A5100394229- Adsorption and biosorption for pollutant removal
- Coal and Its By-products
- Geotechnical Engineering and Underground Structures
- Hybrid Renewable Energy Systems
- Landslides and related hazards
- Heavy metals in environment
- Microplastics and Plastic Pollution
- Integrated Energy Systems Optimization
- Arsenic contamination and mitigation
- Advanced Fiber Optic Sensors
- Laser-Matter Interactions and Applications
- Geochemistry and Geologic Mapping
- Land Use and Ecosystem Services
- Advanced Sensor and Energy Harvesting Materials
- Geophysics and Sensor Technology
- graph theory and CDMA systems
- Soil Carbon and Nitrogen Dynamics
- Non-Destructive Testing Techniques
- MXene and MAX Phase Materials
- Soil erosion and sediment transport
- Optimal Power Flow Distribution
- Geotechnical Engineering and Analysis
- Soil Management and Crop Yield
- Gas Sensing Nanomaterials and Sensors
- Toxic Organic Pollutants Impact
Fujian University of Technology
2023-2025
Shandong Agricultural University
2018-2023
State Grid Corporation of China (China)
2022
China Electric Power Research Institute
2021
University of Florida
2020
Sanjiang University
2020
Institute of Semiconductors
2019
Chinese Academy of Sciences
2019
Hebei University of Technology
2018
3D Mxene based gas sensors demonstrated a highly sensitive detection for VOCs in an ultra-wide sensing range at room temperature.
Abstract Coal mining areas are prone to hazardous element contamination because of activities and the resulting wastes, mainly including Cr, Ni, Cu, Zn, Cd Pb. This study collected 103 samples farmland tillage soil surrounding a coal mine in southwestern Shandong province monitored heavy metal concentrations each sample by inductively coupled plasma mass spectrometer (ICP-MS). Statistics, geostatistics, geographical information systems (GIS) were used determine spatial pattern potentially...
A Hybrid Particle Swarm Optimization (HPSO) algorithm is proposed to optimize the Radial Basis Function Neural Network (RBFNN) for image reconstruction of Electrical Impedance Tomography (EIT). This combines non-linear approximation ability RBFNN with mutation HPSO based on simulated annealing, which has advantages strong global search and high robustness. mapping relationship model between boundary voltage conductivity distribution established through HPSO-RBFNN realize reconstruction,...
Research on the characteristics and distribution of natural fractures is great importance for exploration development low-permeability sandstone gas reservoirs. In this study, fracture identification characterization were carried out using cores imaging logging. Then, comprehensive indicators constructed to predict in wells by conventional The main factors that affect implications hydrocarbon discussed. results showed mainly low-angle tectonic Most are unfilled, but thin sections has a...
In this paper, we prove that each matrix in $M_{m\times n}(\mathbb Z_{\geq0})$ is uniformly column sign-coherent with respect to any $n\times n$ skew-symmetrizable integer matrix. Using such matrices, introduce the definition of irreducible skew-symmatrizable Based on this, existence a maximal green sequence for matrices reduced matrices.
Time-frequency analysis is used in recognition of subway tunnel vibration signals. The results show that the feature extracted from energy distribution can be identifying drilling events.
Tourism has been proven to disturb the soil environments and stimulate heavy metal accumulation in scenic areas. Currently, research on driving mechanisms of impact tourism quality degradation is limited. Therefore, aim this study was introduce a complex network method comprehensively depict quality. To explore key influencing factors, we collected 10 topsoil samples corresponding control from representative areas Mount Tai. Soil physicochemical properties (organic matter (OM), alkali...
A three-component fiber optic seismic sensor array is installed in subway tunnel for intrusion detection. The interrogation of the sensors phase generation carrier (PGC). field test carried out Shenzhen Metro.
Abstract Considering the uncertainty of renewable energy generation and market transaction risk in day ahead virtual power plants, an optimal scheduling model plant was presented. Firstly, this study modeled analyzed wind photovoltaic fluctuations plant. In addition, based on conditional value at theory clearing rules, plants established aiming minimizing implementation deviation maximizing operating income. Finally, data a typical region selected for case to verify effectiveness feasibility...
In this paper, operation optimization of integrated energy system based on variable efficiency characteristics equipment and dynamic pipe network is studied. The includes combined heating power unit, electric boiler, wind turbine, photovoltaic generation. An hub model established. At the same time, thermal considered in while process under change mass flow discussed. considering studied with objective minimum operating cost. results show that proposed has better economy, case shows total...
The integrated energy system includes a variety of production and conversion equipment, which can realize the complementary operation cold hot electricity improve utilization efficiency. However, at present, research on optimal is relatively limited, there are few types equipment models, objective function single. Therefore, this paper constructs comprehensive model covering production, storage, establishes multi-objective optimization operating cost, carbon emission primary consumption,...