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The rise of low-cost sensing for managing air pollution in cities

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TLDR
In this article, the authors illustrate the drivers behind current rises in the use of low-cost sensors for air pollution management in cities, whilst addressing the major challenges for their effective implementation.
Abstract
Ever growing populations in cities are associated with a major increase in road vehicles and air pollution. The overall high levels of urban air pollution have been shown to be of a significant risk to city dwellers. However, the impacts of very high but temporally and spatially restricted pollution, and thus exposure, are still poorly understood. Conventional approaches to air quality monitoring are based on networks of static and sparse measurement stations. However, these are prohibitively expensive to capture tempo-spatial heterogeneity and identify pollution hotspots, which is required for the development of robust real-time strategies for exposure control. Current progress in developing low-cost micro-scale sensing technology is radically changing the conventional approach to allow real-time information in a capillary form. But the question remains whether there is value in the less accurate data they generate. This article illustrates the drivers behind current rises in the use of low-cost sensors for air pollution management in cities, whilst addressing the major challenges for their effective implementation.

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Citations
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Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?

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Journal Article

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Journal ArticleDOI

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References
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Proceedings ArticleDOI

Measurement and Analysis of PM Particles Emitted by Automotive Brakes

TL;DR: In this paper, the authors analyzed the PM particle sizes from 0.3 µm to 10 µm during the slow down process, their time and size distribution according to the brake intensity.
Proceedings ArticleDOI

Ubiquitous Environmental Monitoring as Decision Tool - MONITAR SENSE: An Environmental Tool.

TL;DR: The Environmental Monitoring Network applied by Monitar (designated MONITAR SENSE) in Central Portugal namely the mainframe and some results are described.
Book ChapterDOI

Emerging technologies for autonomous in-situ monitoring of water quality

TL;DR: A comparison of current and emerging technologies for water quality monitoring is presented in this article, along with some thoughts on how to move toward a much larger-scale, highly distributed monitoring of water quality.

Field Evaluation and Uncertainty Estimationof Indigenously Developed Light WeightGas Sensor System Over Delhi (Urban) andSunderpur, Kurukshetra (Rural)

TL;DR: In this paper, a low-cost measurement network is proposed to capture the fine spatial and temporal variability of gaseous pollutants, which is required for low cost measurement of air quality.

Source profiling for smart city sensing

Yihong Zhang
TL;DR: This thesis focuses on two types of sensing sources that have been used in smart city sensing projects, namely, environmental sensors and human sensors.
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