A5101859522- Bauxite Residue and Utilization
- Thermochemical Biomass Conversion Processes
- Recycling and utilization of industrial and municipal waste in materials production
- Phosphorus and nutrient management
- Recycling and Waste Management Techniques
- Adsorption and biosorption for pollutant removal
- Municipal Solid Waste Management
- Anaerobic Digestion and Biogas Production
- Graphite, nuclear technology, radiation studies
- Chemical Looping and Thermochemical Processes
- Nanomaterials for catalytic reactions
- Odor and Emission Control Technologies
- Toxic Organic Pollutants Impact
- Industrial Gas Emission Control
- Air Quality and Health Impacts
- Indoor Air Quality and Microbial Exposure
- Microplastics and Plastic Pollution
- Ammonia Synthesis and Nitrogen Reduction
- Manufacturing Process and Optimization
- Heavy metals in environment
- Heavy Metal Exposure and Toxicity
- Electrokinetic Soil Remediation Techniques
- Coal and Its By-products
- Tailings Management and Properties
- Subcritical and Supercritical Water Processes
Chinese Research Academy of Environmental Sciences
2021-2024
Tongji University
2021-2024
Kunming University of Science and Technology
2017-2024
State Key Laboratory of Pollution Control and Resource Reuse
2021-2024
Hunan University
2024
Yunnan Vocational College of Mechanical and Electrical Technology
2024
Capital Medical University
2024
Xi'an Technological University
2023
Xi'an University of Architecture and Technology
2022
Xi'an University of Technology
2022
Triclocarban (TCC), as a widely used antimicrobial agent, is accumulated in waste activated sludge at high level and inhibits the subsequent anaerobic digestion of sludge. This study, for first time, investigated effectiveness microbial electrolysis cell-assisted (MEC-AD) mitigating inhibition TCC to methane production. Experimental results showed that 20 mg/L inhibited disintegration, hydrolysis, acidogenesis, methanogenesis processes finally reduced production from traditional by 19.1%....
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This paper proposes a method for predicting concentricity and perpendicularity based on PSO-BP neural network in order to solve the problem of low accuracy aero engine multistage rotors assembly. The influence factors error propagation assembly are analyzed characteristics rotor structure process. And networks established. particle swarm algorithm is used optimize hyperparameters optimal can be obtained. In verify effectiveness prediction proposed this paper, experiments carried out four...