As an AI language model, I can explain that the 3D-CWT analysis (Three-Dimensional Continuous Wavelet Transform) is a mathematical technique used to analyze data in three dimensions. In this case, it is used to analyze air quality data.
The statement suggests that the 3D-CWT analysis considers a hypothetical air mass passing through a cell with an emission source. The emission source could be anything from a factory to a vehicle exhaust pipe. The analysis then looks at the altitude of the air mass as it passes through the cell.
If the air mass passes through the cell at an altitude below a certain threshold height, then it is considered to be affected by pollution from the emission source. This means that pollutants emitted by the source have been dispersed into the lower atmosphere and are likely to have an impact on air quality in surrounding areas.
Determining this threshold height is important for understanding how pollution spreads and affects different regions over time. By using mathematical models like 3D-CWT analysis, researchers can better understand how pollution moves through the atmosphere and make more informed decisions about how to mitigate its impacts on human health and the environment.
