Urban　noise　has　become　a　significant　concern　for　public　health　and　well-being,　prompting　growing　interest　in　understanding　its　spatial　patterns　and　drivers.　In　the　context　of　quiet　city　development,　this　study　investigates　whether　the　morphology　of　urban　green　spaces　influences　noise　propagation　and　noise　complaint　distribution.　Taking　Fuzhou　City,　China,　as　a　case　study,　we　investigated　the　spatial　distribution　characteristics　of　green　space　form　metrics　and　noise　complaints.　Subsequently,　we　employed　Spearman　correlation　analysis　and　the　Multiscale　Geographically　Weighted　Regression　(MGWR)　model　to　explore　their　spatiotemporal　associations.　Results　show　that:　(1)　Noise　complaint　hotspots　are　concentrated　in　high-traffic　commercial　zones,　dense　residential　areas,　and　construction　sites;　(2)　Key　green　space　indicators　influencing　complaint　patterns　include　the　Number　of　Patches　(NP)　and　Patch　Density　(PD);　(3)　Mean　Patch　Area　(MPA)　and　Radius　of　Gyration　(MRG)　contribute　to　temporal　differences,　with　more　aggregated　green　spaces　showing　stronger　noise　buffering　effects.　These　findings　highlight　the　critical　role　of　green　space　configuration　in　urban　acoustic　environments　and　provide　a　scientific　basis　for　improving　green　space　planning　and　noise　control　strategies　in　support　of　healthy　and　livable　cities.