Potential Source Density Function: A New Tool for Identifying Air Pollution Sources
Abstract Potential source density function (PSDF) is developed to identify, that is, locate and quantify, source areas of ambient trace species based on Gaussian process regression (GPR), a machine-learning technique. The PSDF model requires backward trajectories and sampling data at a receptor site...
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Main Authors: | In Sun Kim, Yong Pyo Kim, Daehyun Wee |
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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.210236 |
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