Local integrated air quality predictions from meteorology (2015 to 2020) with machine and deep learning assisted by data mining
Overall air quality local indices can usefully be established by combining normalised values of common individual pollutant values. This reveals distinctive seasonal trends that are strongly influenced by local meteorological conditions. A newly compiled dataset for 2015 to 2020 covering Dallas Coun...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | Sustainability Analytics and Modeling |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667259621000023 |