The　effect　of　urban　green　spaces　on　traffic　noise　reduction　has　been　extensively　studied　at　the　level　of　single　vegetation,　hedges,　etc.,　but　there　is　a　lack　of　corresponding　studies　at　the　scale　of　spatial　patterns　of　urban　green　spaces.　Therefore,　this　study　aims　to　analyze　the　relationship　between　the　spatial　pattern　of　urban　green　space　and　the　change　in　green　space’s　noise　reduction　capacity.　Through　the　morphology　spatial　pattern　analysis　method,　this　analysis　divides　the　urban　green　space　in　the　Fuzhou　high-tech　zone　into　seven　types　of　elements　with　different　ecological　definitions　and　simulates　the　noise　condition　of　the　urban　environment　with　the　presence　of　green　space　as　well　as　without　the　presence　of　green　space　by　computer　simulation,　calculates　the　distribution　map　of　the　noise　reduction　produced　by　the　urban　green　space,　and　analyzes　the　correlation　between　the　seven　types　of　green　space　elements　and　the　noise　reduction　with　the　geographically　weighted　regression　modeling　analysis.　The　study　finds　that　(1)　Urban　green　space　patterns　can　significantly　affect　the　net　noise　reduction　of　green　space.　Areas　with　high　green　coverage　can　produce　a　stronger　green　space　noise　reduction　effect.　(2)　More　complex　green　space　shapes　and　more　fragmented　urban　green　space　can　produce　higher　noise　reduction.　(3)　The　green　space　close　to　the　source　of　noise　can　exert　a　stronger　noise　reduction　effect.　Therefore,　in　the　process　of　planning　and　design,　from　the　perspective　of　improving　the　urban　acoustic　environment,　the　configuration　of　high-quality　green　spaces　in　areas　with　higher　levels　of　noise　pollution　should　be　given　priority,　which　may　have　better　noise　reduction　effects.　©　2024　by　the　authors.