Articles | Volume 14, issue 7
https://doi.org/10.5194/amt-14-5139-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-5139-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jul 2021
Research article |
| 28 Jul 2021
| 28 Jul 2021
Analysis of mobile monitoring data from the microAeth® MA200 for measuring changes in black carbon on the roadside in Augsburg
Xiansheng Liu
Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business
University, 100048 Beijing, China
Joint Mass Spectrometry Centre, Comprehensive
Molecular Analytics, Helmholtz Zentrum München, German Research Centre
for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg,
Germany
Joint Mass Spectrometry Centre, Analytical Chemistry,
University of Rostock, 18059 Rostock, Germany
Hadiatullah Hadiatullah
School of Pharmaceutical Science and Technology, Tianjin University, 300072 Tianjin, China
Xun Zhang
CORRESPONDING AUTHOR
Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business
University, 100048 Beijing, China
Key Laboratory of Resources Utilization and Environmental Remediation,
Institute of Geographical Sciences and Natural Resources Research, Chinese
Academy of Sciences, 100101 Beijing, China
L. Drew Hill
AethLabs, San Francisco, CA, USA
Andrew H. A. White
AethLabs, San Francisco, CA, USA
Yale School of Medicine, New Haven, CT, USA
Jürgen Schnelle-Kreis
CORRESPONDING AUTHOR
Joint Mass Spectrometry Centre, Comprehensive
Molecular Analytics, Helmholtz Zentrum München, German Research Centre
for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg,
Germany
Jan Bendl
Joint Mass Spectrometry Centre, Comprehensive
Molecular Analytics, Helmholtz Zentrum München, German Research Centre
for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg,
Germany
Institute for Environment Studies, Faculty of Science, Charles
University, Prague, Czech Republic
Gert Jakobi
Joint Mass Spectrometry Centre, Comprehensive
Molecular Analytics, Helmholtz Zentrum München, German Research Centre
for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg,
Germany
Brigitte Schloter-Hai
Joint Mass Spectrometry Centre, Comprehensive
Molecular Analytics, Helmholtz Zentrum München, German Research Centre
for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg,
Germany
Ralf Zimmermann
Joint Mass Spectrometry Centre, Comprehensive
Molecular Analytics, Helmholtz Zentrum München, German Research Centre
for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg,
Germany
Joint Mass Spectrometry Centre, Analytical Chemistry,
University of Rostock, 18059 Rostock, Germany
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Cited
15 citations as recorded by crossref.
- Combined land-use and street view image model for estimating black carbon concentrations in urban areas X. Liu et al. 10.1016/j.atmosenv.2021.118719
- Differentiating Semi-Volatile and Solid Particle Events Using Low-Cost Lung-Deposited Surface Area and Black Carbon Sensors M. Haugen et al. 10.3390/atmos13050747
- Review of black carbon emission factors from different anthropogenic sources T. Rönkkö et al. 10.1088/1748-9326/acbb1b
- Combining analytical techniques to assess the translocation of diesel particles across an alveolar tissue barrier in vitro G. Gunasingam et al. 10.1186/s12989-024-00585-7
- Investigation of COVID-19-related lockdowns on the air pollution changes in augsburg in 2020, Germany X. Cao et al. 10.1016/j.apr.2022.101536
- Performance evaluation of portable dual-spot micro-aethalometers for source identification of black carbon aerosols: application to wildfire smoke and traffic emissions in the Pacific Northwest M. Chakraborty et al. 10.5194/amt-16-2333-2023
- Personal exposure to various size fractions of ambient particulate matter during the heating and non-heating periods using mobile monitoring approach: A case study in Augsburg, Germany X. Liu et al. 10.1016/j.apr.2022.101483
- Black carbon instrument responses to laboratory generated particles L. Salo et al. 10.1016/j.apr.2024.102088
- A Potential Inhalation Risk to Daily Commuter: Mobile Monitoring of Black Carbon during Journey in Traffic Emissions D. Mahato et al. 10.1007/s11270-024-07272-5
- Adapting Public Annotated Data Sets and Low-Quality Dash Cameras for Spatiotemporal Estimation of Traffic-Related Air Pollution: A Transfer-Learning Approach Y. Fei et al. 10.1061/JCCEE5.CPENG-5667
- Relative contributions of ambient air and internal sources to multiple air pollutants in public transportation modes Z. Li et al. 10.1016/j.envpol.2023.122642
- Environmental impact assessment of the coal yard and ambient pollution M. Kucbel et al. 10.1007/s11356-024-32490-z
- Aerosol absorption using in situ filter-based photometers and ground-based sun photometry in the Po Valley urban atmosphere A. Bigi et al. 10.5194/acp-23-14841-2023
- High-Precision Microscale Particulate Matter Prediction in Diverse Environments Using a Long Short-Term Memory Neural Network and Street View Imagery X. Liu et al. 10.1021/acs.est.3c06511
- Spatial Mapping of Air Pollution Hotspots around Commercial Meat-Cooking Restaurants Using Bicycle-Based Mobile Monitoring G. Yong et al. 10.3390/atmos15080991
15 citations as recorded by crossref.
