University of Stuttgart, Institute of Combustion and Power Plant Technology, Department of Flue Gas Cleaning and Air Quality Control, Stuttgart, 70569, Germany
now at: German Aerospace Center, Institute of Combustion Technology, Stuttgart, 70569, Germany
Héctor García-Salamero
University of Stuttgart, Institute of Combustion and Power Plant Technology, Department of Flue Gas Cleaning and Air Quality Control, Stuttgart, 70569, Germany
Bernd Laquai
University of Stuttgart, Institute of Combustion and Power Plant Technology, Department of Flue Gas Cleaning and Air Quality Control, Stuttgart, 70569, Germany
Ulrich Vogt
University of Stuttgart, Institute of Combustion and Power Plant Technology, Department of Flue Gas Cleaning and Air Quality Control, Stuttgart, 70569, Germany
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5,761
1,728
167
7,656
378
201
225
HTML: 5,761
PDF: 1,728
XML: 167
Total: 7,656
Supplement: 378
BibTeX: 201
EndNote: 225
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Cumulative views and downloads
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Total article views: 5,206 (including HTML, PDF, and XML)
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EndNote
4,134
994
78
5,206
130
102
95
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PDF: 994
XML: 78
Total: 5,206
Supplement: 130
BibTeX: 102
EndNote: 95
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Cumulative views and downloads
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Total article views: 2,450 (including HTML, PDF, and XML)
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1,627
734
89
2,450
248
99
130
HTML: 1,627
PDF: 734
XML: 89
Total: 2,450
Supplement: 248
BibTeX: 99
EndNote: 130
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Cumulative views and downloads
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Total article views: 7,656 (including HTML, PDF, and XML)
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Total article views: 5,206 (including HTML, PDF, and XML)
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Total article views: 2,450 (including HTML, PDF, and XML)
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Low-cost sensors have been increasing used to measure air pollutants in environmental epidemiology. This work investigated the calibration and performance evaluation of PM2.5 and NO2 sensors, and introduced novel methodologies for field sensor validation during deployment. The manuscript is thorough and systematic in data treatment, and could be used a best practice guide for the application of sensors to air pollution and epidemiological studies.
Low-cost sensors have been increasing used to measure air pollutants in environmental...
This study evaluates PM2.5 and NO2 sensors for their use in health studies. Sensors were calibrated using data from reference instruments, and regression and machine learning models were evaluated, identifying opportunities and limitations in model transferability in both indoor and outdoor environments and showcasing the importance of integrating metadata such as activity logs and diffusive tubes to improve data validation and interpretation during deployment in the houses of the participants.
This study evaluates PM2.5 and NO2 sensors for their use in health studies. Sensors were...