355: Protocol For Installing Low-Cost Sensor To Measure Urban Health Metrics

Research shows that 99% of the global population is exposed to polluted air. However, air quality monitoring is limited due to the high cost and restricted coverage of official systems. Although low-cost devices have emerged as an alternative, they still face challenges related to standardization and accuracy. This study presents the field application of an Arduino microcontroller device equipped with an electrochemical carbon monoxide (CO) sensor. The study highlights how staged procedures—laboratory tests, initial field testing, and calibration—significantly improved data reliability. Two calibration phases resulted in correlation coefficients that align with international standards, confirming the effectiveness of iterative improvements. The study focused on a single pollutant (CO) and on detailing in practical in- and off-field procedures, not including quantitative data. Future works should aim to enhance device durability and expand its monitoring capabilities. This research contributes to the development of practical, replicable solutions for educational endeavors and environmental awareness campaigns, contributing to urban management and smart city metrics.