This invention discloses a method for sub-basin delineation in small and medium-sized watersheds based on a distributed model, comprising the following steps: S1, collecting
digital elevation model (DEM) data, performing depression filling
processing, and extracting preliminary
river network information; S2, extracting the actual river
system and calculating the elevation difference of the main
stream grid; S3, adjusting the DEM data based on the elevation difference to optimize the
river network extraction results; S4, calculating
watershed morphological parameters and classifying the
watershed using a manifold learning method; S5, constructing an optimal threshold calculation model for sub-basins and dynamically adjusting the sub-basin delineation threshold; S6, performing flow direction calculation, confluence analysis, and sub-basin delineation, and optimizing the sub-basin boundaries; S7, validating the method using a distributed hydrological model, analyzing the
impact of the delineation results, and optimizing the sub-basin delineation parameters. This invention integrates multi-scale features, dynamic threshold optimization, and hydrological
network topology to improve the accuracy of sub-basin delineation, boundary continuity, and hydrological
simulation stability, achieving intelligent
watershed delineation.