Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms
Abstract A source apportionment (SA) study was conducted on two PM2.5 data sets, two carbon fractions and eight temperature-resolved carbon fractions collected during Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS). This study aimed to evaluate two clustering algorithms: k-means cluste...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-01-01
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| Series: | Aerosol and Air Quality Research |
| Subjects: | |
| Online Access: | https://doi.org/10.4209/aaqr.210240 |
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