*2.6. Statistic Analysis Model*

The Pearson bivariate correlation analysis was used to filtrate the Sensitive Morphological Parameters (SMPs) with a high correlation to PM2.5 and wind speed. To avoid the effect of excessive differences in the morphology of different neighborhoods, a correlation analysis was used between the GCR (A) in Neighborhood A and the GCR (B) in Neighborhood B separately.

The Curvilinear Regression was used to estimate the influence pattern of SMPs with PM2.5 and wind speed. SMPs in 20 calculation units are used as independent variables, and the simulation results of the *CRp* and *VRw* at 1.5 m height are used as dependent variables.

#### **3. Results**

#### *3.1. Monitoring Results*

Field monitoring is shown in Figure 6. Overall, trends in pollutant concentrations within neighborhoods are influenced by overall urban background concentrations, and the two neighborhoods are relatively close but again show part of the local variability.

**Figure 6.** Monitoring data: (**a**) PM2.5 monitoring data; (**b**) wind speed monitoring data.
