Sorry, you need to enable JavaScript to visit this website.

Networked Low-Cost Sensor Systems for Urban Air Quality Monitoring: A Long-Term Use-Case in Bari (Italy)

TitleNetworked Low-Cost Sensor Systems for Urban Air Quality Monitoring: A Long-Term Use-Case in Bari (Italy)
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2025
AuthorsPenza, Michele, Suriano Domenico, Pfister Valerio, Dipinto Sebastiano, Prato Mario, and Cassano Gennaro
JournalChemosensors
Volume13
Type of ArticleArticle
Abstract

A sensor network based on 10 stationary nodes distributed in Bari (Southern Italy) has been deployed for urban air quality (AQ) monitoring. The low-cost sensor systems have been installed in specific sites (e.g., buildings, offices, schools, streets, ports, and airports) to enhance environmental awareness of the citizens and to supplement the expensive official air-monitoring stations with cost-effective sensor nodes at high spatial and temporal resolution. Continuous measurements were performed by low-cost electrochemical gas sensors (CO, NO2, O3), optical particle counter (PM10), and NDIR infrared sensor (CO2), including micro-sensors for temperature and relative humidity. The sensors are operated to assess the performance during a campaign (July 2015–December 2017) of several months for citizen science in sustainable smart cities. Typical values of CO2, measured by distributed nodes, varied from 312 to 494 ppm (2016), and from 371 to 527 ppm (2017), depending on seasonal micro-climate change and site-specific conditions. The results of the AQ-monitoring long-term campaign for selected sensor nodes are presented with a relative error of 26.2% (PM10), 21.7% (O3), 25.5% (NO2), and 79.4% (CO). These interesting results suggest a partial compliance, excluding CO, with Data Quality Objectives (DQO) by the European Air Quality Directive (2008/50/EC) for Indicative (Informative) Measurements. © 2025 by the authors.

Notes

Cited by: 0; Conference name: null; Conference sponsors: ; Conference code: null; Conference date:

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-105023216070&doi=10.3390%2Fchemosensors13110380&partnerID=40&md5=2bced8be9ab9c1951fdbaa997b4ba4fe
DOI10.3390/chemosensors13110380
Citation KeyPenza2025