Abstract: At the urban scale, few studies have linked urban green space and urban environmental noise alone, since the influence mechanism of urban green space and buildings on urban environmental noise is unclear. This research attempts to improve the net attenuation increment of urban green space to regional environmental noise by promoting the optimization of indicators related to the urban green space form. It takes Wuchang District of Wuhan City as an example, and divides the target area with 600 m side length grid as the basic unit. It calculates the net noise attenuation in each unit and the key indicator data related to the urban green space form by means of acoustic simulation and correction, spatial analysis and statistics. Firstly, it carries out the global Pearson correlation analysis and constructs the ordinary least square (OLS) linear regression model and geographically weighted regression (GWR) model. Then, it deeply analyzes the noise reduction law of five key indicators of urban green space form, such as mean proximity index (MPI), effective mesh size (MESH), mean shape index (MSI), mean patch area (MPA) and class area (CA). The results show that: 1) The correlation coefficient between the indicators of green space form and the net noise attenuation shows a trend of first increasing and then decreasing and the correlation coefficient between the CA and MPA reaches the maximum when the buffer radius is 300 m; 2) All key indicators of urban green space form have a significant positive incremental effect on net noise attenuation; 3) The clustering characteristics of high green coverage and high noise reduction ability are basically consistent, and the noise reduction effect of each green space form indicator has spatial instability and obvious regional distribution characteristics. This research finds that prioritizing the elevation of green coverage remains the most effective method to improve the regional acoustic environment. Other key indicators of green space form screened by this research system can also be used as the basis for formulating flexible and rigid green space planning and control strategies.