A5036442264- Groundwater flow and contamination studies
- Hydrology and Watershed Management Studies
- Groundwater and Isotope Geochemistry
- Geophysical and Geoelectrical Methods
- Reservoir Engineering and Simulation Methods
- Hydrology and Drought Analysis
- Hydraulic Fracturing and Reservoir Analysis
- Hydrological Forecasting Using AI
- Soil and Unsaturated Flow
- Water resources management and optimization
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Landslides and related hazards
- Karst Systems and Hydrogeology
- Water Systems and Optimization
- Advanced Mathematical Modeling in Engineering
- Enhanced Oil Recovery Techniques
- Climate variability and models
- Advanced Numerical Methods in Computational Mathematics
- Geophysical Methods and Applications
- Toxic Organic Pollutants Impact
- Per- and polyfluoroalkyl substances research
- Microplastics and Plastic Pollution
- Cryospheric studies and observations
- Dam Engineering and Safety
- Fish Ecology and Management Studies
Wuhan University of Technology
2025
Nanjing University
2015-2024
State Key Laboratory of Pollution Control and Resource Reuse
2015-2024
Guiyang College of Traditional Chinese Medicine
2018-2024
Hohai University
2023
Huazhong University of Science and Technology
2023
Fujian Medical University
2020-2023
Xiangtan University
2022-2023
Minjiang University
2022
Walter de Gruyter (Germany)
2018
The properties of nanoparticles and their increased use have raised concerns about possible harmful effects within the environment. Most studies on been in aqueous systems. Here we investigated effect TiO2 ZnO wheat growth soil enzyme activities under field conditions. Both reduced biomass wheat. were retained for long periods primarily adhered to cell walls dissolved soil, thereby enhancing uptake toxic Zn by also induced significant changes activities, which are bioindicators quality...
Surrogate strategies are used widely for uncertainty quantification of groundwater models in order to improve computational efficiency. However, their application dynamic multiphase flow problems is hindered by the curse dimensionality, saturation discontinuity due capillarity effects, and time-dependence multi-output responses. In this paper, we propose a deep convolutional encoder-decoder neural network methodology tackle these issues. The surrogate modeling task transformed an...
Although per- and polyfluoroalkyl substances (PFASs) have always been a key issue in the global environmental field, there are still lot of undiscovered PFASs environment due to new PFAS alternatives developed by manufacturers. Wastewater treatment plants (WWTPs), as one sources for PFASs, an important part process releasing into environment. In this study, suspect screening homologue analysis with quadrupole time-of-flight tandem mass spectrometry were used discover wastewater from WWTP...
Identification of a groundwater contaminant source simultaneously with the hydraulic conductivity in highly-heterogeneous media often results high-dimensional inverse problem. In this study, deep autoregressive neural network-based surrogate method is developed for forward model to allow us solve efficiently such problems. The trained using limited evaluations model. Since relationship between time-varying inputs and outputs transport complex, we propose an strategy, which treats output at...
Elevated CO2 levels and the increase in heavy metals soils through pollution are serious problems worldwide. Whether elevated will affect plants grown heavy-metal-polluted soil thereby influence food quality safety is not clear. Using a free-air enrichment (FACE) system, we investigated impacts of atmospheric on concentrations copper (Cu) or cadmium (Cd) rice wheat with different soil. In two-year study, led to lower Cu higher Cd shoots grain both respective contaminated slightly but...