Towards comprehensive air quality management using low-cost sensors for pollution source apportionment
Abstract Successful air quality management and control not only requires measurements of air pollution levels. It also requires information on the sources of air pollution, and their relative magnitudes and importance, to plan and enact cost-effective control measures. This paper provides an importa...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-08-01
|
| Series: | npj Climate and Atmospheric Science |
| Online Access: | https://doi.org/10.1038/s41612-023-00424-0 |
| _version_ | 1797577175683039232 |
|---|---|
| author | Dimitrios Bousiotis Gordon Allison David C. S. Beddows Roy M. Harrison Francis D. Pope |
| author_facet | Dimitrios Bousiotis Gordon Allison David C. S. Beddows Roy M. Harrison Francis D. Pope |
| author_sort | Dimitrios Bousiotis |
| collection | DOAJ |
| description | Abstract Successful air quality management and control not only requires measurements of air pollution levels. It also requires information on the sources of air pollution, and their relative magnitudes and importance, to plan and enact cost-effective control measures. This paper provides an important breakthrough towards the wider and more comprehensive use of source apportionment via low-cost techniques. Low-cost sensor measurements, along with the statistical methods of Positive Matrix Factorization (PMF) and k-means clustering, were able to successfully pinpoint and quantify the main sources of pollution in three regulatory important sites (a construction site, a quarry and a roadside). The anticipated levels of pollution, which were dependent on meteorological conditions and temporal variations, were assessed. The analysis provides information crucial for successful air quality management and control at a significantly lower cost than previously achieved. The strengths and weaknesses of the methodologies used are illustrated and discussed. |
| first_indexed | 2024-03-10T22:04:17Z |
| format | Article |
| id | doaj.art-641b77d079004ed4a8440c37425666ec |
| institution | Directory Open Access Journal |
| issn | 2397-3722 |
| language | English |
| last_indexed | 2024-03-10T22:04:17Z |
| publishDate | 2023-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Climate and Atmospheric Science |
| spelling | doaj.art-641b77d079004ed4a8440c37425666ec2023-11-19T12:50:53ZengNature Portfolionpj Climate and Atmospheric Science2397-37222023-08-016111010.1038/s41612-023-00424-0Towards comprehensive air quality management using low-cost sensors for pollution source apportionmentDimitrios Bousiotis0Gordon Allison1David C. S. Beddows2Roy M. Harrison3Francis D. Pope4School of Geography, Earth and Environmental Sciences, University of Birmingham, EdgbastonDustScanAQSchool of Geography, Earth and Environmental Sciences, University of Birmingham, EdgbastonSchool of Geography, Earth and Environmental Sciences, University of Birmingham, EdgbastonSchool of Geography, Earth and Environmental Sciences, University of Birmingham, EdgbastonAbstract Successful air quality management and control not only requires measurements of air pollution levels. It also requires information on the sources of air pollution, and their relative magnitudes and importance, to plan and enact cost-effective control measures. This paper provides an important breakthrough towards the wider and more comprehensive use of source apportionment via low-cost techniques. Low-cost sensor measurements, along with the statistical methods of Positive Matrix Factorization (PMF) and k-means clustering, were able to successfully pinpoint and quantify the main sources of pollution in three regulatory important sites (a construction site, a quarry and a roadside). The anticipated levels of pollution, which were dependent on meteorological conditions and temporal variations, were assessed. The analysis provides information crucial for successful air quality management and control at a significantly lower cost than previously achieved. The strengths and weaknesses of the methodologies used are illustrated and discussed.https://doi.org/10.1038/s41612-023-00424-0 |
| spellingShingle | Dimitrios Bousiotis Gordon Allison David C. S. Beddows Roy M. Harrison Francis D. Pope Towards comprehensive air quality management using low-cost sensors for pollution source apportionment npj Climate and Atmospheric Science |
| title | Towards comprehensive air quality management using low-cost sensors for pollution source apportionment |
| title_full | Towards comprehensive air quality management using low-cost sensors for pollution source apportionment |
| title_fullStr | Towards comprehensive air quality management using low-cost sensors for pollution source apportionment |
| title_full_unstemmed | Towards comprehensive air quality management using low-cost sensors for pollution source apportionment |
| title_short | Towards comprehensive air quality management using low-cost sensors for pollution source apportionment |
| title_sort | towards comprehensive air quality management using low cost sensors for pollution source apportionment |
| url | https://doi.org/10.1038/s41612-023-00424-0 |
| work_keys_str_mv | AT dimitriosbousiotis towardscomprehensiveairqualitymanagementusinglowcostsensorsforpollutionsourceapportionment AT gordonallison towardscomprehensiveairqualitymanagementusinglowcostsensorsforpollutionsourceapportionment AT davidcsbeddows towardscomprehensiveairqualitymanagementusinglowcostsensorsforpollutionsourceapportionment AT roymharrison towardscomprehensiveairqualitymanagementusinglowcostsensorsforpollutionsourceapportionment AT francisdpope towardscomprehensiveairqualitymanagementusinglowcostsensorsforpollutionsourceapportionment |