SHIP Lab Research
SHIP Lab Research
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Utilizing multi-geophysical data to characterize the subsurface and improve physical models prediction capabilities.
Research Methods
Research Methods
1. Advanced 4D Geophysical Imaging
1. Advanced 4D Geophysical Imaging
We specialize in developing novel inversion algorithms that integrate multiple constraints and datasets to overcome traditional limitations of single-method approaches and provide 4D images.
Joint inversion
Structurally-Constrained Inversion
Temporal Constraint Integration
Chen et al., 2025, JGR:Solid Earth
2. Integrated Hydrological Modeling
2. Integrated Hydrological Modeling
We advance hydrological science by integrating high-resolution geophysical data directly into hydrologic models' subsurface parameterization, creating a new paradigm of "geophysics-informed hydrologic modeling." This approach addresses critical limitations of traditional hydrologic models by incorporating detailed subsurface structural information derived from geophysical imaging, leading to more accurate predictions of streamflow generation, groundwater recharge, and hydrological partitioning.
Geophysics-Informed Framework
Climate Impact Assessment
Chen et al., 2023, WRR
3. AI-driven Solutions
3. AI-driven Solutions
We harness the power of artificial intelligence to revolutionize geophysical data interpretation and Earth system modeling. Our AI-driven approaches include deep learning for geophysical inversion, neural networks for pattern recognition in complex datasets, and machine learning algorithms for real-time data integration and analysis.
Deep Learning Inversion
Advanced Signal Processing
Pattern Recognition
Xie, Chen* et al., 2025, TGRS
Research Applications
Research Applications
1.Integrated Watershed Analysis & Management
1.Integrated Watershed Analysis & Management
Sustainable water management in diverse hydrological landscapes
Developing comprehensive approaches to study watershed systems using advanced geophysical techniques combined with state-of-the-art hydrologic modeling. Our work focuses on understanding surface water-groundwater interactions, optimizing water resource management strategies, and assessing climate change impacts on hydrological partitioning.
Chen et al., 2024, GRL
2. Critical Zone Ecosystem Dynamics
2. Critical Zone Ecosystem Dynamics
Rock-soil-plant-atmosphere interactions and ecosystem resilience
Understanding the complex interactions within the Critical Zone Rock-Soil-Plant-Atmosphere ecosystem, with particular emphasis on how rock moisture influences ecosystem dynamics. Our research expands traditional soil-plant-atmosphere studies by incorporating bedrock interactions and their role in water storage and ecosystem health.
Chen et al., 2025, WRR (under preparsion)
3. Environmental Monitoring & Protection
3. Environmental Monitoring & Protection
Safeguarding groundwater and environmental systems
Using advanced geophysical techniques to monitor nuclear waste disposal sites, assess contamination risks, and ensure long-term groundwater protection. Our 4D monitoring approaches provide critical insights into thermal-hydrological-mechanical processes and environmental safety.
Chen et al., 2024 GRL; Chen et al., 2025a, JGR:SE; Chen et al., 2025b, JGR:SE
4. Critical Mineral & Resource Characterization
4. Critical Mineral & Resource Characterization
Strategic resource exploration for sustainable development
Applying electromagnetic and other geophysical methods to characterize mineral deposits essential for renewable energy technologies and national demand. Our work includes geothermal resource assessment and infrastructure resilience monitoring for sustainable development.
Guo, Chen* et al., 2025, Geophysics
5. Geological Hydrogen Exploration
5. Geological Hydrogen Exploration
Clean energy resource identification and characterization
Developing comprehensive geophysical exploration workflows to identify and characterize natural hydrogen accumulations. Our integrated approach combines surface and subsurface investigative methods, including remote sensing, magnetic surveys, seismic imaging, and electromagnetic techniques to detect hydrogen-rich geological formations.
Mao*, Yu*, Xu*, Chen*, et al., 2025, EES (under review)
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