一种基于多源降雨数据融合和三维阈值的滑坡预警方法
By using multi-source rainfall data fusion and a three-dimensional threshold early warning method, the problem of insufficient fusion accuracy and adaptability in existing landslide early warning technologies has been solved, enabling efficient response and accurate early warning for different disaster-causing conditions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CENT SOUTH UNIV
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing landslide early warning technologies suffer from problems such as poor accuracy of multi-source rainfall fusion, distortion of physical representation of previous rainfall, poor adaptability of single threshold models, and lack of hourly dynamic rolling early warning, resulting in low early warning efficiency and accuracy.
An early warning method based on multi-source rainfall data fusion and three-dimensional thresholds is adopted. By robustly fusing satellite remote sensing rainfall data with ground meteorological station measured data and combining historical reliability evaluation indicators for spatial residual correction, a three-dimensional rainfall threshold model adapted to different disaster-causing conditions is constructed. Based on the rainfall feature variables extracted in real time, adaptive diagnosis and dynamic comparison are performed to output graded early warning signals.
It improves the real-time reconstruction accuracy of rainfall fields in complex mountainous areas, reduces false alarms after extreme rainstorms, enhances adaptability to different disaster-causing conditions and the physical rationality of early warnings, and achieves efficient response to long-term cumulative and short-term sudden conditions.
Smart Images
Figure CN122176904B_ABST