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A New Approach for Air Quality Monitoring: A Case Study of Recife, Brazil

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Advanced Research in Technologies, Information, Innovation and Sustainability (ARTIIS 2022)

Abstract

The association of quality of life and air quality are intrinsic to the factors of analysis of the development of urban spaces and their sustainable assessment. Inserted in urban expansion and population growth, factors such as air pollution are commonly related to the understanding of the dynamics of the city and therefore, this factor constitutes a fundamental study for solution and planning. Thus, every year, new guidelines are formulated for the understanding of air pollution and its monitoring, however, contexts such as those of Brazil present the growth of urban spaces and therefore the increase of air pollution but still without the presence of appropriate plans for the management of air quality, which leaves cities helpless as to the level of pollutants in the air. In 2021, IEMA [9] showed that 16 Brazilian state capitals did not have air quality monitoring, one of them being Recife, capital of Pernambuco, therefore, this work gathers methods already used in the state of the art and proposes a new approach as to the development method for monitoring networks in places that present monitoring deficiency, being addressed the case study of Recife. The results of this work a modifiable methodology for the implementation of monitoring networks evaluating essential collection points and proposing a device model to meet the urban contexts in order to assess urban pollutants and collaborate with the urban dynamics and for the city management through the improvement of data collection and air quality management.

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Correspondence to Ryan Gomes Paiva , Rômulo César Carvalho de Araújo or Henrique Correia Torres Santos .

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Paiva, R.G. et al. (2022). A New Approach for Air Quality Monitoring: A Case Study of Recife, Brazil. In: Guarda, T., Portela, F., Augusto, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2022. Communications in Computer and Information Science, vol 1676. Springer, Cham. https://doi.org/10.1007/978-3-031-20316-9_4

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  • DOI: https://doi.org/10.1007/978-3-031-20316-9_4

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