Research Topic

Low Cost Sensors and Networks for Air Quality Measurements

About this Research Topic

Measurements of air quality with low cost sensor technology have increased in recent years, thanks to various technological advancements in the use of networks of sensors and the rise of smart city technology. Data networking, machine learning techniques, spatio-temporal mapping of the data and other data analysis techniques have enhanced the depth of the data recorded.

This Research Topic welcomes papers illustrating the variety of projects using sensor technology spanning the topics of atmospheric chemistry (and the various species measured: from Particulate Matter (PM) to O3, NO, NO2, CO, CO2, SO2 and accompanying meteorology), engineering and instrument design, urban planning and the use of the data for air quality policy and finally to the use of this instrumentation in public awareness – raising and citizen science.

This Research Topic will show-case the engineering aspects of the sensor set up within the instrumentation and how the individual sensors transmit and relay the data. Some studies will illustrate the calibration procedures where reference instrumentation are used to test the accuracy of the instrumentation and the significance of the air quality measurements in the context of the town, city or region. Other studies will touch on the social context of the measurement and the implications of such a format of gathering air quality data on the public’s attitudes, behavior or policy decisions.


Keywords: Air quality, sensors, air pollution, monitoring, citizen science


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Measurements of air quality with low cost sensor technology have increased in recent years, thanks to various technological advancements in the use of networks of sensors and the rise of smart city technology. Data networking, machine learning techniques, spatio-temporal mapping of the data and other data analysis techniques have enhanced the depth of the data recorded.

This Research Topic welcomes papers illustrating the variety of projects using sensor technology spanning the topics of atmospheric chemistry (and the various species measured: from Particulate Matter (PM) to O3, NO, NO2, CO, CO2, SO2 and accompanying meteorology), engineering and instrument design, urban planning and the use of the data for air quality policy and finally to the use of this instrumentation in public awareness – raising and citizen science.

This Research Topic will show-case the engineering aspects of the sensor set up within the instrumentation and how the individual sensors transmit and relay the data. Some studies will illustrate the calibration procedures where reference instrumentation are used to test the accuracy of the instrumentation and the significance of the air quality measurements in the context of the town, city or region. Other studies will touch on the social context of the measurement and the implications of such a format of gathering air quality data on the public’s attitudes, behavior or policy decisions.


Keywords: Air quality, sensors, air pollution, monitoring, citizen science


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

25 November 2018 Manuscript
17 December 2018 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

25 November 2018 Manuscript
17 December 2018 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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