Articles | Volume 15, issue 11
https://doi.org/10.5194/amt-15-3353-2022
© Author(s) 2022. 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-15-3353-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi
Ashley S. Bittner
Department of Civil, Construction and Environmental Engineering, North
Carolina State University, Raleigh, NC 27606, USA
Eben S. Cross
QuantAQ, Inc., Somerville, MA 02143, USA
David H. Hagan
QuantAQ, Inc., Somerville, MA 02143, USA
Carl Malings
NASA Postdoctoral Program Fellow, Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Eric Lipsky
Department of Energy Engineering, Penn State Greater Allegheny
University, McKeesport, PA 15132, USA
Department of Civil, Construction and Environmental Engineering, North
Carolina State University, Raleigh, NC 27606, USA
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Cited
15 citations as recorded by crossref.
- Performance-based protocol for selection of economical portable sensor for air quality measurement N. Shukla et al. 10.1007/s10661-023-11438-9
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Low-Cost CO Sensor Calibration Using One Dimensional Convolutional Neural Network S. Ali et al. 10.3390/s23020854
- Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study S. Diez et al. 10.5194/amt-17-3809-2024
- 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
- A comprehensive review on advancements in sensors for air pollution applications T. Seesaard et al. 10.1016/j.scitotenv.2024.175696
- Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region V. Nevrlý et al. 10.3390/atmos15111326
- Assessing the spatial transferability of calibration models across a low-cost sensors network V. Malyan et al. 10.1016/j.jaerosci.2024.106437
- Fundamentals of low-cost aerosol sensor design and operation J. Ouimette et al. 10.1080/02786826.2023.2285935
- Study of the Suitability of a Personal Exposure Monitor to Assess Air Quality H. Aljofi et al. 10.3390/atmos15030315
- Statistical Study of Sensor Data and Investigation of ML-Based Calibration Algorithms for Inexpensive Sensor Modules: Experiments From Cape Point T. Barrett & A. Mishra 10.1109/TIM.2024.3372211
- Nanostructural evolution of hydrothermally grown SrTiO3 perovskite and its implementation in gaseous phase detection of ethanol R. Bhardwaj et al. 10.1088/1361-6528/ace44d
- Using in-situ CO2, PM1, PM2.5, and PM10 measurements to assess air change rates and indoor aerosol dynamics S. Westgate & N. Ng 10.1016/j.buildenv.2022.109559
- Leveraging Temporal Information to Improve Machine Learning-Based Calibration Techniques for Low-Cost Air Quality Sensors S. Ali et al. 10.3390/s24092930
- Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi A. Bittner et al. 10.5194/amt-15-3353-2022
14 citations as recorded by crossref.
- Performance-based protocol for selection of economical portable sensor for air quality measurement N. Shukla et al. 10.1007/s10661-023-11438-9
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Low-Cost CO Sensor Calibration Using One Dimensional Convolutional Neural Network S. Ali et al. 10.3390/s23020854
- Long-term evaluation of commercial air quality sensors: an overview from the QUANT (Quantification of Utility of Atmospheric Network Technologies) study S. Diez et al. 10.5194/amt-17-3809-2024
- 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
- A comprehensive review on advancements in sensors for air pollution applications T. Seesaard et al. 10.1016/j.scitotenv.2024.175696
- Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region V. Nevrlý et al. 10.3390/atmos15111326
- Assessing the spatial transferability of calibration models across a low-cost sensors network V. Malyan et al. 10.1016/j.jaerosci.2024.106437
- Fundamentals of low-cost aerosol sensor design and operation J. Ouimette et al. 10.1080/02786826.2023.2285935
- Study of the Suitability of a Personal Exposure Monitor to Assess Air Quality H. Aljofi et al. 10.3390/atmos15030315
- Statistical Study of Sensor Data and Investigation of ML-Based Calibration Algorithms for Inexpensive Sensor Modules: Experiments From Cape Point T. Barrett & A. Mishra 10.1109/TIM.2024.3372211
- Nanostructural evolution of hydrothermally grown SrTiO3 perovskite and its implementation in gaseous phase detection of ethanol R. Bhardwaj et al. 10.1088/1361-6528/ace44d
- Using in-situ CO2, PM1, PM2.5, and PM10 measurements to assess air change rates and indoor aerosol dynamics S. Westgate & N. Ng 10.1016/j.buildenv.2022.109559
- Leveraging Temporal Information to Improve Machine Learning-Based Calibration Techniques for Low-Cost Air Quality Sensors S. Ali et al. 10.3390/s24092930
1 citations as recorded by crossref.
Latest update: 13 Nov 2024
Short summary
We present findings from a 1-year pilot deployment of low-cost integrated air quality sensor packages in rural Malawi using calibration models developed during collocation with US regulatory monitors. We compare the results with data from remote sensing products and previous field studies. We conclude that while the remote calibration approach can help extract useful data, great care is needed when assessing low-cost sensor data collected in regions without reference instrumentation.
We present findings from a 1-year pilot deployment of low-cost integrated air quality sensor...