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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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References
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Sensor network for PM2.5 measurements on an academic campus area

TL;DR: In this paper, the authors present a sensor network for campus area of Wroclaw University of Science and Technology, consisting of 20 sensor nodes, distributed both on a narrow scale (14 devices on the main campus area) and on a wide scale (devices on campuses in distant parts of the city).
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High spatial resolution IoT based air PM measurement system

TL;DR: In this paper, the authors developed an alternative particulate matter measurement system which is portable and low-cost (less than 200 USD) and also integrated with cloud computing, which allows real time distant monitoring of PM particles with high spatial resolution (meter range).

Contribuições ao projeto de leitores e dispositivos sensores baseados em retroespalhamento sem chip, de baixo custo

TL;DR: It was identified that the reading range is one of the most important concerns of chipless monitoring systems, specifically when both the sensor and the reader are size restricted due to a specific application, and a new sensor design is proposed to tackle this issue.
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Enhancing the Data Learning With Physical Knowledge in Fine-Grained Air Pollution Inference

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