Similarity model for precipitation stations based on analysis of the single precipitation type histogram was proposed to study the similarity between the precipitation stations. Firstly, the precipitation item was extracted from the precipitation time series, the features of single rainfall were chosen and extracted after data preprocessing. Then, the data standardization was conducted on the feature vectors. Further more, the standardized feature data were clustered using K -means clustering method based on the Davies -Bouldin index cluster validity index. Finally, the clustering results were analyzed using the single precipitation type histogram similarity model. The experimental results show that the similarity for the stations in the related regions is consistent with the underlying fact, which verifies that the proposed model is of great value for water resources management.