A5089944324- Earthquake Detection and Analysis
- Geoscience and Mining Technology
- Rock Mechanics and Modeling
- Geophysical Methods and Applications
- earthquake and tectonic studies
- Mineral Processing and Grinding
- Groundwater flow and contamination studies
- Landslides and related hazards
- Reservoir Engineering and Simulation Methods
- Hydrocarbon exploration and reservoir analysis
- Geomechanics and Mining Engineering
- Geophysical and Geoelectrical Methods
- Seismology and Earthquake Studies
- Seismic Imaging and Inversion Techniques
- Atmospheric and Environmental Gas Dynamics
- Non-Destructive Testing Techniques
- Machine Learning in Materials Science
- Mass Spectrometry Techniques and Applications
- Forensic Toxicology and Drug Analysis
- Hydraulic Fracturing and Reservoir Analysis
- Knowledge Management and Technology
- Coal Properties and Utilization
- Analytical Chemistry and Chromatography
- Hydrological Forecasting Using AI
- Bioinformatics and Genomic Networks
New Mexico State University
2024-2025
China University of Mining and Technology
2021-2024
Institute of Disaster Prevention
2018-2024
Academic Degrees & Graduate Education
2023
Shanghai Police College
2020
Micro-seismic monitoring during mining operations generates spatiotemporal data that could indicate strata fractures and deformations leading to water inrush anomalies. However, current prediction methods face challenges from the non-stationarity multi-dimensionality, resulting in low precision effectiveness. This study proposes an innovative data-driven approach for predicting using field 3D micro-seismic data. The couples machine learning deep models analyze events, pre-processed...
Abstract Deep learning models have been extensively applied to various aspects of hydrogeological modeling. However, traditional approaches often rely on separate task‐specific models, resulting in time‐consuming selection and tuning processes. This study develops an integrated Latent Diffusion Model (LDM) framework address four key modeling tasks: aquifer heterogeneity structure generation, surrogate for flow transport, direct inversion structure. Using a consistent architecture...
In order to explore the abnormal disturbance of space electric field caused by earthquakes using data ULF and VLF frequency bands observed ZH-1 satellite, taking Mw7.7 earthquake in Caribbean Sea southern sea area Cuba on 29 January 2020 as an example, signal-to-noise ratio NAA NLK artificial source transmitting stations Northern Hemisphere height lower ionosphere was calculated. The band extracted S-G filtering method. results indicate that: (1) ionospheric anomaly this appeared 20 days...
To explore the correlation between earthquakes and spatial ultra-low frequency electric field disturbances to study phenomenon of seismic ionospheric disturbances, this uses 3 years ULF band data from 2019 2021 observed by detector carried CSES identify anomalous using anomaly automatic detection algorithm based on empirical mode decomposition for 2,329 events magnitude not less than 5.0 in period are analyzed Superposed Epoch Analysis, statistical results compared depth earthquake location...
Promoting sustainable mining practices while safe-guarding water ecosystems demands precise anticipation of mine influx. This investigation pioneers a novel approach harnessing microseismic monitoring to detect water-conducting conduits and elevate proactive response strategies. Through the utilization energy density analysis, fracture points within rock formations are continuously monitored, offering real-time insights. Nonetheless, data generated from this method often exhibits...
In order to study the abnormal disturbance of space ionosphere caused by strong earthquakes, methods SGF + WTA and EMD ER are proposed compared. The applied 7.7 magnitude earthquake that occurred on southern coast Cuba 29 January 2020 based electric field ultra-low frequency waveform data recorded ZH-1 electromagnetic satellite. Analyzing six orbits in around epicenter within five days before revisiting orbit two months, significant information about changes ionospheric is obtained. results...
Drug combinations have recently been studied intensively due to their critical role in cancer treatment. Computational prediction of drug synergy has become a popular alternative strategy experimental methods for anticancer predictions. In this paper, deep learning model called DCE-DForest is proposed predict the synergistic effect combinations. To sufficiently extract information, paper leverages BERT (Bidirectional Encoder Representations from Transformers) encode and forest nonlinear...
Through field observation and theoretical study, we found that the Hanxing mining area has a typical ternary structure in coal under high water pressure of aquifer. This is Ordovician limestone aquifer-aquiclude including thin limestones-coal seam. Although aquiclude considerably thick, there still great risk burst during deep burial environment. Multidimensional characteristics floor inrush are summarized paper, migration upwardly driven by confined water, planar dispersion channel, stepped...
The ground-based artificial source electromagnetic signal transmitted to space will form a pair of intensity regions over the station and its conjugate point. In order study position strongest points in two regions, power-spectrum density (PSD) electric field on board Zhangheng-1 satellite (CSES) was selected when it passed NWC transmitting station. frequency is centered at 19.8 kHz with bandwidth 200 Hz. point defined as location maximum power spectral ±10° around within 5 days, which...
In order to study the relationship between abnormal variations of earthquake precursory information and occurrences earthquakes, also correlations among data subjects, taking big in Wenchuan as an example, four Daubechies family wavelet is used amplify two layers high frequency components so highlight signal; then signal quickly extracted with a sliding threshold method before binary processing; The minimum support confidence are set, Apriori calculate strong weak association rules...