Scopes
(Including but not limited to the following topics)
Topic 1: Environmental Modeling
Atmospheric pollution dispersion model
Water quality and water ecology model
Groundwater flow and solute transport
Soil erosion and pollutant migration
Ecological carrying capacity model
Climate model and regional downscaling
Land surface process model and surface energy balance
Remote sensing parameter inversion and data assimilation
Urban microclimate and heat island effect simulation
Environmental fluid mechanics numerical simulation
Multimedia environmental fate model
Ecosystem service value assessment model
Environmental risk assessment and uncertainty analysis
Spatial statistics and geostatistics methods
Environmental system dynamics and scenario prediction
Topic 2: Data Science
Multi-source environmental data fusion
Spatial-temporal data analysis and mining
High-dimensional data dimensionality reduction and feature extraction
Machine learning and deep learning
Data assimilation and Kalman filtering
Bayesian statistical inference
Graph neural networks and environmental relationship modeling
Transfer learning and cross-domain adaptation
Large language models and environmental text mining
Data visualization and interactive analysis
Anomaly detection and environmental event identification
Data quality assessment and uncertainty quantification
Distributed computing and environmental big data
Causal inference and environmental attribution
Digital twin and environmental simulation
Topic 3: Intelligent Computing
Evolutionary computing and swarm intelligence
Neural networks and deep learning
Fuzzy logic and rough sets
Reinforcement learning and adaptive decision-making
Multi-objective optimization and Pareto frontier
Agent models and response surface methods
Meta-heuristic algorithms (genetic, simulated annealing, etc.)
High-dimensional global optimization algorithms
Uncertainty optimization and robust optimization
Multi-agent collaborative computing
Graph computing and network analysis
Quantum computing and intelligent computing intersection
Parallel intelligent computing framework
Interpretable intelligent computing
Intelligent computing and environmental management decision support
Topic 1: Environmental Modeling
Atmospheric pollution dispersion model
Water quality and water ecology model
Groundwater flow and solute transport
Soil erosion and pollutant migration
Ecological carrying capacity model
Climate model and regional downscaling
Land surface process model and surface energy balance
Remote sensing parameter inversion and data assimilation
Urban microclimate and heat island effect simulation
Environmental fluid mechanics numerical simulation
Multimedia environmental fate model
Ecosystem service value assessment model
Environmental risk assessment and uncertainty analysis
Spatial statistics and geostatistics methods
Environmental system dynamics and scenario prediction
Topic 2: Data Science
Multi-source environmental data fusion
Spatial-temporal data analysis and mining
High-dimensional data dimensionality reduction and feature extraction
Machine learning and deep learning
Data assimilation and Kalman filtering
Bayesian statistical inference
Graph neural networks and environmental relationship modeling
Transfer learning and cross-domain adaptation
Large language models and environmental text mining
Data visualization and interactive analysis
Anomaly detection and environmental event identification
Data quality assessment and uncertainty quantification
Distributed computing and environmental big data
Causal inference and environmental attribution
Digital twin and environmental simulation
Topic 3: Intelligent Computing
Evolutionary computing and swarm intelligence
Neural networks and deep learning
Fuzzy logic and rough sets
Reinforcement learning and adaptive decision-making
Multi-objective optimization and Pareto frontier
Agent models and response surface methods
Meta-heuristic algorithms (genetic, simulated annealing, etc.)
High-dimensional global optimization algorithms
Uncertainty optimization and robust optimization
Multi-agent collaborative computing
Graph computing and network analysis
Quantum computing and intelligent computing intersection
Parallel intelligent computing framework
Interpretable intelligent computing
Intelligent computing and environmental management decision support
Important Dates/重要日期
- Submission Deadline: 2026.10.10
- Registration Deadline: 2026.10.17
- Conference Date: 2026.10.28
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: conf_manage@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
肖老师
+86-17172888836(微信同号)
3770887106
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