%0 Dataset
%T 193 datasets of 8 impact factors for certain sections of dykes such as Huangdang Dyke of the Yangtze River and Anqing Yangtze River Dry Dyke
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/552f4653-b5cd-41e0-a92a-59e074f43639
%W NCDC
%R 10.12072/ncdc.nhri.db6792.2025
%A Lu Minggui
%K Embankment leakage;machine learning
%X This dataset contains 193 sets of sample data from several embankment sections, including Huangdaodi embankment of the Yangtze River and Anqing Yangtze River dry embankment, covering eight key influence factors, including water level height difference, cover thickness, permeability coefficient, effective cohesion, effective angle of internal friction, dry density, pore ratio and compression coefficient. This dataset has significant advantages in terms of influence factors in data diversity, providing higher resolution and reliability. This dataset is widely used in embankment safety assessment, flood control model construction and the training and validation of machine learning algorithms, which helps the scientific and refined management of flood control and disaster prevention, and promotes the development of research and application in the field of water conservancy engineering.