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Laboratory comparison of low-cost particulate matter sensors to measure transient events of pollution

Laboratory comparison of low-cost particulate matter sensors to measure transient events of pollution
Laboratory comparison of low-cost particulate matter sensors to measure transient events of pollution
Airborne particulate matter (PM) exposure has been identified as a key environmental risk factor, associated especially with diseases of the respiratory and cardiovascular system and with almost 9 million premature deaths per year. Low-cost optical sensors for PM measurement are desirable for monitoring exposure closer to the personal level and particularly suited for developing spatiotemporally dense city sensor networks. However, questions remain over the accuracy and reliability of the data they produce, particularly regarding the influence of environmental parameters such as humidity and temperature, and with varying PM sources and concentration profiles. In this study, eight units each of five different models of commercially available low-cost optical PM sensors (40 individual sensors in total) were tested under controlled laboratory conditions, against higher-grade instruments for: lower limit of detection, response time, responses to sharp pollution spikes lasting <1 min , and the impact of differing humidity and PM source. All sensors detected the spikes generated with a varied range of performances depending on the model and presenting different sensitivity mainly to sources of pollution and to size distributions with a lesser impact of humidity. The sensitivity to particle size distribution indicates that the sensors may provide additional information to PM mass concentrations. It is concluded that improved performance in field monitoring campaigns, including tracking sources of pollution, could be achieved by using a combination of some of the different models to take advantage of the additional information made available by their differential response
Air pollution, Laboratory study, Low-cost sensor, Particulate matter
1424-8220
Bulot, Florentin
47870de2-3ba2-4425-b07a-16ce48ee3956
Russell, Hugo
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Rezaei, Mohsen
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Johnson, Matthew
1a215583-ad12-4da3-93db-b0ea3c0b24b6
Ossont, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Morris, Andrew
00ef3bfb-219c-4ea7-86d2-dd4d71c083a6
Basford, Philip J
efd8fbec-4a5f-4914-bf29-885b7f4677a7
Easton, Natasha, Hazel Celeste
56583bc7-b005-40d8-8571-99d335430a8f
Foster, Gavin
fbaa7255-7267-4443-a55e-e2a791213022
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Bulot, Florentin
47870de2-3ba2-4425-b07a-16ce48ee3956
Russell, Hugo
82688a2f-7f7c-4ee3-80f0-3e125e470544
Rezaei, Mohsen
1166f6eb-0fc4-4d13-87bb-8743b23565da
Johnson, Matthew
1a215583-ad12-4da3-93db-b0ea3c0b24b6
Ossont, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Morris, Andrew
00ef3bfb-219c-4ea7-86d2-dd4d71c083a6
Basford, Philip J
efd8fbec-4a5f-4914-bf29-885b7f4677a7
Easton, Natasha, Hazel Celeste
56583bc7-b005-40d8-8571-99d335430a8f
Foster, Gavin
fbaa7255-7267-4443-a55e-e2a791213022
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Cox, Simon
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Bulot, Florentin, Russell, Hugo, Rezaei, Mohsen, Johnson, Matthew, Ossont, Steven, Morris, Andrew, Basford, Philip J, Easton, Natasha, Hazel Celeste, Foster, Gavin, Loxham, Matthew and Cox, Simon (2020) Laboratory comparison of low-cost particulate matter sensors to measure transient events of pollution. Sensors, 20 (8), [2219]. (doi:10.3390/s20082219).

Record type: Article

Abstract

Airborne particulate matter (PM) exposure has been identified as a key environmental risk factor, associated especially with diseases of the respiratory and cardiovascular system and with almost 9 million premature deaths per year. Low-cost optical sensors for PM measurement are desirable for monitoring exposure closer to the personal level and particularly suited for developing spatiotemporally dense city sensor networks. However, questions remain over the accuracy and reliability of the data they produce, particularly regarding the influence of environmental parameters such as humidity and temperature, and with varying PM sources and concentration profiles. In this study, eight units each of five different models of commercially available low-cost optical PM sensors (40 individual sensors in total) were tested under controlled laboratory conditions, against higher-grade instruments for: lower limit of detection, response time, responses to sharp pollution spikes lasting <1 min , and the impact of differing humidity and PM source. All sensors detected the spikes generated with a varied range of performances depending on the model and presenting different sensitivity mainly to sources of pollution and to size distributions with a lesser impact of humidity. The sensitivity to particle size distribution indicates that the sensors may provide additional information to PM mass concentrations. It is concluded that improved performance in field monitoring campaigns, including tracking sources of pollution, could be achieved by using a combination of some of the different models to take advantage of the additional information made available by their differential response

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Accepted/In Press date: 1 April 2020
Published date: 15 April 2020
Keywords: Air pollution, Laboratory study, Low-cost sensor, Particulate matter

Identifiers

Local EPrints ID: 439529
URI: http://eprints.soton.ac.uk/id/eprint/439529
ISSN: 1424-8220
PURE UUID: 7a6e4d99-a611-4b7d-901b-796c44dcaf64
ORCID for Steven Ossont: ORCID iD orcid.org/0000-0003-3864-7072
ORCID for Philip J Basford: ORCID iD orcid.org/0000-0001-6058-8270
ORCID for Gavin Foster: ORCID iD orcid.org/0000-0003-3688-9668
ORCID for Matthew Loxham: ORCID iD orcid.org/0000-0001-6459-538X

Catalogue record

Date deposited: 24 Apr 2020 16:45
Last modified: 09 Oct 2020 16:32

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Contributors

Author: Florentin Bulot
Author: Hugo Russell
Author: Mohsen Rezaei
Author: Matthew Johnson
Author: Steven Ossont ORCID iD
Author: Andrew Morris
Author: Natasha, Hazel Celeste Easton
Author: Gavin Foster ORCID iD
Author: Matthew Loxham ORCID iD
Author: Simon Cox

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