Multi-source data fusion improves 3D geological modeling in karst regions, highlighting hazard prevention and resource management.
Abstract Geological hazards such as uneven settlement of building foundations or roadbed collapses are prone to occur in karst regions. High-precision 3D geological modeling method can visually presents the spatial distribution and morphological characteristics of karst bodies. This study proposes a multi-data fusion methodology for 3D dynamic modeling of concealed karst features, centering on the integration of multi-source data. By comprehensively incorporating multi-dimensional information including surface remote sensing, subsurface geophysical surveys, geological sections, and boreholes, we constructed a high-precision 3D geological model of Fuyang karst cave area. The model effectively integrates diverse datasets such as borehole data, geophysical profiles, and planar geological maps, providing intuitive visualization of subsurface geological structures in karst areas, including caves, faults, and other features. This study offers scientific support for resource exploitation and hazard prevention in karst cave area.
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Dou et al. (2025) studied this question.
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