Hydrological flow reorganizing intelligent model construction method based on machine learning

The invention relates to the technical field of hydrological reorganization water conservancy numerical simulation, in particular to a hydrological flow reorganization intelligent model construction method based on machine learning. The method comprises the following steps: acquiring hydrological data of a station; carrying out data missing value detection and filling on the site hydrological data to generate site hydrological filling data; performing data preprocessing on the site hydrological filling data to generate standard site hydrological data; obtaining an observation station position distribution map; main station screening is carried out through the standard station hydrological data and the observation station position distribution map, and main station observation station data are generated; performing river section test and erosion and deposition change analysis on the main station observation station data to generate main station erosion and deposition change data; according to the method, the A