A method and system for evaluating rainfall erosivity in karst mountainous areas
By modeling with UAV imagery data and real-time hydrological monitoring, rain cluster structure and surface coupling index were constructed, solving the problem of detail in rainfall erosion assessment in karst mountainous areas and enabling detailed identification and state differentiation of erosive forces.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for analyzing rainfall erosion in karst mountainous areas fail to effectively reflect surface structure, water flow switching paths, and rainfall timing characteristics. They are difficult to identify differences in erosion response in different regions and lack characterization of intraday peak jumps and duration variations in erosive rainfall, resulting in insufficiently detailed assessments.
By constructing surface point clouds using UAV orthophotos, generating digital elevation models, dividing assessment units, and collecting real-time hydrological time-series data, we constructed rain cluster concentration structure indices and soil-rock discontinuity coupling indices, and combined these with sink-infiltration switching indices to assess the comprehensive erosion driving value.
It enables a detailed assessment of rainfall erosivity in karst mountainous areas, identifying the temporal distribution characteristics of rainfall and the impact on surface structure, distinguishing between erosion accumulation and erosion destruction states, and providing more accurate assessment results.
Smart Images
Figure CN122414036A_ABST