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| PREVIOUS CODE | SEEN 6000L |
|---|---|
| DESCRIPTION | This course provides a comprehensive exploration of commonly used air quality models and their innovative applications in air quality management. It covers numerical air quality models and statistical modeling frameworks, with a focus on key techniques such as emission processing, meteorological modeling, dispersion modeling, photochemical air quality modeling and receptor models. The course highlights recent advancements in AI for air quality modeling and analysis. Through case studies, students can explore real-world applications such as air quality forecasting, pollution source identification, control strategy formulation, and health risk assessment. The course equips students with technical skills to address air pollution challenges and improve policy and public health outcomes. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6174) | We 09:00AM - 11:50AM | Rm 202, E1 | ZHENG, Junyu | 20 | 10 | 10 | 0 |