%0 Dataset
%T GA-DBN model support dataset
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/8cef7d97-757f-4c30-8d66-962e8216b8a7
%W NCDC
%R 10.12072/ncdc.nhri.db6790.2025
%A Lu Minggui
%K Embankment leakage;machine learning
%X The model support dataset contains the following: the GA-DBN model code, the model parameter dataset, 193 groups of 8 levee leakage impact factors, the GA-DBN model training results, and 73 groups of 5 levee impact factors for Yangxin dry dike defense. Among them, the case data and training set data include six corresponding water level height difference/m, cover layer thickness/m, permeability coefficient, pore ratio, compression coefficient, and whether pipe surge occurs. The dataset combines the model implementation and training results to provide comprehensive support for embankment leakage prediction. By including the levee leakage influencing factors and the corresponding training data, the dataset can be used to analyze the influence of different factors on levee leakage and provide a strong basis for the optimization of levee leakage risk assessment and prediction models.