Articles | Volume 16, issue 12
https://doi.org/10.5194/amt-16-3313-2023
© Author(s) 2023. 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-16-3313-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Field evaluation of low-cost electrochemical air quality gas sensors under extreme temperature and relative humidity conditions
Roubina Papaconstantinou
Climate and Atmosphere Research Centre, The Cyprus Institute, 2121 Nicosia, Cyprus
Marios Demosthenous
Climate and Atmosphere Research Centre, The Cyprus Institute, 2121 Nicosia, Cyprus
Spyros Bezantakos
Climate and Atmosphere Research Centre, The Cyprus Institute, 2121 Nicosia, Cyprus
Neoclis Hadjigeorgiou
Climate and Atmosphere Research Centre, The Cyprus Institute, 2121 Nicosia, Cyprus
Marinos Costi
Climate and Atmosphere Research Centre, The Cyprus Institute, 2121 Nicosia, Cyprus
Melina Stylianou
Medisell Co Ltd, 2033 Nicosia, Cyprus
Elli Symeou
Medisell Co Ltd, 2033 Nicosia, Cyprus
Chrysanthos Savvides
Department of Labour Inspection, Ministry of Labour Welfare and Social Insurance, 1463 Nicosia, Cyprus
George Biskos
CORRESPONDING AUTHOR
Climate and Atmosphere Research Centre, The Cyprus Institute, 2121 Nicosia, Cyprus
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628CN Delft, the Netherlands
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Cited
11 citations as recorded by crossref.
- Minimized Training of Machine Learning-Based Calibration Methods for Low-Cost O3 Sensors S. Tondini et al. 10.1109/JSEN.2023.3339202
- Wearable Nano-Based Gas Sensors for Environmental Monitoring and Encountered Challenges in Optimization S. Hooshmand et al. 10.3390/s23208648
- Development of a Unified IoT Platform for Assessing Meteorological and Air Quality Data in a Tropical Environment D. Kairuz-Cabrera et al. 10.3390/s24092729
- Highly Sensitive Wireless NO2 Gas Sensing System Z. Bizak et al. 10.1109/JSEN.2023.3281270
- Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning I. Apostolopoulos et al. 10.3390/s24134110
- An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations K. Okorn & L. Iraci 10.5194/amt-17-6425-2024
- Enhancing the Reliability of NO2 Monitoring Using Low-Cost Sensors by Compensating for Temperature and Humidity Effects D. Alejo Sánchez et al. 10.3390/atmos15111365
- A comprehensive review on advancements in sensors for air pollution applications T. Seesaard et al. 10.1016/j.scitotenv.2024.175696
- 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
- Field evaluation of low-cost electrochemical air quality gas sensors under extreme temperature and relative humidity conditions R. Papaconstantinou et al. 10.5194/amt-16-3313-2023
- Understanding the effect of temperature and relative humidity on sensor sensitivities in field environments and improving the calibration models of multiple electrochemical carbon monoxide (CO) sensors in a tropical environment R. Ariyaratne et al. 10.1016/j.snb.2023.133935
9 citations as recorded by crossref.
- Minimized Training of Machine Learning-Based Calibration Methods for Low-Cost O3 Sensors S. Tondini et al. 10.1109/JSEN.2023.3339202
- Wearable Nano-Based Gas Sensors for Environmental Monitoring and Encountered Challenges in Optimization S. Hooshmand et al. 10.3390/s23208648
- Development of a Unified IoT Platform for Assessing Meteorological and Air Quality Data in a Tropical Environment D. Kairuz-Cabrera et al. 10.3390/s24092729
- Highly Sensitive Wireless NO2 Gas Sensing System Z. Bizak et al. 10.1109/JSEN.2023.3281270
- Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning I. Apostolopoulos et al. 10.3390/s24134110
- An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations K. Okorn & L. Iraci 10.5194/amt-17-6425-2024
- Enhancing the Reliability of NO2 Monitoring Using Low-Cost Sensors by Compensating for Temperature and Humidity Effects D. Alejo Sánchez et al. 10.3390/atmos15111365
- A comprehensive review on advancements in sensors for air pollution applications T. Seesaard et al. 10.1016/j.scitotenv.2024.175696
- 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
2 citations as recorded by crossref.
- Field evaluation of low-cost electrochemical air quality gas sensors under extreme temperature and relative humidity conditions R. Papaconstantinou et al. 10.5194/amt-16-3313-2023
- Understanding the effect of temperature and relative humidity on sensor sensitivities in field environments and improving the calibration models of multiple electrochemical carbon monoxide (CO) sensors in a tropical environment R. Ariyaratne et al. 10.1016/j.snb.2023.133935
Latest update: 20 Nov 2024
Short summary
In this paper, we investigate the performance of low-cost electrochemical gas sensors. We carried out yearlong measurements at a traffic air quality monitoring station, where the low-cost sensors were collocated with reference instruments and exposed to highly variable environmental conditions with extremely high temperatures and low relative humidity (RH). Sensors provide measurements that exhibit increasing errors and decreasing correlations as temperature increases and RH decreases.
In this paper, we investigate the performance of low-cost electrochemical gas sensors. We...