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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6,128
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8,189
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Total article views: 5,617 (including HTML, PDF, and XML)
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4,434
1,066
117
5,617
144
179
180
HTML: 4,434
PDF: 1,066
XML: 117
Total: 5,617
Supplement: 144
BibTeX: 179
EndNote: 180
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Total article views: 2,572 (including HTML, PDF, and XML)
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1,694
780
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2,572
266
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138
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Total: 2,572
Supplement: 266
BibTeX: 108
EndNote: 138
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Total article views: 8,189 (including HTML, PDF, and XML)
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Total article views: 5,617 (including HTML, PDF, and XML)
Thereof 5,380 with geography defined
and 237 with unknown origin.
Total article views: 2,572 (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...