Low-cost monitoring of atmospheric PM—development and testing
Ambient particulate matter (PM) pollution is a significant problem in many urban and rural regions and has severe human health implications. Real-time, spatially dense monitoring using a network of low-cost sensors (LCS) was previously proposed as a way to alleviate the problem of PM. In this study,...
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Published in | Journal of environmental management Vol. 304; p. 114158 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
15.02.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Ambient particulate matter (PM) pollution is a significant problem in many urban and rural regions and has severe human health implications. Real-time, spatially dense monitoring using a network of low-cost sensors (LCS) was previously proposed as a way to alleviate the problem of PM. In this study, the performance of an LCS (Plantower PMS7003), a candidate for use in such a network, was investigated. The sensor was calibrated in a controlled climate chamber against a standard reference aerosol monitor. Reproducibility and calibration were evaluated in laboratory tests. Long-term, in-field performance was studied via deploying an LCS assembly at an environmental monitoring station. Results indicated excellent unit-to-unit consistency; however, each sensor needed to be calibrated individually as their characteristics varied slightly. Based on the results of a 15-month field test, quantitative and indicative LCS performance appeared promising: overall indicative accuracy was approximately 73–75% with comparable precision and recall. It is advised that the LCS are cleaned after 6–8 months of operation. Overall, the LCS appeared suitable for low-cost monitoring.
•Long-term, in-field testing of a low-cost atmospheric PM sensor.•Low-cost sensor can be suitably calibrated in a laboratory.•Results indicate good indicative monitoring performance.•Maintenance is required every 6–8 months. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0301-4797 1095-8630 |
DOI: | 10.1016/j.jenvman.2021.114158 |