%0 Dataset
%T Data set of five influencing factors: water level difference, cover thickness, permeability coefficient, pore ratio and compression coefficient of Yangxin dry dyke of Yangtze River
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/c6b101ae-8bae-46fb-b05f-c849d92f3373
%W NCDC
%R 10.12072/ncdc.nhri.db6793.2025
%A Lu Minggui
%K Embankment leakage;machine learning
%X The dataset contains 73 sets of sample data from the Yangxin dry dike section of the Yangtze River, which were analyzed by the gray correlation method to extract five key influencing factors: water level altitude difference, cover layer thickness, permeability coefficient, pore ratio, and compression coefficient. The data were analyzed to record the main factors affecting seepage of embankment, which provides an important basis for embankment safety assessment, flood control model construction, and training and validation of machine learning algorithms. The dataset can be widely used in the field of water conservancy engineering to promote the development of related research and practical applications.