EventsThe 12th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session S6. Electronic Sensors, Devices, and Systems of the event The 12th International Electronic Conference on Sensors and Applications
Published date
07 Nov, 2025
Academic Editor
author-avatarStefano Mariani
Citation
Valerio Pfister, Mario Prato, Michele Penza, An anemometer integration in a low-cost air quality sensor system: A real-world case study., in Proceedings of The 12th International Electronic Conference on Sensors and Applications, 12 November–14 November 2025, MDPI: Basel, Switzerland, doi: 10.3390/ECSA-12-26552
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An anemometer integration in a low-cost air quality sensor system: A real-world case study.

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1. ENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Brindisi Research Centre, Strada Statale 7, Appia, Km 706, I-72100 Brindisi, Italy, Italy
Abstract

The field deployment of low-cost air quality sensors systems enables enhanced spatial resolution in air quality monitoring. Although these sensor systems cannot achieve the same accuracy as regulatory monitoring stations, they can attain acceptable levels of confidence and provide Indicative Measurements as regulated by Ambient Air Quality EU Directive. The integration of an anemometer into a system can provide additional information for the classification of the measurement area, the identification of potential sources of pollutant emissions, and the assessment of the device’s operating conditions during measurement. The measurement capabilities of an Airbox, a low-cost air quality sensor system, have been extended through the integration of a DW6410 anemometer (Davis Instruments). The Airbox, designed to transmit data in real-time or near real-time to servers and IoT platforms, was deployed for a duration of 4 months, from October 2021 to February 2022, within the airport area of Grottaglie (Southern Italy). The anemometric measurements and particulate concentration data (PM2.5 and PM10, measured by NextPM sensor, Tera Sensor) were integrated and compared to meteorological open data and data from a regulatory regional air quality control network located in the area around the airport.

Keywords
air pollution
air quality monitoring
low-cost sensor systems
detection of pollutant emission sources
air pollutant flow rates.
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