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.
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
Viewed
Total article views: 5,759 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2017)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,504 | 2,109 | 146 | 5,759 | 655 | 141 | 171 |
- HTML: 3,504
- PDF: 2,109
- XML: 146
- Total: 5,759
- Supplement: 655
- BibTeX: 141
- EndNote: 171
Total article views: 4,167 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Oct 2017)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
2,552 | 1,506 | 109 | 4,167 | 358 | 114 | 133 |
- HTML: 2,552
- PDF: 1,506
- XML: 109
- Total: 4,167
- Supplement: 358
- BibTeX: 114
- EndNote: 133
Total article views: 1,592 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Mar 2017)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
952 | 603 | 37 | 1,592 | 297 | 27 | 38 |
- HTML: 952
- PDF: 603
- XML: 37
- Total: 1,592
- Supplement: 297
- BibTeX: 27
- EndNote: 38
Viewed (geographical distribution)
Total article views: 5,759 (including HTML, PDF, and XML)
Thereof 5,641 with geography defined
and 118 with unknown origin.
Total article views: 4,167 (including HTML, PDF, and XML)
Thereof 4,082 with geography defined
and 85 with unknown origin.
Total article views: 1,592 (including HTML, PDF, and XML)
Thereof 1,559 with geography defined
and 33 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
57 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. 10.3390/s22031093
- Effect of Relative Humidity and Air Temperature on the Results Obtained from Low-Cost Gas Sensors for Ambient Air Quality Measurements A. Samad et al. 10.3390/s20185175
- A Comparative Study of Calibration Methods for Low-Cost Ozone Sensors in IoT Platforms P. Ferrer-Cid et al. 10.1109/JIOT.2019.2929594
- Social Impact Assessment of HealthyAIR Tool for Real-Time Detection of Pollution Risk A. Moreno Cano et al. 10.3390/su12239856
- Inferring Aerosol Sources from Low-Cost Air Quality Sensor Measurements: A Case Study in Delhi, India D. Hagan et al. 10.1021/acs.estlett.9b00393
- Investigating the Sources of Urban Air Pollution Using Low-Cost Air Quality Sensors at an Urban Atlanta Site L. Yang et al. 10.1021/acs.est.1c07005
- ICT Y. Cheng et al. 10.1145/3314393
- Development of Air Quality Boxes Based on Low-Cost Sensor Technology for Ambient Air Quality Monitoring P. Gäbel et al. 10.3390/s22103830
- Stochastic Online Calibration of Low-Cost Gas Sensor Networks With Mobile References G. Tancev & F. Toro 10.1109/ACCESS.2022.3145945
- Modular Air Quality Calibration and Forecasting Method for Low-Cost Sensor Nodes Y. Hashmy et al. 10.1109/JSEN.2023.3233982
- Field calibration of electrochemical NO<sub>2</sub> sensors in a citizen science context B. Mijling et al. 10.5194/amt-11-1297-2018
- A Variational Bayesian Blind Calibration Approach for Air Quality Sensor Deployments G. Li et al. 10.1109/JSEN.2022.3212009
- Modelling calibration uncertainty in networks of environmental sensors M. Smith et al. 10.1093/jrsssc/qlad075
- Calibration and assessment of electrochemical low-cost sensors in remote alpine harsh environments F. Dallo et al. 10.5194/amt-14-6005-2021
- Semiquantitative Classification of Two Oxidizing Gases with Graphene-Based Gas Sensors M. Lind et al. 10.3390/chemosensors10020068
- Use of networks of low cost air quality sensors to quantify air quality in urban settings O. Popoola et al. 10.1016/j.atmosenv.2018.09.030
- Characterizing the Aging of Alphasense NO2 Sensors in Long-Term Field Deployments J. Li et al. 10.1021/acssensors.1c00729
- The BErkeley Atmospheric CO<sub>2</sub> Observation Network: field calibration and evaluation of low-cost air quality sensors J. Kim et al. 10.5194/amt-11-1937-2018
- Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O<sub>3</sub> and NO<sub>2</sub> concentrations in diverse environments R. Sahu et al. 10.5194/amt-14-37-2021
- Review of the Performance of Low-Cost Sensors for Air Quality Monitoring F. Karagulian et al. 10.3390/atmos10090506
