Multivariate air pollution classification in urban areas using mobile sensors and self-organizing maps

Oliveira, Richard Honorato de; Carneiro, Cleyton de Carvalho; Filho, Flávio Guilherme Vaz de Almeida; Oliveira, B. M. de; Nunes, Eduardo H.M.; Santos, Alessandro Santiago dos

doi:10.1007/s13762-018-2060-9

Cited by 7 publications

(4 citation statements)

References 43 publications

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“…On the other hand, in Sao Paulo, Brazil [40], researchers collected measurements of CO, CO 2 , NO 2 and O 3 as well as temperature, humidity, altitude and velocity. The measurements were taken in five different routes with cars equipped with electrochemical sensors and they used geo-data map techniques to capture these measurements.…”

Section: Field Data and Methodologymentioning

confidence: 99%

Performance of Aether Low-Cost Sensor Device for Air Pollution Measurements in Urban Environments. Accuracy Evaluation Applying the Air Quality Index (AQI)

2021

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Significant portions of European cities’ population are still exposed to levels of air pollution deemed harmful by the World Health Organization. Given the high impact of air pollution both on human health and the economy, numerous low-cost electrochemical sensor monitoring systems are being installed. The market is forced to develop new air quality monitoring systems to meet the needs of providing forecasting services based on advanced technologies and protocols that utilize certain characteristics such as high accuracy, real-time monitoring, daily and yearly statistics, data access from both experts and simple users with the use of low-cost equipment. In this study, conducted in Athens, Greece, a comparison is attempted between the findings from a low-cost electrochemical sensor device and those of a static, fixed site measurement monitoring station; this comparison is based on the data quality and Air Quality Index (AQI) concerning data accuracy and quality on adverse health effects due to air pollution. With regard to the prediction of different AQI intervals, TPR ranges from 35.2% up to 100.0%, FPR from 0.0% up to 36.1% and FNR from 0.0% up to 38.1%. The outcome of this study reveals flexible and affordable alternatives adopted during the evaluation and calibration of low-cost gas sensors for monitoring.

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Section: Field Data and Methodologymentioning

confidence: 99%

Performance of Aether Low-Cost Sensor Device for Air Pollution Measurements in Urban Environments. Accuracy Evaluation Applying the Air Quality Index (AQI)

2021

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“…On the other hand, in Sao Paulo, Brazil [25] researchers collect measurements of CO, CO2, NO2 and O3 as well as temperature, humidity, altitude and velocity. The measurements recorded in 5 different routes with cars equipped with electrochemical sensors and they used geo-data map techniques to capture these measurements.…”

Section: Field Data and Methodologymentioning

confidence: 99%

Performance of Low-Cost Sensors for Air Pollution Measurements in Urban Environments. Accuracy Evaluation Applying the Air Quality Index (AQI)

Spyropoulos¹,

Nastos²,

Moustris³

2021

Preprint

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Most people living in Europe's cities are still exposed to levels of air pollution deemed harmful by the World Health Organization. In the modern world, air pollution is the foremost concern because of its impact in human health and economy. This strong connection appears gaining a lot of concern, driven by new installed low-cost electrochemical sensors monitoring systems. Highly accuracy, real-time monitoring, daily and yearly statistics, data access from experts or simple users, low-cost equipment and forecasting needs, enforce the market to develop new air quality monitoring systems using advanced technologies and protocols. In this study, a comparison via low-cost electrochemical sensors and of static, fixed site measurement monitoring station, is taking place in Athens, Greece, along with the data quality and Air Quality Index (AQI) including data accuracy and quality of data concerning adverse health effects due to air pollution. The findings presented in this work, relate to different flexible and affordable alternatives adopted during the evaluation and calibration of low-cost gas sensors for the monitoring. The significance of the positive results is particularly useful, especially considering the founding for interference, environmental conditions affections and air quality information including indexes and health recommendations for a specific location.

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“…The SOM analysis allows to establish relationships and classify different samples by converting complex nonlinear statistical relationships into simple geometric relationships offering greater potential for data visualization. Currently, there is a considerable amount of research, which uses this tool tackling environmental subjects with different purposes, as for example, to assess sediment and dredged material quality [28][29][30][31], to interpret and analyse the release of pollutants from sediment in contact with acidified seawater [32] and to assess water [33,34] and air quality [35][36][37]. However, it is important to highlight that there are no published studies which apply this tool to analyse the technical and environmental feasibility of construction materials incorporating waste.…”

Section: Introductionmentioning

confidence: 99%

Self-Organizing Maps to Assess the Recycling of Waste in Ceramic Construction Materials

et al. 2021

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Circular economy promotes the use of waste materials into new production processes as a key factor for resource efficiency. The construction sector, and specifically the fired clay industry, is able to assimilate large amounts of waste in their processes, without significantly altering the technical properties of products. The introduction of different waste in ceramic products at the laboratory level has been extensively studied in the literature, but most of these studies have not yet been scaled-up to industrial production. Differences in processing with respect to laboratory conditions introduces uncertainty in relation to the expected properties of the final products. This paper uses a Self-Organizing Map (SOM)-based methodology for analysing and assessing the incorporation of industrial waste, Waelz slag (WS) and foundry sand dust (FSD), in ceramic products obtained sequentially at laboratory, semi-industrial and industrial level, over technological properties and metals release. As a result, from the SOM analysis, a clustered map of the samples developed is obtained that highlights the most important parameters affecting the technological and environmental properties to be the type of clay and therefore, the firing temperature; secondly, the Waelz slag content, being independent of the foundry sand addition; and finally, the type and level of processing (laboratory-pressing, semi-industrial extruder, industrial extruder).

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Multivariate air pollution classification in urban areas using mobile sensors and self-organizing maps

Cited by 7 publications

References 43 publications

Performance of Aether Low-Cost Sensor Device for Air Pollution Measurements in Urban Environments. Accuracy Evaluation Applying the Air Quality Index (AQI)

Performance of Aether Low-Cost Sensor Device for Air Pollution Measurements in Urban Environments. Accuracy Evaluation Applying the Air Quality Index (AQI)

Performance of Low-Cost Sensors for Air Pollution Measurements in Urban Environments. Accuracy Evaluation Applying the Air Quality Index (AQI)

Self-Organizing Maps to Assess the Recycling of Waste in Ceramic Construction Materials

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