Application of Artificial Intelligence Models for Aeolian Dust Prediction at Different Temporal Scales: A Case with Limited Climatic Data
Accurately predicting ambient dust plays a crucial role in air quality management and hazard mitigation. Dust emission is a complex, non-linear response to several climatic variables. This study explores the accuracy of Artificial Intelligence (AI) models: an adaptive-network-based fuzzy inference s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | AI |
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| Online Access: | https://www.mdpi.com/2673-2688/3/3/41 |