Abstract: To address the difficulty in identifying concealed hazards contributing to water inrush from coal seam floor, and to enhance the level of water hazard prevention and control in coal mines, this paper proposes a multi-attribute geological modeling method based on multiple geological factors. Firstly, the characteristics and coupled disaster-causing mechanisms of static primary concealed water-conducting geological factors and dynamic mining-induced concealed water-conducting geological factors in coal seam floor water inrush are analyzed. Secondly, three types of geological exploration data, including geophysical exploration, drilling exploration, and mining and excavation exposure, are sorted out and their data characteristics and application values are analyzed. Finally, the DE-Kriging coupled interpolation algorithm is proposed to construct a high-precision basic geometric geological model, and further integrate multiple geological factors to build a multi-attribute geological model that can represent static and dynamic information. Taking the 61304 working face of a coal mine in Erdos as an application example, a multi-attribute geological model was constructed based on monitoring data such as seismic data during mining. Two potential water-conducting anomaly zones, SYC1 and SYC2, were identified ahead of the working face. The spatial distribution range of the anomaly zones and their impact depth on the floor were clarified, and the risk of water inrush from the floor was predicted. The constructed multi-attribute geological model can effectively integrate various concealed hazard-causing factors, providing crucial support for calculating the vulnerability index of water inrush from coal seam floor before mining and the effective thickness of water-resisting layer during mining.