A5062746178- Landslides and related hazards
- Dam Engineering and Safety
- Cryospheric studies and observations
- Flood Risk Assessment and Management
- Rock Mechanics and Modeling
- Hydrology and Sediment Transport Processes
- Soil and Unsaturated Flow
- Fire effects on ecosystems
- Microstructure and mechanical properties
- Hydrology and Watershed Management Studies
- Geotechnical Engineering and Analysis
- Structural Behavior of Reinforced Concrete
- Remote-Sensing Image Classification
- Fluid Dynamics Simulations and Interactions
- Innovative concrete reinforcement materials
- Infrastructure Maintenance and Monitoring
- Geotechnical Engineering and Underground Structures
- Anomaly Detection Techniques and Applications
- Gait Recognition and Analysis
- Granular flow and fluidized beds
- Model Reduction and Neural Networks
- Soil erosion and sediment transport
- Remote Sensing and Land Use
- Metal and Thin Film Mechanics
- Nonlocal and gradient elasticity in micro/nano structures
Institute of Mountain Hazards and Environment
2016-2025
Chinese Academy of Sciences
2016-2025
University of Chinese Academy of Sciences
2017-2024
Institute of Modern Physics
2024
Chongqing Jiaotong University
2023
Center for Excellence in Tibetan Plateau Earth Sciences
2017-2020
Chengdu University of Technology
2012-2019
Huazhong University of Science and Technology
2008-2010
Iowa Department of Transportation
1996
University of Illinois Urbana-Champaign
1996
During the summer of 2020, southern China suffered from catastrophic flooding, massive basin flood mainly occurred in Yangtze River's middle and lower reaches. As July 20, cumulative precipitation since rain season started exceeded 500 mm over most River Basin, reaching >1,200 some areas reaches, exceeding same period 1998, severest year past 60 years. Several water gauge stations at Poyang Lake Chaohu their historical record values. The levels Wuhan section were among highest ever recorded....
As a discipline, the science of natural hazards and disaster risk aims to explain spatial-temporal pattern, process mechanism, emergency response mitigation hazards, which requires multidisciplinary interdisciplinary approach. With support Natural Science Finance China (NSFC) Chinese Academy Sciences (CAS), in-depth research systematic analysis on were conducted. In this paper, state art in is summarized from seven aspects: formation process, mechanism dynamic assessment, forecast,...
Abstract In this work, we present the CAS Landslide Dataset, a large-scale and multisensor dataset for deep learning-based landslide detection, developed by Artificial Intelligence Group at Institute of Mountain Hazards Environment, Chinese Academy Sciences (CAS). The aims to address challenges encountered in recognition. With increase occurrences due climate change earthquakes, there is growing need precise comprehensive support fast efficient contrast existing datasets with size, coverage,...
Large-scale hydrodynamic models generally rely on fixed-resolution spatial grids and model parameters as well incurring a high computational cost. This limits their ability to accurately forecast flood crests issue time-critical hazard warnings. In this work, we build fast, stable, accurate, resolution-invariant, geometry-adaptive modeling forecasting framework that can perform at large scales, namely FloodCast. The comprises two main modules: multi-satellite observation modeling. the...
Coupled shallow water equations integrated with sediment transport and morphological evolution are presented in this paper. The momentum exchange terms that originated from the interaction between flow sediment, which were ignored by several researchers, taken into account. time space second-order, MacCormack total variation diminishing (TVD) finite difference method is used to solve these equations. A series of numerical simulations compared laboratory dam-break experiments carried out....
Catastrophic debris flows are common after large earthquakes and pose a significant risk for recovering communities. The depositional volume of these is often much greater than the initiation volume, suggesting that bulking flow plays an important role in determining their speed, runout distance. Observations from recent have driven progress understanding relationship between triggering rainfall events timing post-earthquake flows. However, we lack adequate mechanism quantifying applying it...
Lagrangian particle-based smoothed particle hydrodynamics (SPH) is increasingly widely used in landslide modelling. This paper investigates four important issues not addressed by previous studies on SPH modelling of large-scale landslides, i.e., convergence property, influence constitutive parameters, scale effect and friction reduction, different treatments the viscous effect. The GPU-acceleration technique employed to achieve high-resolution three-dimensional (3D) Baige investigated...
Abstract Wildfires are becoming a global natural disaster under climate change. A worthwhile concern is that the rainfall thresholds trigger debris flows in catchments affected by recent wildfires much lower than those with similar environments but have not experienced wildfires. In this study, we investigated major post‐fire flow event Xiangjiao catchment triggered heavy 2021. Through combination of field observation, laboratory experiments and several numerical models (rainfall...
Change detection (CD) by comparing two bi-temporal images is a crucial task in remote sensing. With the advantages of requiring no cumbersome labeled change information, unsupervised CD has attracted extensive attention community. However, existing approaches rarely consider seasonal and style differences incurred illumination atmospheric conditions multi-temporal images. To this end, we propose with domain shift setting for sensing Furthermore, present novel method using light-weight...
Abstract Hydrologically‐induced landslides are ubiquitous natural hazards in the Himalayas, posing severe threat to human life and infrastructure. Yet, landslide assessment Himalayas is extremely challenging partly due complex drastically changing climate conditions. Here we establish a mechanistic hydromechanical modeling framework that incorporates impacts of key water fluxes stocks on triggering risk evolution mountain systems, accounting for potential change conditions period 1991–2100....