A5079272427- Landslides and related hazards
- Cryospheric studies and observations
- Flood Risk Assessment and Management
- Hydrology and Sediment Transport Processes
- Fire effects on ecosystems
- Climate change and permafrost
- Tree Root and Stability Studies
- Soil and Unsaturated Flow
- Hydrocarbon exploration and reservoir analysis
- Dam Engineering and Safety
- earthquake and tectonic studies
- Geotechnical Engineering and Analysis
- Geology and Paleoclimatology Research
- Hydrology and Watershed Management Studies
- Rock Mechanics and Modeling
- Fluid Dynamics Simulations and Interactions
- Winter Sports Injuries and Performance
- Yersinia bacterium, plague, ectoparasites research
- Viral Infections and Vectors
- Geological Modeling and Analysis
- Anomaly Detection Techniques and Applications
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Atmospheric and Environmental Gas Dynamics
- Petroleum Processing and Analysis
Yangtze University
2024-2025
Institute of Mountain Hazards and Environment
2015-2024
Chinese Academy of Sciences
2015-2024
Xihua University
2024
University of Chinese Academy of Sciences
2020-2022
Research Institute of Petroleum Exploration and Development
2011-2022
Anhui Polytechnic University
2011-2017
Ministry of Water Resources of the People's Republic of China
2017
Among natural hazards, landslides are devastating in China. However, little is known regarding potential landslide-prone areas Maoxian County. The goal of this study was to apply four deep learning algorithms, the convolutional neural network (CNN), (DNN), long short-term memory (LSTM) networks, and recurrent (RNN) evaluating possibility throughout County, Sichuan, A total 1290 landslide records developed using historical records, field observations, remote sensing techniques. susceptibility...
Abstract The Third Pole experiences accelerated glacier retreating particularly in the eastern‐Himalaya, coinciding with a decrease of monsoon‐precipitation early 21st century. extent to which vanishing abundant maritime glaciers buffer declining precipitation‐runoff remains unclear. Here, state‐of‐the‐art enthalpy‐based distributed cryosphere‐hydrology model and first‐hand hydrometeorology observations at Motuo (latest accessible Chinese county), we carefully examine Yarlung Zangbo basin...
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)...
Water leakage poses a significant threat to the safe operation of tunnels. We utilized Mobile Laser Scanner (MLS) collect point cloud data under adverse tunnel conditions. A mapping approach was employed generate MLS intensity images. Tailored for multiscale images, we devised lightweight object detection network identify areas affected by water promptly. Integrating efficient receptive field expansion convolution (EREC) into models facilitated feature extraction. Additionally, designed an...
Glacial lake outburst floods (GLOF) evolve into debris flows by erosion and sediment entrainment while propagating down a valley, which highly increases peak discharge volume causes destructive damage downstream. This study focuses on GLOF hazard assessment in the Bhote Koshi Basin (BKB), where was developed glacial lakes intensely affected Gorkha earthquake. A new 2016 inventory established, six unreported events were identified with geomorphic evidence from GaoFen-1 satellite images Google...
Abstract A gradient boosting machine (GBM) was developed to model the susceptibility of debris flow in Sichuan, Southwest China for risk management. total 3839 events during 1949–2017 were compiled from Sichuan Geo-Environment Monitoring program, field surveys, and satellite imagery interpretation. In cross-validation, GBM showed better performance, with prediction accuracy 82.0% area under curve 0.88, than benchmark models, including Logistic Regression, K-Nearest Neighbor, Support Vector...
Abstract. The Kosi River is an important tributary of the Ganges River, which passes through China, Nepal and India. With a basin area 71 500 km2, has largest elevation drop in world (from 8848 m Mt Everest to 60 Plain) covers broad spectrum climate, soil, vegetation socioeconomic zones. suffers from multiple water related hazards including glacial lake outburst, debris flow, landslides, flooding, drought, soil erosion sedimentation. This paper describes characteristics basin, based on...
Abstract. Meteorological studies have indicated that high alpine environments are strongly affected by climate warming, and periglacial debris flows frequent in deglaciated regions. The combination of rainfall air temperature controls the initiation flows, addition meltwater due to higher temperatures enhances complexity triggering mechanism compared storm-induced flows. On south-eastern Tibetan Plateau, where temperate glaciers widely distributed, numerous occurred over past 100 years, but...
A series of significant breakthroughs in exploring conventional and unconventional natural gas resources have been achieved new strata domains. However, the quality increased reserves has declined with entry into sequence. Therefore, potential as well important exploration regions remaining need to be clarified, favorable directions established. On basis oil results, discoveries petroleum geology, data past 10 years acquired by PetroChina, an entire system resource assessment for The fourth...
Abstract. The evaluation of potential landslides in mountain areas is a very complex process. Currently, event understanding scarce due to information limitations. Identifying the whole chain events not straightforward task, and impacts mass-wasting processes depend on conditions downstream origin. In this paper, we present an example that illustrates complexities may lead natural disaster. On 16 December 2017, landslide occurred Yelcho range (southern Chile). event, 7 million m3 rocks soil...
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The challenge of obtaining landslide susceptibility zoning in Tibet is compounded by the high altitude, extensive range, and difficult exploration region. To address this issue, a novel evaluation approach based on Stacking ensemble machine learning proposed. This study focuses Jiacha County, adopts slope unit as unit, picks up 14 factors that symbolize topography geomorphology, environmental hydrological features, basic geological features. These conditioning were integrated into total 4660...
The extreme rainstorm flood disaster in Beijing on 31 July 2023 resulted 33 fatalities and 18 missing persons, with direct economic losses across the Beijing–Tianjin–Hebei metropolitan area exceeding RMB 10 billion. Despite its inland location, which is not conventionally classified as a flood-prone zone, considered region, yet it frequently experiences disasters, has led to confusion perplexity. This article collects records of historical flooding disasters over past 1000 years, spanning...
The improvement of the landslide susceptibility mapping (LSM) is a long-standing problem, as it provides basics for hazard mitigation. Recently, hybrid ensemble deep learning (DL) techniques have witnessed potential this purpose. In paper, we proposed novel DL model, namely GL-ResNet, which employs conventional ResNet blocks feature extraction, long-short term memory (LSTM) structures information storage, and GoogLeNet block (GBlk) to broaden model perception ability. To validate...