A5085176636- Atmospheric and Environmental Gas Dynamics
- CO2 Sequestration and Geologic Interactions
- Hydrocarbon exploration and reservoir analysis
- Phosphorus and nutrient management
- Advanced Algorithms and Applications
- Groundwater flow and contamination studies
- Odor and Emission Control Technologies
- Neural Networks and Applications
- Methane Hydrates and Related Phenomena
- Soil and Water Nutrient Dynamics
- Sensorless Control of Electric Motors
Tianjin University
2023-2024
Methane (CH4) is a matter of environmental concern; however, global methane isotopologue data remain inadequate. This due to the challenges posed by high-resolution testing technology and need for larger sample volumes. Here, worldwide clumped isotope databases (n = 465) were compiled. We compared machine-learning (ML) models used random forest (RF) predict new Δ12CH2D2 distributions, which cover valuable hard-to-replicate experimental data. Our RF model yields reliable continuous database...
To improve the control performance and accuracy of brushless DC motor (BLDCM) reduce impacts unmodeled dynamics, parameter variations disturbances, a fuzzy neural network speed regulation system with online learning parameters without relying on model is proposed in this paper. Different from traditional controllers, structure controller consists two parts, training based sliding mode theory working parallel. An adaptive algorithm put forward to adjust weights membership functions. The...
Agricultural ditches are pervasive in agricultural areas and potential greenhouse gas (GHG) hotspots, since they directly receive abundant nutrients from neighboring farmlands. However, few studies measure GHG concentrations or fluxes this particular waterbody, likely resulting underestimations of emissions regions. Here we conducted a one-year field study to investigate the typical ditch systems, which include main (MD), branch (BD), collector (CD), (FD), an irrigation district located...