Sarmiento et al. 10.1016/j.jpubeco.2023.105014
- Quantification of ambient PM2.5 concentrations adjacent to informal brick kilns in the Vhembe District using low-cost sensors T. Aniyikaiye et al. 10.1038/s41598-023-49884-7
Latest update: 23 Nov 2024
Short summary
Average NO2 concentration of on-street mobile measurements (MMs) near the monitoring stations (MSs) was found to be considerably higher than the MSs data. The common measurement height (H) and distance (D) of the MSs result in 27 % lower average concentrations in total than the concentration of our MMs. Another 21 % difference remained after correcting the influence of the measuring H and D. This result makes our city-wide measurements for capturing the full range of concentrations necessary.
Average NO2 concentration of on-street mobile measurements (MMs) near the monitoring stations...
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