Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment

Florentin Bulot; Steven Johnston; Philip J Basford; Hazel Celeste Easton Natasha; Mihaela Apetroaie-Cristea; Gavin Foster; Andrew Morris; Simon Cox; Matthew Loxham

doi:10.1038/s41598-019-43716-3

Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment

Florentin Bulot
, Steven Johnston
, Philip J Basford
, Hazel Celeste Easton Natasha
, Mihaela Apetroaie-Cristea
, Gavin Foster
, Andrew Morris
, Simon Cox
, Matthew Loxham

Research output: Contribution to journal › Article › peer-review

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Abstract

Exposure to ambient particulate matter (PM) air pollution is a leading risk factor for morbidity and mortality, associated with up to 8.9 million deaths/year worldwide. Measurement of personal exposure to PM is hindered by poor spatial resolution of monitoring networks. Low-cost PM sensors may improve monitoring resolution in a cost-effective manner but there are doubts regarding data reliability. PM sensor boxes were constructed using four low-cost PM micro-sensor models. Three boxes were deployed at each of two schools in Southampton, UK, for around one year and sensor performance was analysed. Comparison of sensor readings with a nearby background station showed moderate to good correlation (0.61

Original language	English
Article number	7497
Number of pages	13
Journal	Scientific Reports
Volume	9
DOIs	https://doi.org/10.1038/s41598-019-43716-3
Publication status	Published - 16 May 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

particulate matter
Sensor Networks
Citizen Science
exposure
Air Pollution
RCUK
NERC
BBSRC
EPSRC
NE/L002531/1
BB/P011365/1
EP/P004024/1

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10.1038/s41598-019-43716-3

Long-term feld comparisonFinal published version, 3.54 MBLicence: CC BY

https://eprints.soton.ac.uk/430834/

Cite this

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abstract = "Exposure to ambient particulate matter (PM) air pollution is a leading risk factor for morbidity and mortality, associated with up to 8.9 million deaths/year worldwide. Measurement of personal exposure to PM is hindered by poor spatial resolution of monitoring networks. Low-cost PM sensors may improve monitoring resolution in a cost-effective manner but there are doubts regarding data reliability. PM sensor boxes were constructed using four low-cost PM micro-sensor models. Three boxes were deployed at each of two schools in Southampton, UK, for around one year and sensor performance was analysed. Comparison of sensor readings with a nearby background station showed moderate to good correlation (0.61",

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AU - Bulot, Florentin

AU - Johnston, Steven

AU - Basford, Philip J

AU - Easton Natasha, Hazel Celeste

AU - Apetroaie-Cristea, Mihaela

AU - Foster, Gavin

AU - Morris, Andrew

AU - Cox, Simon

AU - Loxham, Matthew

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KW - particulate matter

KW - Sensor Networks

KW - Citizen Science

KW - exposure

KW - Air Pollution

KW - RCUK

KW - NERC

KW - BBSRC

KW - EPSRC

KW - NE/L002531/1

KW - BB/P011365/1

KW - EP/P004024/1

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Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment

Abstract

UN SDGs

Keywords

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