“…In recent years, a new generation of data analytical approaches represented by deep learning [19] is being adopted in many areas [20][21][22][23][24][25][26][27][28][29][30]. At the same time, some models in deep learning, because of their unique structure, can conduct linkage analysis on the temporal and spatial correlation of air pollutant distribution and diffusion [31], and then dynamically predict urban air pollutant concentrations.…”