Detection of PM<inf>2.5</inf> plume movement from IoT ground level monitoring data
© 2019 Elsevier Ltd In this study, we analysed a data set from 10 low-cost PM2.5 sensors using the Internet of Things (IoT) for air quality monitoring in Mae Sot, which is one of the most vulnerable areas for high PM2.5 concentration in Thailand, during the 2018 burning season. Our objectives were t...
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/50903 |
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| Institution: | Mahidol University |