Due to the demand for energy shortage and environmental protection, many countries attach great importance to the construction of hydropower projects. For example, there are more than 6,000 dams over 30 meters high in China, such as the Three Gorges Dam. During the long-term operation of the reservoir, the periodic regulation of the reservoir water level significantly changes the hydrogeological environment of the bank slope. The reservoir area is usually a high-prone area of geological disasters. For example, more than 5,000 geological disasters have been reported in the Three Gorges Reservoir area in China. Under the influence of extreme climate and human engineering activities, the occurrence of geological disasters on the slopes of the reservoir bank is aggravated. It seriously threatens the safety of the lives and properties of residents in the reservoir area and the safety of shipping.
Quantitative risk analysis of geological disasters is an important method for disaster prevention and mitigation. It is one of the hotspots in geohazard research, which can accurately assess the risk level of a disaster and support managers to make decisions. Due to the complexity of the deformation and damage mechanism of reservoir geological disasters, there are still many difficulties in the quantitative analysis of reservoir geological disasters with different disaster types and spatiotemporal scales. In recent years, with the development and application of novel technologies such as geotechnical testing, earth observation, machine learning and numerical simulation, the quantitative risk analysis methods of reservoir geological disasters have made great progress.
The purpose of this special issue is to present the new progress in the quantitative risk analysis of reservoir geological disasters. This will enrich and improve the theory, technology and method of quantitative risk assessment of geological hazards. Potential topics include but are not limited to:
1. Deformation and failure mechanisms of reservoir geohazards;
2. Landslide identification using multi-source remote sensing data;
3. Landslide susceptibility and hazard mapping at different scales;
4. Landslide monitor and early warning system;
5. Elements investigation and risk mapping;
6. Analysis and simulation of landslide-tsunami hazard chain.
Due to the demand for energy shortage and environmental protection, many countries attach great importance to the construction of hydropower projects. For example, there are more than 6,000 dams over 30 meters high in China, such as the Three Gorges Dam. During the long-term operation of the reservoir, the periodic regulation of the reservoir water level significantly changes the hydrogeological environment of the bank slope. The reservoir area is usually a high-prone area of geological disasters. For example, more than 5,000 geological disasters have been reported in the Three Gorges Reservoir area in China. Under the influence of extreme climate and human engineering activities, the occurrence of geological disasters on the slopes of the reservoir bank is aggravated. It seriously threatens the safety of the lives and properties of residents in the reservoir area and the safety of shipping.
Quantitative risk analysis of geological disasters is an important method for disaster prevention and mitigation. It is one of the hotspots in geohazard research, which can accurately assess the risk level of a disaster and support managers to make decisions. Due to the complexity of the deformation and damage mechanism of reservoir geological disasters, there are still many difficulties in the quantitative analysis of reservoir geological disasters with different disaster types and spatiotemporal scales. In recent years, with the development and application of novel technologies such as geotechnical testing, earth observation, machine learning and numerical simulation, the quantitative risk analysis methods of reservoir geological disasters have made great progress.
The purpose of this special issue is to present the new progress in the quantitative risk analysis of reservoir geological disasters. This will enrich and improve the theory, technology and method of quantitative risk assessment of geological hazards. Potential topics include but are not limited to:
1. Deformation and failure mechanisms of reservoir geohazards;
2. Landslide identification using multi-source remote sensing data;
3. Landslide susceptibility and hazard mapping at different scales;
4. Landslide monitor and early warning system;
5. Elements investigation and risk mapping;
6. Analysis and simulation of landslide-tsunami hazard chain.
