Avaliação do Impacto da Temperatura e Umidade em Sensores de Baixo Custo de Material Particulado
Abstract
Low-cost particulate matter (LC-PM) sensors have been studied around the world as a viable alternative to expensive reference stations for monitoring air quality. However, LC-PM sensors data are often inaccurate and subject to uncertainty, suffering with the conditions of the environment in which they work. This work evaluates the impact of temperature and humidity on 5 LC-PM sensors over a period of 4 months. The LC-PM sensors are compared with a reference equipment in order to propose a methodology to select the MP-BC sensor that will compose a low-cost air quality station in the context of smart cities. Results demonstrate that the evaluated sensors present better correlation with the reference equipment when the readings in which temperature and humidity are critical are taken from the sample.
References
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Concas, F., Mineraud, J., Lagerspetz, E., Varjonen, S., Liu, X., Puolamäki, K., . . . Tarkoma, S. (2021, may). Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis. ACM Transactions on Sensor Networks, 17(2). doi: 10.1145/3446005
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Kosmopoulos, G., Salamalikis, V., Pandis, S., Yannopoulos, P., Bloutsos, A., Kazantzidis, A. (2020). Low-cost sensors for measuring airborne particulate matter: Field evaluation and calibration at a south-eastern european site. Science of The Total Environment, 748, 141396. doi: 10.1016/j.scitotenv.2020.141396
Landrigan, P. J., Fuller, R., Acosta, N. J., Adeyi, O., Arnold, R., Baldé, A. B., . . . others (2018). The lancet commission on pollution and health. The lancet, 391(10119), 462-512.
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Martins, L. D. (2022). Development of environmental quality monitoring network in smart cities - envcity. Disponível em: [link].
Morawska, L., Thai, P. K., Liu, X., Asumadu-Sakyi, A., Ayoko, G., Bartonova, A., . . . Williams, R. (2018). Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone? Environment International, 116, 286-299. doi: 10.1016/j.envint.2018.04.018
Moreira, C. A., Squizzato, R., Beal, A., de Almeida, D. S., Rudke, A. P., Ribeiro, M., . . . Martins, L. D. (2018). Natural variability in exposure to fine particles and their trace elements during typical workdays in an urban area. Transportation Research Part D: Transport and Environment, 63, 333-346. doi: 10.1016/j.trd.2018.06.010
N. Genikomsakis, K., Galatoulas, N.-F., I. Dallas, P., Candanedo Ibarra, L. M., Margaritis,
D., S. Ioakimidis, C. (2018). Development and on-field testing of low-cost portable system for monitoring pm2.5 concentrations. Sensors, 18(4). doi: 10.3390/s18041056
Our World in Data. (2022). Data review: How many people die from air pollution? Disponível em: https://ourworldindata.org/data-review-air-pollution-deaths
Sachetti, L., Cussuol, E., Nogueira, J., Mota, V. (2021). pmsensing: Uma rede de sensoriamento participativo para monitoramento preditivo de material particulado. In Anais do v workshop de computação urbana (pp. 168-181). Porto Alegre, RS, Brasil: SBC. Disponível em: [link]
Sayahi, T., Butterfield, A., Kelly, K. (2019). Long-term field evaluation of the plantower pms low-cost particulate matter sensors. Environmental Pollution, 245, 932-940. Disponível em: [link] doi: https://doi.org/10.1016/j.envpol.2018.11.065
Shandong Nova Fitness Co., L. (2015, 10). Laser pm2.5 sensor specification (No. V1.3).
WHO. (2022). Air pollution. Disponível em: [link]
Zhang, J., Marto, J. P., Schwab, J. J. (2018). Exploring the applicability and limitations of selected optical scattering instruments for pm mass measurement. Atmospheric Measurement Techniques, 11(5), 2995-3005. doi: 10.5194/amt-11-2995-2018
Zusman, M., Schumacher, C. S., Gassett, A. J., Spalt, E. W., Austin, E., Larson, T. V., . . . Sheppard, L. (2020). Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study. Environment International, 134, 105329. doi: 10.1016/j.envint.2019.105329
Published
2022-05-23
How to Cite
PASTÓRIO, André F.; SPANHOL, Fabio A.; MARTINS, Leila D.; CAMARGO, Edson T. de.
Avaliação do Impacto da Temperatura e Umidade em Sensores de Baixo Custo de Material Particulado. In: URBAN COMPUTING WORKSHOP (COURB), 6. , 2022, Fortaleza.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 168-181.
ISSN 2595-2706.
DOI: https://doi.org/10.5753/courb.2022.223506.
