Articles | Volume 10, issue 10
https://doi.org/10.5194/amt-10-3783-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-3783-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Oct 2017
Research article |
| 17 Oct 2017
Design of an ozone and nitrogen dioxide sensor unit and its long-term operation within a sensor network in the city of Zurich
Michael Mueller
CORRESPONDING AUTHOR
Empa, Swiss Federal Laboratories for Materials Science and Technology, Duebendorf, Switzerland
Jonas Meyer
Decentlab GmbH, Duebendorf, Switzerland
Christoph Hueglin
Empa, Swiss Federal Laboratories for Materials Science and Technology, Duebendorf, Switzerland
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66 citations as recorded by crossref.
- Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring R. Kureshi et al. https://doi.org/10.3390/s22031093
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- A Variational Bayesian Blind Calibration Approach for Air Quality Sensor Deployments G. Li et al. https://doi.org/10.1109/JSEN.2022.3212009
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- Low-Cost Particulate Matter Mass Sensors: Review of the Status, Challenges, and Opportunities for Single-Instrument and Network Calibration J. Zhang et al. https://doi.org/10.1021/acssensors.4c03293
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- Use of networks of low cost air quality sensors to quantify air quality in urban settings O. Popoola et al. https://doi.org/10.1016/j.atmosenv.2018.09.030
- Characterizing the Aging of Alphasense NO2 Sensors in Long-Term Field Deployments J. Li et al. https://doi.org/10.1021/acssensors.1c00729
- Observational Inferences of NOx and CO Emission Factors for Vehicles and Homes in the San Francisco Bay Area Y. Zhu et al. https://doi.org/10.1021/acsestair.5c00004
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- A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning K. Mao et al. https://doi.org/10.1016/j.comcom.2021.08.003
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- Detecting and quantifying PM2.5 and NO2 contributions from train and road traffic in the vicinity of a major railway terminal in Dublin, Ireland S. Priyan et al. https://doi.org/10.1016/j.envpol.2024.124903
- Mid-IR spectrometer for mobile, real-time urban NO2 measurements P. Hundt et al. https://doi.org/10.5194/amt-11-2669-2018
- Evaluation of a low-cost optical particle counter (Alphasense OPC-N2) for ambient air monitoring L. Crilley et al. https://doi.org/10.5194/amt-11-709-2018
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- Data Quality in IoT-Based Air Quality Monitoring Systems: a Systematic Mapping Study J. Buelvas et al. https://doi.org/10.1007/s11270-023-06127-9
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- Efficient and Automated Generation of Orthogonal Atmospheres for the Characterization of Low-Cost Gas Sensor Systems in Air Quality Monitoring G. Tancev et al. https://doi.org/10.1109/TIM.2022.3198747
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- Integration and calibration of non-dispersive infrared (NDIR) CO2 low-cost sensors and their operation in a sensor network covering Switzerland M. Müller et al. https://doi.org/10.5194/amt-13-3815-2020
- Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration F. Concas et al. https://doi.org/10.1145/3446005
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- A Survey on Sensor Calibration in Air Pollution Monitoring Deployments B. Maag et al. https://doi.org/10.1109/JIOT.2018.2853660
- Assessment of air quality sensor system performance after relocation S. Zauli-Sajani et al. https://doi.org/10.1016/j.apr.2020.11.010
- In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network approaches D. Topalović et al. https://doi.org/10.1016/j.atmosenv.2019.06.028
- Development of multi-channel whole-air sampling equipment onboard an unmanned aerial vehicle for investigating volatile organic compounds' vertical distribution in the planetary boundary layer S. Yang et al. https://doi.org/10.5194/amt-16-501-2023
- Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning I. Apostolopoulos et al. https://doi.org/10.3390/s24134110
- First-Principles Algorithm for Air Quality Electrochemical Gas Sensors B. Ouyang https://doi.org/10.1021/acssensors.0c01129
- Solution to the Problem of Calibration of Low-Cost Air Quality Measurement Sensors in Networks G. Miskell et al. https://doi.org/10.1021/acssensors.8b00074
- From emissions to source allocation: Synergies and trade-offs between top-down and bottom-up information L. Sartini et al. https://doi.org/10.1016/j.aeaoa.2020.100088
Saved (final revised paper)
Latest update: 24 Jul 2026
Short summary
This study describes the design of a sensor unit featuring NO2 and O3 sensors for applications such as ambient air quality monitoring. The paper presents the sensor calibration, the testing procedure and the long-term deployment of the sensor units in the city of Zurich.
Main conclusions are the necessity of a proper mathematical description of the sensors as well as a concept to monitor sensor performance during operation, e.g. by linking low-cost sensors to traditional infrastructure.
This study describes the design of a sensor unit featuring NO2 and O3 sensors for applications...
