The invention relates to a rapid parallelization method of a totally-distributed type watershed eco-hydrology model. The method is that grids serve as basic computing units, through the digital elevation model (DEM) terrain analysis, a watershed grid flow diagram is obtained and the computing dependency relationships of the grids are established, eco-hydrology process simulations of the vertical direction of the grid units serve as independent computing tasks, the grid unit computing tasks are decoupled according to the dependency relationships among the grid units, a task tree is constructed, a data bank available group (DAG) model is adopted to express the task tree, a task scheduling sequence is generated dynamically by utilization of the DAG model and the marginal elimination dynamic scheduling algorithm, the grid computing tasks are distributed to different nodes to compute through a portable batch system (PBS) dynamic scheduler, and parallelization of the totally-distributed type watershed eco-hydrology model is achieved. The rapid parallelization method of the totally-distributed type watershed eco-hydrology model has the advantages that operation is easy, practicability is strong, parallel logic control of the parallelization processing algorithm is greatly simplified, the parallel computing efficiency is effectively improved, and the parallel stability is improved.