Measure particulate matter by yourself: data-quality monitoring in a citizen science project

The concern about air quality in urban areas and the impact of particulate matter (PM) on public health is turning into a big debate. A good solution to sensitize people to this issue is to involve them in the process of air quality monitoring. This paper presents contributions in the field of PM me...

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Bibliographic Details
Published in:Journal of sensors and sensor systems 2019-11, Vol.8 (2), p.317-328
Main Authors: Benabbas, Aboubakr, Geißelbrecht, Martin, Nikol, Gabriel Martin, Mahr, Lukas, Nähr, Daniel, Steuer, Simon, Wiesemann, Gabriele, Müller, Thomas, Nicklas, Daniela, Wieland, Thomas
Format: Article
Language:English
Subjects:
Air monitoring
Air pollution
Air quality
Data analysis
Data transfer (computers)
Environmental monitoring
Information management
Low cost
Measuring instruments
Metropolitan areas
Outdoor air quality
Particulate emissions
Public health
Public health movements
Sensors
Technology
Urban areas
Wi-Fi
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Summary:The concern about air quality in urban areas and the impact of particulate matter (PM) on public health is turning into a big debate. A good solution to sensitize people to this issue is to involve them in the process of air quality monitoring. This paper presents contributions in the field of PM measurements using low-cost sensors. We show how a low-cost PM sensor can be extended to transfer data not only over Wi-Fi but also over the LoRa protocol. Then, we identify some of the correlations existing in the data through data analysis. Afterwards, we show how semantic technologies can help model and control sensor data quality in an increasing PM sensor network. We finally wrap up with a conclusion and plans for future work.
ISSN:2194-878X
2194-8771
2194-878X
DOI:10.5194/jsss-8-317-2019