High-resolution　seafloor　topography　is　important　in　scientific　research　and　marine　engineering　in　regard　to　marine　resource　development　and　environmental　protection　monitoring.　In　this　study,　multi-dimensional　comparisons　were　made　between　GEBCO_2022,　SRTM15_V2.5.5,　SRTM30_PLUS,　SYNBATH_V1.0,　ETOPO_2022,　and　topo_25.1　in　the　South　China　Sea　and　surrounding　waters　(SCS).　This　study　has　found　that　ETOPO_2022　had　the　best　overall　accuracy　and　reliability.　Based　on　the　results　of　the　model　accuracy　analysis　and　by　considering　the　topographic　slope,　ETOPO_2022,　GEBCO_2022,　and　SRTM15_V2.5.5　were　weighted　and　fused　to　form　a　fusion　model.　The　error　of　the　fusion　model　was　94.80%　concentrated　in　(-　100-100　m).　When　compared　with　GEBCO_2022,　SRTM15_V2.5.5,　SRTM30_PLUS,　SYNBATH_V1.0,　ETOPO_2022,　and　topo_25.1,　the　RMSE　was　reduced　by　2%,　9%,　62%,　15%,　1%,　and　73%,　respectively.　The　slope-based　weighted　fusion　method　has　been　shown　that　it　can　overcome　the　limitations　of　a　single　data　source　and　provide　a　reference　for　timely　reconstruction　and　updating　of　large-scale　seafloor　topography.