A5073805682- Landslides and related hazards
- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Hydrology and Sediment Transport Processes
- Fire effects on ecosystems
- Tree Root and Stability Studies
- Soil and Unsaturated Flow
- Hydrology and Drought Analysis
- Climate change and permafrost
- Rock Mechanics and Modeling
- Geotechnical Engineering and Analysis
- Hydrology and Watershed Management Studies
- Stroke Rehabilitation and Recovery
- Climate change impacts on agriculture
- Facility Location and Emergency Management
- Climate variability and models
- Real-time simulation and control systems
- Nasal Surgery and Airway Studies
- Yersinia bacterium, plague, ectoparasites research
- Remote Sensing and Land Use
- Coastal and Marine Dynamics
- Geological formations and processes
- Hydrological Forecasting Using AI
- Evacuation and Crowd Dynamics
- Soil erosion and sediment transport
Institute of Mountain Hazards and Environment
2019-2024
Chinese Academy of Sciences
2019-2024
University of Chinese Academy of Sciences
2019-2023
Daqing City People's Hospital
2020
Ocean University of China
2006
Bangladesh experiences frequent hydro-climatic disasters such as flooding. These are believed to be associated with land use changes and climate variability. However, identifying the factors that lead flooding is challenging. This study mapped flood susceptibility in northeast region of using Bayesian regularization back propagation (BRBP) neural network, classification regression trees (CART), a statistical model (STM) evidence belief function (EBF), their ensemble models (EMs) for three...
This work developed models to identify optimal spatial distribution of emergency evacuation centers (EECs) such as schools, colleges, hospitals, and fire stations improve flood planning in the Sylhet region northeastern Bangladesh. The use location-allocation (LAMs) for regard victims is essential minimize disaster risk. In first step, susceptibility maps were using machine learning (MLMs), including: Levenberg–Marquardt back propagation (LM-BP) neural network decision trees (DT)...
The catastrophic rockslide, which frequently triggers numerous severe disasters worldwide, has drawn much attention globally; however, understanding the initiation mechanism of rockslides in absence typical single triggering factors related to strong seismic activity or torrential precipitation continues be challenging within global scientific community. This study aims determine three largest eastern Tibetan Plateau, Yigong, Xinmo, and Baige, over past 20 years using field investigation,...
Low-frequency debris flows often lead to severe disasters due large energy releases and strong concealment. However, the understanding of formation conditions, movement processes, disaster-causing mechanisms low-frequency flow is still limited, especially regarding occurrences within catchment (>50 km2). This study presents a typical case large-scale, occurring in Heishui (102.65 km2), Pingwu County, China. The process, disaster characteristics, causes were analyzed detail through field...
Low-frequency debris flows are characterized by strong concealment, high potential danger, and difficulty achieving an early warning; hence identification of low-frequency flow gullies is crucial to mitigation. Here, system for along the traffic arteries in Chuanxi Plateau proposed based on stability calculation colluvium deposits a hollow region (CDH) quantitative roundness analysis stones deposit fan. At first, watershed without fan, CDH identified analyzed using geomorphologic change...
Abstract Unlike strong earthquake-triggered or heavy rainfall-triggered landslides, silent large-scale landslides (SLL) occur without significant triggering factors and cause unexpected disaster risks mass casualties. Understanding the initiation mechanism of SLLs is crucial for risk reduction. In this study, Zhaobishan SLL was investigated, jointly controlled by weak-soil (fractured rock mass) strong-water (abundant water replenishment) conditions under impact active tectonism complex...