A5100733093- Metal Extraction and Bioleaching
- Atmospheric chemistry and aerosols
- Iron and Steelmaking Processes
- Metallurgical Processes and Thermodynamics
- Atmospheric aerosols and clouds
- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Advanced materials and composites
- Extraction and Separation Processes
- Atmospheric and Environmental Gas Dynamics
- Minerals Flotation and Separation Techniques
- Wastewater Treatment and Nitrogen Removal
- Bauxite Residue and Utilization
- Anaerobic Digestion and Biogas Production
- Recycling and utilization of industrial and municipal waste in materials production
- Atmospheric Ozone and Climate
- Vehicle emissions and performance
- Aluminum Alloys Composites Properties
- Thermochemical Biomass Conversion Processes
- Aluminum Alloy Microstructure Properties
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
- Meteorological Phenomena and Simulations
- Phosphorus and nutrient management
- Mineral Processing and Grinding
Central South University
2017-2025
Wuhan University
2015-2025
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2020-2025
Chinese Academy of Sciences
2024-2025
Syracuse University
2025
Hebei University
2025
Institute of Optics and Electronics, Chinese Academy of Sciences
2025
Shenzhen University
2020-2025
Hunan Hydro&Power Design Institute
2023-2025
University of Science and Technology of China
2025
We report the syntheses of highly dispersed CoNi bimetallic catalysts on surface α-MoC based strong metal support interaction (SMSI) effect. The between nearly atomically Co and Ni atoms was observed for first time by real-space chemical mapping at atomic level. Combined with ability to split water low temperatures, as-synthesized CoNi/α-MoC exhibited robust synergistic performance hydrogen production from hydrolysis ammonia borane. metal-normalized activity 1.5Co1.5Ni/α-MoC catalyst reached...
Abstract China is likely the world's largest anthropogenic source of methane emissions, with coal mine (CMM) being predominant contributor. Here, we deploy 2 years satellite observations to survey facility‐level CMM emitters in Shanxi, most prolific mining province China. A total 138 detected episodic events at 82 facilities are estimated emit 1.20 (+0.24/−0.20, 95% CI) million tons per year (Mt CH 4 /yr) during 2021–2023, roughly equivalent 4.2 times integrated flux from Permian plumes and...
Efficient prediction of the air quality response to emission changes is a prerequisite for an integrated assessment system in developing effective control policies. Yet, representing nonlinear controls with accuracy remains major barrier quality-related decision making. Here, we demonstrate novel method that combines deep learning approaches chemical indicators pollutant formation quickly estimate coefficients functions using ambient concentrations 18 simulated comprehensive atmospheric...
In the present work,heat–CaO2 advanced thermal hydrolysis pretreatment was applied for enhancing fermentative short-chain fatty acids (SCFAs) production from waste activated sludge (WAS). Various conditions including heating temperatures, CaO2 doses, and times were optimized. Simulation experimental results showed that optimal a temperature of 67.4 °C, 0.12 g/g VSS, time 19 h, under which maximum SCFAs yield reached to 336.5 mg COD/g VSS after 5 days fermentation, with percentage acetic acid...
Abstract. Quantification of emission changes is a prerequisite for the assessment control effectiveness in improving air quality. However, traditional bottom-up method characterizing emissions requires detailed investigation data (e.g., activity and other parameters) that usually takes months to perform limits timely assessments. Here we propose novel address this issue by using response model provides real-time estimation based on quality observations combination with emission-concentration...
Abstract Development of the measurement-based carbon accounting means is great importance to supplement traditional inventory compilation. Mobile CO 2 /CH 4 measurement provides a flexible way inspect plant-scale emissions without need notify factories. In 2021, our team used vehicle-based monitor system conduct field campaigns in two cities and one industrial park China, totaling 1143 km. Furthermore, we designed model based on sample concentrations evaluate emissions, EMISSION-PARTITION,...
The observation-based air pollution forecasting method has high computational efficiency over traditional numerical models, but a poor ability in long-term (after 6 h) due to lack of detailed representation atmospheric processes associated with the transport. To address such limitation, here we propose novel real-time model that applies hybrid graph deep neural network (GNN_LSTM) dynamically capture spatiotemporal correlations among neighborhood monitoring sites better represent physical...