###### Abstract  
The development and utilization of urban underground space represents a crucial strategy for achieving sustainable urban development. Three-dimensional (3D) geological models provide a data foundation and technical support for research in urban planning and construction, as well as the prevention and control of environmental geological issues. However, current urban 3D geological modeling generally faces the challenge of multi-source heterogeneous modeling data. This often necessitates varying degrees of generalization in data processing, resulting in the majority of current urban 3D geological models being relatively coarse and insufficient to fulfill the demand for detailed geological information in contemporary urban development and management. Therefore, determining how to formulate or optimize the 3D geological modeling schemes to enhance the utilization of multi-source heterogeneous data is a key challenge in current urban 3D geological modeling. This study, taking the 3D geological structure modeling of Wuhan's metropolitan development area (MDA) as an example, develops an automated scheme for standardizing modeling data based on multi-scale geological chronostriography. By utilizing the standardized stratigraphy as a unified and independent geological framework for layered modeling, a high-precision 3D geological model of Wuhan's MDA, characterized by  
disasters are becoming increasingly concealed and complex [6; 7; 8; 9]. Thus, systematically studying environmental geological problems faced by cities, especially megacities, represents an urgent challenge in urban geology [10; 11; 12; 13]. This requires, firstly, precise geological data as a foundation for research [14; 15; 16; 17; 18] and, secondly, a technical platform capable of integrating various professional simulation and analysis methods as support [19; 20; 21; 22; 23]. Three-dimensional (3D) geological modeling offers an ideal solution [24; 25], with its accuracy primarily dependent on the modeling data [26; 27], modeling methods [28; 29], and complexity of the modeling target [30; 31].  
Therefore, 3D urban geological modeling, especially high-precision 3D geological modeling for megacities, is often a highly complex task [32; 33]. It typically involves varying levels of generalization, which encompasses generalization of modeling data [34] and geological information [35]. The former aims to retain important macroscopic, regular, or structural geological information while ignoring secondary geological information that is difficult to analyze uniformly. This ensures the modeling data meets the requirements of specific modeling software or schemes [36]. The latter involves generalizing some local geological information, such as lenticular bodies, interbeds, and secondary faults, to reduce the complexity of the modeling objects. This ensures the entire modeling process can be successfully completed under practical constraints like modeling data, computing power, and modeling schemes [37]. As a result, large-scale 3D urban geological models currently tend to have low precision, and are unable to meet the needs of urban planning, construction, and management for detailed geological information [38]. Especially in China, where most cities have complex geological backgrounds, modeling data are relatively scarce and face multi-source and heterogeneous issues [39; 40; 41]. This makes it difficult for 3D geological models to support the demand for detailed geological information in urban construction and development.  
Thus, determining how to conduct large-scale, high-precision 3D urban geological modeling without generalizing multi-source and heterogeneous geological data and modeling objects is a difficult and urgent problem [42; 43]. This study takes the 3D geological structure modeling of Wuhan's metropolitan development area (MDA) as an example, exploring how to utilize multi-source heterogeneous geological data to construct high-precision 3D geological structure models for megacities with super-complex geological conditions.