Machine learning algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters
This study uses machine learning (ML) models for a high-resolution prediction (0.1°×0.1°) of air fine particular matter (PM2.5) concentration, the most harmful to human health, from meteorological and soil data. Iraq was considered the study area to implement the method. Different lags and the chang...
| Published in: | Environment International |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2023
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153537218&doi=10.1016%2fj.envint.2023.107931&partnerID=40&md5=91f7aa5b1ffbb13a2eae2389f70ff7ea |