Summary
This study focuses on five provinces and regions in southern China, where complex geological structures, frequent rainfall, seismic activity, and fragile environmental conditions collectively contribute to high susceptibility to geohazards, including landslides, debris flows, and rockfalls. To support disaster mitigation efforts for China Southern Power Grid, we compiled over 50,000 grid-related geohazard events recorded over the past two decades, supplemented by historical inventories from field investigations conducted by local natural resources authorities. Using twelve conditioning factors and the Random Forest algorithm, we developed a geohazard susceptibility model and generated a corresponding susceptibility map.
Read more Read lessThe resulting susceptibility probabilities ranged from 0.0387 to 0.8705, with high-probability zones exhibiting strong spatial correspondence with documented historical events. Elevation was identified as the most influential factor controlling susceptibility. Susceptibility was classified into four zones using the natural breaks method in GIS: high (29,568 sites, 51.18%, point density 0.2112 sites/km²), medium (14,629 sites, 25.32%, density 0.0740 sites/km²), low
(9,661 sites, 16.72%, density 0.0350 sites/km²), and non-susceptible (3,909 sites, 6.77%, density 0.0098 sites/km²). Notably, the point density in high-susceptibility zones was approximately 20 times that in non-susceptible zones, corroborating the predictive accuracy of the model. This study elucidates the spatial patterns of geohazard susceptibility in the southern provinces and provides a technical foundation for optimizing geohazard mitigation strategies and infrastructure maintenance for China Southern Power Grid.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B2_11590_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | China, People's Republic of |
| Study committees | |
| File size | 1 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
ZHANG Zhiqiang - China Southern Power Grid Co.,Ltd.; GONG Bo - China Southern Power Grid Co.,Ltd.; FAN Lingmeng - China Southern Power Grid Co.,Ltd.; ZHU Dengjie - China Southern Power Grid Co.,Ltd.
Keywords
Power Grid Engineering; Geological Hazards; Risk Assessment; Random Forest Model