- A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning K. Mao et al. 10.1016/j.comcom.2021.08.003
- Clustering-Based Segmented Regression for Particulate Matter Sensor Calibration S. Liu et al. 10.3390/app122412934
- Air Pollution Monitoring via Wireless Sensor Networks: The Investigation and Correction of the Aging Behavior of Electrochemical Gaseous Pollutant Sensors I. Christakis et al. 10.3390/electronics12081842
- 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. 10.1016/j.envpol.2024.124903
- Mid-IR spectrometer for mobile, real-time urban NO<sub>2</sub> measurements P. Hundt et al. 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. 10.5194/amt-11-709-2018
- Assessment of Indoor Household Air Quality Using SentinAir's Cost-effective Sensor F. Abulude et al. 10.53623/tasp.v3i1.131
- Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
- Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art M. Narayana et al. 10.3390/s22010394
- Data Quality in IoT-Based Air Quality Monitoring Systems: a Systematic Mapping Study J. Buelvas et al. 10.1007/s11270-023-06127-9
- Performance of NO, NO<sub>2</sub> low cost sensors and three calibration approaches within a real world application A. Bigi et al. 10.5194/amt-11-3717-2018
- Efficient and Automated Generation of Orthogonal Atmospheres for the Characterization of Low-Cost Gas Sensor Systems in Air Quality Monitoring G. Tancev et al. 10.1109/TIM.2022.3198747
- Spatiotemporal distribution of pollutants and impact of local meteorology on source influence on pollutants’ level in a traffic air-shed in Lagos megacity, Nigeria A. Olufemi et al. 10.1007/s10661-023-11757-x
- Self-calibration methods for uncontrolled environments in sensor networks: A reference survey J. Barcelo-Ordinas et al. 10.1016/j.adhoc.2019.01.008
- Development of low-cost air quality stations for next-generation monitoring networks: calibration and validation of NO2 and O3 sensors A. Cavaliere et al. 10.5194/amt-16-4723-2023
- Academically Produced Air Pollution Sensors for Personal Exposure Assessment: The Canarin Project B. Dessimond et al. 10.3390/s21051876
- In Situ Calibration Algorithms for Environmental Sensor Networks: A Review F. Delaine et al. 10.1109/JSEN.2019.2910317
- Long-term behavior and stability of calibration models for NO and NO<sub>2</sub> low-cost sensors H. Kim et al. 10.5194/amt-15-2979-2022
- Integration and calibration of non-dispersive infrared (NDIR) CO<sub>2</sub> low-cost sensors and their operation in a sensor network covering Switzerland M. Müller et al. 10.5194/amt-13-3815-2020
- Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration F. Concas et al. 10.1145/3446005
- Calibration and assessment of electrochemical air quality sensors by co-location with regulatory-grade instruments D. Hagan et al. 10.5194/amt-11-315-2018
- 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
- Air pollution measurement errors: is your data fit for purpose? S. Diez et al. 10.5194/amt-15-4091-2022
- Low‐cost air quality monitoring networks for long‐term field campaigns: A review F. Carotenuto et al. 10.1002/met.2161
- Variational Bayesian calibration of low-cost gas sensor systems in air quality monitoring G. Tancev & F. Toro 10.1016/j.measen.2021.100365
- Electrochemical sensors on board a Zeppelin NT: in-flight evaluation of low-cost trace gas measurements T. Schuldt et al. 10.5194/amt-16-373-2023
- The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias G. Tancev & C. Pascale 10.3390/s20216198
- Recent Developments in Ozone Sensor Technology for Medical Applications L. Petani et al. 10.3390/mi11060624
- A Survey on Sensor Calibration in Air Pollution Monitoring Deployments B. Maag et al. 10.1109/JIOT.2018.2853660
- Assessment of air quality sensor system performance after relocation S. Zauli-Sajani et al. 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. 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. 10.5194/amt-16-501-2023
- Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning I. Apostolopoulos et al. 10.3390/s24134110
- First-Principles Algorithm for Air Quality Electrochemical Gas Sensors B. Ouyang 10.1021/acssensors.0c01129
- Solution to the Problem of Calibration of Low-Cost Air Quality Measurement Sensors in Networks G. Miskell et al. 10.1021/acssensors.8b00074
- From emissions to source allocation: Synergies and trade-offs between top-down and bottom-up information L. Sartini et al. 10.1016/j.aeaoa.2020.100088
- Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements E. Cross et al. 10.5194/amt-10-3575-2017
56 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. 10.3390/s22031093
- Effect of Relative Humidity and Air Temperature on the Results Obtained from Low-Cost Gas Sensors for Ambient Air Quality Measurements A. Samad et al. 10.3390/s20185175
- A Comparative Study of Calibration Methods for Low-Cost Ozone Sensors in IoT Platforms P. Ferrer-Cid et al. 10.1109/JIOT.2019.2929594
- Social Impact Assessment of HealthyAIR Tool for Real-Time Detection of Pollution Risk A. Moreno Cano et al. 10.3390/su12239856
- Inferring Aerosol Sources from Low-Cost Air Quality Sensor Measurements: A Case Study in Delhi, India D. Hagan et al. 10.1021/acs.estlett.9b00393
- Investigating the Sources of Urban Air Pollution Using Low-Cost Air Quality Sensors at an Urban Atlanta Site L. Yang et al. 10.1021/acs.est.1c07005
- ICT Y. Cheng et al. 10.1145/3314393
- Development of Air Quality Boxes Based on Low-Cost Sensor Technology for Ambient Air Quality Monitoring P. Gäbel et al. 10.3390/s22103830
- Stochastic Online Calibration of Low-Cost Gas Sensor Networks With Mobile References G. Tancev & F. Toro 10.1109/ACCESS.2022.3145945
- Modular Air Quality Calibration and Forecasting Method for Low-Cost Sensor Nodes Y. Hashmy et al. 10.1109/JSEN.2023.3233982
- Field calibration of electrochemical NO<sub>2</sub> sensors in a citizen science context B. Mijling et al. 10.5194/amt-11-1297-2018
- A Variational Bayesian Blind Calibration Approach for Air Quality Sensor Deployments G. Li et al. 10.1109/JSEN.2022.3212009
- Modelling calibration uncertainty in networks of environmental sensors M. Smith et al. 10.1093/jrsssc/qlad075
- Calibration and assessment of electrochemical low-cost sensors in remote alpine harsh environments F. Dallo et al. 10.5194/amt-14-6005-2021
- Semiquantitative Classification of Two Oxidizing Gases with Graphene-Based Gas Sensors M. Lind et al. 10.3390/chemosensors10020068
- Use of networks of low cost air quality sensors to quantify air quality in urban settings O. Popoola et al. 10.1016/j.atmosenv.2018.09.030
- Characterizing the Aging of Alphasense NO2 Sensors in Long-Term Field Deployments J. Li et al. 10.1021/acssensors.1c00729
- The BErkeley Atmospheric CO<sub>2</sub> Observation Network: field calibration and evaluation of low-cost air quality sensors J. Kim et al. 10.5194/amt-11-1937-2018
- Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O<sub>3</sub> and NO<sub>2</sub> concentrations in diverse environments R. Sahu et al. 10.5194/amt-14-37-2021
- Review of the Performance of Low-Cost Sensors for Air Quality Monitoring F. Karagulian et al. 10.3390/atmos10090506
- A fast calibration algorithm for Non-Dispersive Infrared single channel carbon dioxide sensor based on deep learning K. Mao et al. 10.1016/j.comcom.2021.08.003
- Clustering-Based Segmented Regression for Particulate Matter Sensor Calibration S. Liu et al. 10.3390/app122412934
- Air Pollution Monitoring via Wireless Sensor Networks: The Investigation and Correction of the Aging Behavior of Electrochemical Gaseous Pollutant Sensors I. Christakis et al. 10.3390/electronics12081842
- 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. 10.1016/j.envpol.2024.124903
- Mid-IR spectrometer for mobile, real-time urban NO<sub>2</sub> measurements P. Hundt et al. 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. 10.5194/amt-11-709-2018
