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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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Journal ArticleDOI

Evaluation and calibration of a low-cost particle sensor in ambient conditions using machine-learning methods

TL;DR: In this paper, a low-cost fine particle monitor (Plantower PMS 5003) was used with a reference instrument, the Synchronized Hybrid Ambient Real-time Particulate (SHARP) monitor, at the Calgary Varsity air monitoring station from December 2018 to April 2019.
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Air quality monitoring using mobile low-cost sensors mounted on trash-trucks: Methods development and lessons learned

TL;DR: In this article, the authors proposed a technique to identify aerosol hotspots and to assess the generalizable map of fine and coarse particle number concentrations, to understand qualitatively the contribution of local and regional sources across the region sampled.
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Localized real-time information on outdoor air quality at kindergartens in Oslo, Norway using low-cost sensor nodes

TL;DR: It is shown that low‐cost sensors can provide an indication of outdoor air quality, and a data fusion technique is employed that allows generating a detailed air quality map merging the data from the sensors and theData from an urban model, thus being able to offer air quality information to any location within Oslo.
Journal ArticleDOI

Tunable Infrared Metamaterial Emitter for Gas Sensing Application

TL;DR: This work provides a strategy for electro-thermal-optical devices to be used as sensors, emitters, and switches in the IR wavelength range by tailoring the suitable metamaterial pattern.
Journal ArticleDOI

In Situ Calibration Algorithms for Environmental Sensor Networks: A Review

TL;DR: A taxonomy of the methodologies in the literature is proposed, which relies on both the architecture of the network of sensors and the algorithmic principles of the calibration methods, and focuses on in situ calibration methods for environmental sensor networks.
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