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In order to identify the different effects of influencing factors on air quality index (AQI) between lower-AQI and higher-AQWe urban centers, this study is applicable a spatial quantile regression design (SQRM) to research heterogeneity of influential facets on AQI, while accounting for spatial autocorrelation of AQI. The outcomes show that heterogeneity effects of windspeed, landscapes slope, urbanization sprawl and spatial autocorrelation on AQI are large across the entir