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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

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

TL;DR: In this article, a comparison between the findings from a low-cost electrochemical sensor device and those of a static, fixed site measurement monitoring station is made based on the data quality and Air Quality Index (AQI) concerning data accuracy and quality on adverse health effects due to air pollution.
Journal ArticleDOI

Application of Low-Cost Electrochemical Sensors to Aqueous Systems to Allow Automated Determination of NH3 and H2S in Water.

TL;DR: The use of the proposed mathematical model widens the scope of electrochemical gas sensors to include saturated gas streams, for example, from nebulized water samples, and gas streams with variable humidity.
Proceedings ArticleDOI

SATVAM: Toward an IoT Cyber-Infrastructure for Low-Cost Urban Air Quality Monitoring

TL;DR: The authors' analytical models reduce the errors of the sensors from a best-case of 63% using the factory baseline to as low as 21%, and substantially advances the state-of-the-art in this domain.
Journal ArticleDOI

From emissions to source allocation: Synergies and trade-offs between top-down and bottom-up information

TL;DR: In this article, a series of annual air quality model simulations corresponding to different emission reduction scenarios has been performed with a three-dimensional chemical transport modelling chain running at 3 km resolution.
Journal ArticleDOI

Development of a low-cost measuring system for the monitoring of environmental parameters that affect air quality for human health

TL;DR: The proposed system is a prototype in the initial phase, so only the operational capabilities of the system were evaluated, the response of the sensors to step-type inputs and the measurement of background concentrations in urban interior environments.
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