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End-user Perspective of Low-cost Sensors for Outdoor Air Pollution Monitoring

Rai, Aakash, Kumar, Prashant, Pilla, Francesco, Skouloudis, Andreas, Di Sabatino, Silvana, Ratti, Carlo, Yasar, Ansar and Rickerby, David (2017) End-user Perspective of Low-cost Sensors for Outdoor Air Pollution Monitoring Science of The Total Environment, 607-8. pp. 691-705.

Rai Kumar 2017_STOTEN Sensor Accepted.pdf - Accepted version Manuscript

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Low-cost sensor technology can potentially revolutionise the area of air pollution monitoring by providing high-density spatiotemporal pollution data. Such data can be utilised for supplementing traditional pollution monitoring, improving exposure estimates, and raising community awareness about air pollution. However, data quality remains a major concern that hinders the widespread adoption of low-cost sensor technology. Unreliable data may mislead unsuspecting users and potentially lead to alarming consequences such as reporting acceptable air pollutant levels when they are above the limits deemed safe for human health. This article provides scientific guidance to the end-users for effectively deploying low-cost sensors for monitoring air pollution and people's exposure, while ensuring reasonable data quality. We review the performance characteristics of several low-cost particle and gas monitoring sensors and provide recommendations to end-users for making proper sensor selection by summarizing the capabilities and limitations of such sensors. The challenges, best practices, and future outlook for effectively deploying low-cost sensors, and maintaining data quality is also discussed. For data quality assurance, a two-stage sensor calibration process is recommended, which includes laboratory calibration under controlled conditions by the manufacturer supplemented with routine calibration checks performed by the end user under final deployment conditions. For large sensor networks where routine calibration checks are impractical, statistical techniques for data quality assurance should be utilised. Further advancements and adoption of sophisticated mathematical and statistical techniques for sensor calibration, fault detection, and data quality assurance can indeed help to realise the promised benefits of a low-cost air pollution sensor network.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
Pilla, Francesco
Skouloudis, Andreas
Di Sabatino, Silvana
Ratti, Carlo
Yasar, Ansar
Rickerby, David
Date : 27 July 2017
DOI : 10.1016/j.scitotenv.2017.06.266
Copyright Disclaimer : © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Uncontrolled Keywords : Pollution exposure; Human health; Outdoor pollution sensing; Environmental sensing; Real-time exposure
Depositing User : Melanie Hughes
Date Deposited : 30 Jun 2017 15:44
Last Modified : 27 Jul 2018 02:08

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