Abstract
Particulate matter based pollution has a health impact on ‘at-risk’ individuals requiring monitoring to reduce and inform the population of exposure. These ‘at-risk’ individuals are those with respiratory and pulmonary illnesses. Currently pollution is monitored by High-Cost pollution sensors (HCPS) which can be deployed in limited fashion due to expense. A low-cost alternative can be used to provide greater sensor density for the same budget there-by better informing the ‘at-risk’ population. This study compares the accuracy of low-cost particulate matter sensors as an alternative to a HCPS that are generally used for this purpose. In our evaluation a low-cost sensor was co-located with a HCPS for a period of one month. Data was collected from both sensors in order to enable a comparison. Raw data comparison showed that readings generated from our low-cost sensor fell within the same Air Quality Index (AQI) banding as data from the HCPS. Although the data produced by the low-cost sensor is functionally accurate (classification of pollution within the AQI bands), accuracy could be improved using an algorithmic calibration curve. This could allow for many low-cost systems to be deployed across a wider geographical city area, improving coverage. Helping in-forming the general public of risks and measure to reduce exposure.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) |
Editors | José Bravo, Sergio Ochoa, Jesús Favela |
Pages | 654-666 |
Number of pages | 13 |
ISBN (Electronic) | 978-3-031-21333-5 |
DOIs | |
Publication status | Published online - 21 Nov 2022 |
Event | 14th International Conference on Ubiquitous Computing and Ambient Intelligence - HOTEL HESPERIA CÓRDOBA Av. Fray Albino Córdoba, Cordoba, Spain Duration: 29 Nov 2022 → 2 Dec 2022 https://www.ucami.org/index.html |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 594 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 14th International Conference on Ubiquitous Computing and Ambient Intelligence |
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Abbreviated title | UCAml |
Country/Territory | Spain |
City | Cordoba |
Period | 29/11/22 → 2/12/22 |
Internet address |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Low-Cost
- Sensors
- air pollution
- particulate matter
- Calibration
- Low-cost
- Particulate matter
- Air pollution
- Sensor