- Assessment of Indoor Household Air Quality Using SentinAir's Cost-effective Sensor F. Abulude et al. 10.53623/tasp.v3i1.131
- Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
- Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art M. Narayana et al. 10.3390/s22010394
- Data Quality in IoT-Based Air Quality Monitoring Systems: a Systematic Mapping Study J. Buelvas et al. 10.1007/s11270-023-06127-9
- Performance of NO, NO<sub>2</sub> low cost sensors and three calibration approaches within a real world application A. Bigi et al. 10.5194/amt-11-3717-2018
- Efficient and Automated Generation of Orthogonal Atmospheres for the Characterization of Low-Cost Gas Sensor Systems in Air Quality Monitoring G. Tancev et al. 10.1109/TIM.2022.3198747
- Spatiotemporal distribution of pollutants and impact of local meteorology on source influence on pollutants’ level in a traffic air-shed in Lagos megacity, Nigeria A. Olufemi et al. 10.1007/s10661-023-11757-x
- Self-calibration methods for uncontrolled environments in sensor networks: A reference survey J. Barcelo-Ordinas et al. 10.1016/j.adhoc.2019.01.008
- Development of low-cost air quality stations for next-generation monitoring networks: calibration and validation of NO2 and O3 sensors A. Cavaliere et al. 10.5194/amt-16-4723-2023
- Academically Produced Air Pollution Sensors for Personal Exposure Assessment: The Canarin Project B. Dessimond et al. 10.3390/s21051876
- In Situ Calibration Algorithms for Environmental Sensor Networks: A Review F. Delaine et al. 10.1109/JSEN.2019.2910317
- Long-term behavior and stability of calibration models for NO and NO<sub>2</sub> low-cost sensors H. Kim et al. 10.5194/amt-15-2979-2022
- Integration and calibration of non-dispersive infrared (NDIR) CO<sub>2</sub> low-cost sensors and their operation in a sensor network covering Switzerland M. Müller et al. 10.5194/amt-13-3815-2020
- Low-Cost Outdoor Air Quality Monitoring and Sensor Calibration F. Concas et al. 10.1145/3446005
- Calibration and assessment of electrochemical air quality sensors by co-location with regulatory-grade instruments D. Hagan et al. 10.5194/amt-11-315-2018
- 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
- Air pollution measurement errors: is your data fit for purpose? S. Diez et al. 10.5194/amt-15-4091-2022
- Low‐cost air quality monitoring networks for long‐term field campaigns: A review F. Carotenuto et al. 10.1002/met.2161
- Variational Bayesian calibration of low-cost gas sensor systems in air quality monitoring G. Tancev & F. Toro 10.1016/j.measen.2021.100365
- Electrochemical sensors on board a Zeppelin NT: in-flight evaluation of low-cost trace gas measurements T. Schuldt et al. 10.5194/amt-16-373-2023
- The Relocation Problem of Field Calibrated Low-Cost Sensor Systems in Air Quality Monitoring: A Sampling Bias G. Tancev & C. Pascale 10.3390/s20216198
- Recent Developments in Ozone Sensor Technology for Medical Applications L. Petani et al. 10.3390/mi11060624
- A Survey on Sensor Calibration in Air Pollution Monitoring Deployments B. Maag et al. 10.1109/JIOT.2018.2853660
- Assessment of air quality sensor system performance after relocation S. Zauli-Sajani et al. 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. 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. 10.5194/amt-16-501-2023
- Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning I. Apostolopoulos et al. 10.3390/s24134110
- First-Principles Algorithm for Air Quality Electrochemical Gas Sensors B. Ouyang 10.1021/acssensors.0c01129
- Solution to the Problem of Calibration of Low-Cost Air Quality Measurement Sensors in Networks G. Miskell et al. 10.1021/acssensors.8b00074
- From emissions to source allocation: Synergies and trade-offs between top-down and bottom-up information L. Sartini et al. 10.1016/j.aeaoa.2020.100088
Latest update: 20 Nov 2024
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...