- Combined land-use and street view image model for estimating black carbon concentrations in urban areas X. Liu et al. 10.1016/j.atmosenv.2021.118719
- Differentiating Semi-Volatile and Solid Particle Events Using Low-Cost Lung-Deposited Surface Area and Black Carbon Sensors M. Haugen et al. 10.3390/atmos13050747
- Review of black carbon emission factors from different anthropogenic sources T. Rönkkö et al. 10.1088/1748-9326/acbb1b
- Combining analytical techniques to assess the translocation of diesel particles across an alveolar tissue barrier in vitro G. Gunasingam et al. 10.1186/s12989-024-00585-7
- Investigation of COVID-19-related lockdowns on the air pollution changes in augsburg in 2020, Germany X. Cao et al. 10.1016/j.apr.2022.101536
- Performance evaluation of portable dual-spot micro-aethalometers for source identification of black carbon aerosols: application to wildfire smoke and traffic emissions in the Pacific Northwest M. Chakraborty et al. 10.5194/amt-16-2333-2023
- Personal exposure to various size fractions of ambient particulate matter during the heating and non-heating periods using mobile monitoring approach: A case study in Augsburg, Germany X. Liu et al. 10.1016/j.apr.2022.101483
- Black carbon instrument responses to laboratory generated particles L. Salo et al. 10.1016/j.apr.2024.102088
- A Potential Inhalation Risk to Daily Commuter: Mobile Monitoring of Black Carbon during Journey in Traffic Emissions D. Mahato et al. 10.1007/s11270-024-07272-5
- Adapting Public Annotated Data Sets and Low-Quality Dash Cameras for Spatiotemporal Estimation of Traffic-Related Air Pollution: A Transfer-Learning Approach Y. Fei et al. 10.1061/JCCEE5.CPENG-5667
- Relative contributions of ambient air and internal sources to multiple air pollutants in public transportation modes Z. Li et al. 10.1016/j.envpol.2023.122642
- Environmental impact assessment of the coal yard and ambient pollution M. Kucbel et al. 10.1007/s11356-024-32490-z
- Aerosol absorption using in situ filter-based photometers and ground-based sun photometry in the Po Valley urban atmosphere A. Bigi et al. 10.5194/acp-23-14841-2023
- High-Precision Microscale Particulate Matter Prediction in Diverse Environments Using a Long Short-Term Memory Neural Network and Street View Imagery X. Liu et al. 10.1021/acs.est.3c06511
- Spatial Mapping of Air Pollution Hotspots around Commercial Meat-Cooking Restaurants Using Bicycle-Based Mobile Monitoring G. Yong et al. 10.3390/atmos15080991
Latest update: 20 Nov 2024
Short summary
A monitoring campaign was conducted in Augsburg to determine a suitable noise reduction algorithm for the MA200 Aethalometer. Results showed that centred moving average (CMA) post-processing effectively removed spurious negative concentrations without major bias and reliably highlighted effects from local sources, effectively increasing spatio-temporal resolution in mobile measurements. Evaluation of each method on peak sample reduction and background correction further supports the reliability.
A monitoring campaign was conducted in Augsburg to determine a suitable noise reduction...
