A5088780742- Landslides and related hazards
- Cryospheric studies and observations
- Hydrocarbon exploration and reservoir analysis
- Tree Root and Stability Studies
- Geology and Paleoclimatology Research
- Geotechnical Engineering and Analysis
- Methane Hydrates and Related Phenomena
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Climate change and permafrost
- Geological and Geophysical Studies
- Soil erosion and sediment transport
- Geological formations and processes
- Flood Risk Assessment and Management
- Rock Mechanics and Modeling
- Fire effects on ecosystems
- Geological and Geochemical Analysis
- Hydrology and Sediment Transport Processes
- Remote Sensing and Land Use
- Atmospheric and Environmental Gas Dynamics
- Soil and Unsaturated Flow
- Dam Engineering and Safety
- earthquake and tectonic studies
- Geological Studies and Exploration
- Aeolian processes and effects
- Environmental and Agricultural Sciences
Northwest University
2016-2025
BOE Technology Group (China)
2008-2024
Children's Hospital of Philadelphia
2023
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2022
China Geological Survey
2015-2022
Guangzhou Marine Geological Survey
2018-2022
Ministry of Natural Resources
2010-2022
Institute of Mountain Hazards and Environment
2016-2017
Chinese Academy of Sciences
2016-2017
Oil and Gas Center
2012-2014
Natural gas hydrates (NGH) is one of key future clean energy resources. Its industrialized development will help remit the huge demand global natural gas, relieve increasing pressure environment, and play a vital role in green sustainable growth human societies. Based on nearly two decades’ studying reservoir characteristics South China Sea (SCS) knowledge system, Geological Survey (CGS) conducted first production test an optimal target selected Shenhu area SCS 2017. Guided by "three-phase...
Clayey silt reservoirs bearing natural gas hydrates (NGH) are considered to be the hydrate-bearing that boast highest reserves but tend most difficult exploit. They proved exploitable by first NGH production test conducted in South China Sea 2017. Based on understanding of test, Geological Survey determined optimal target for and a detailed assessment, numerical experimental simulation, onshore testing reservoirs. After that, it second offshore 1225 m deep Shenhu Area, (also referred as...
Identification and monitoring of unstable slopes across wide regions using Synthetic Aperture Radar Interferometry (InSAR) can further help to prevent mitigate geological hazards. However, the low spatial density measurement points (MPs) extracted traditional time-series InSAR method in topographically complex mountains vegetation-covered makes final result unreliable. In this study, a analysis single- multi-look phases were adopted solve problem, which exploited increase number MPs natural...
Using the physical deterministic model to analyze landslide stability has become a hotspot of disasters research all over world. The Digital Elevation Model (DEM) resolution great influence on simulation effect 3 D models. However, few researchers have studied prediction performance models under different DEM resolutions. Therefore, based Scoops3D, spatial distribution landslides was simulated and predicted five DEMs resolutions (2.5 m, 5 10 20 30 m). optimal parameters were obtained through...
Abstract Retrogressive thaw slumps (RTSs) have become a dominant geomorphic event in permafrost regions due to the modern climate change. However, roles of topographic, vegetation, and soil factors influencing spatial distribution recurrence RTSs remain not fully understood. Here, we identified formation 459 during 2008–2021 using satellite images central Qinghai‐Tibet Plateau (Northwest Beiluhe Basin, 239 km 2 ). We found that topographic environmental attributes exhibited strong...
Abstract Landslides triggered by rainstorms and earthquakes are prominent geological hazards that exhibit distinctive spatial morphological characteristics due to diverse instability mechanisms. However, studies on differences between the two types of landslides remain limited. In this study, we explored in location geometric properties rainstorm‐induced Qinzhou, Longchuan Fukuoka earthquake‐induced Lushan, Iburi Kaikōura. We normalized across slope quantified landslide polygons using four...
The deformation characteristics and instability patterns of rotational landslides are complicated. Such large occur continuously, seriously threatening people’s lives. We used interferometry synthetic aperture radar (InSAR), digital elevation models difference (DODs), numerical simulations, other techniques for analyzing the topographic changes, surface movement process before, during after a landslide. Based on high-resolution terrain data before landslide, changes were analyzed, active...
Landslide susceptibility assessment is crucial in predicting landslide occurrence and potential risks. However, traditional methods usually emphasize on larger regions of landsliding rely relatively static environmental conditions, which exposes the hysteresis refined-scale temporal dynamic changes. This study presents an improved approach by integrating machine learning models based random forest (RF), logical regression (LR), gradient boosting decision tree (GBDT) with interferometric...
Shenhu Area is located in the Baiyun Sag of Pearl River Mouth Basin, which on northern continental slope South China Sea. Gas hydrates this area have been intensively investigated, achieving a wide coverage three-dimensional seismic survey, large number boreholes, and detailed data logging, core analysis. In beginning 2020, has successfully conducted second offshore production test gas area. paper, studies were made structure hydrate system for test, based logging analysis As to results...
Investigating landslide deformation patterns in different evolution stages is important for understanding movement. Translational landslides generally slide along a relatively straight surface of rupture. Whether the post-failure spatiotemporal certain translational follows pre-failure pattern remains untested. Here, pre- and deformations Simencun Yellow River 2018 were analyzed through multi-temporal remote sensing image analysis, Interferometric Synthetic Aperture Radar (InSAR) monitoring...
The effectiveness of data-driven landslide susceptibility mapping relies on data integrity and advanced geospatial analysis; however, selecting the most suitable method identifying key regional factors remains a challenging task. To address this, this study assessed performance six machine learning models, including Convolutional Neural Networks (CNNs), Random Forest (RF), Categorical Boosting (CatBoost), their CNN-based hybrid models (CNN+RF CNN+CatBoost), Stacking Ensemble (SE) combining...