Eficiência do sensor de baixo custo SDS011 para monitoramento de material particulado: estudo de caso em Santarém/PA

Abstract

Air pollution is a serious global problem that affects a large part of the population and the environment, with disastrous effects for both. Therefore, monitoring has become essential to detect its pollutants and monitor air quality. The aim of this study was to evaluate the efficiency of the low-cost SDS011 sensor in monitoring air pollution at Santarém (Pará state), from comparison with LKC-1000S equipment, in the particle matter measurement (PM2.5 and PM10). For this research, a collection campaign was carried out in the city of Santarém (PA), during one week in February 2025, with simultaneous measurements from both pieces of equipment. The data was processed and analyzed using statistical techniques, including Bland-Altman analysis, Spearman's correlation coefficient and the normalized root mean square error (nRMSE). The results show a high correlation between the sensors, with coefficients of 0.99 for PM2.5 and 0.88 for PM10. The Bland-Altman analysis showed that the LKC-1000S tends to slightly overestimate PM2.5 concentrations, but the differences are within acceptable limits of agreement. The nRMSE was 6.14% for PM2.5 and 6.24% for PM10, indicating good sensor accuracy. In conclusion, the SDS011 is a viable tool for monitoring air quality, especially in contexts that require cost-effectiveness, although adjustments are needed to improve accuracy in conditions of high environmental variability. The importance of using low-cost sensors to collect air quality is highlighted, as the results are promising, which corroborates expectations for the development of new sensors.