Welcome to TC 8.3. We are dedicated to studying the monitoring, modeling, and control of environmental systems. Our aim is the development of methodologies and tools to support sustainable, cost-effective, and socially acceptable decision-making processes. These processes are crucial in addressing climate change, the relationship between humans and the environment, and human well-being.
The environmental systems considered encompass the atmosphere (including air pollution and climate change), land (involving forests, biomasses, soil contamination, etc.), water resources (covering surface and groundwater, marine and coastal waters), and renewable energy systems (such as solar, wind, bioenergy, biofuels, hydrogen). Approaches encompass a wide range of methodologies. They span traditional non-linear dynamic modeling and control techniques to more advanced methods, including multi-objective and multi-criteria optimization, agent-based and participatory modeling, integrated assessment, uncertainty management, data assimilation, artificial intelligence, machine learning methods, risk management, and decision support systems.
Keywords (2025)
- AI and ML for environmental systems
- Air quality modeling and control
- Climate change mitigation and adaptation modeling
- Control of large-scale environmental systems
- Integrated Assessment Modeling
- Modeling and identification of environmental systems
- Natural resources management
- Optimal control and operation of environment systems
- Participatory decision making
- Planning and management under deep uncertainty
- Real time monitoring and control of environmental systems
- Risk analysis, impact assessment
- Water-food-energy nexus
- Water resource system modeling and control
If you are a researcher or practitioner interested in contributing to the activity of this Technical Committee, please feel free to contact me or any other member from the TC.
Maria Luisa Volta (TC Chair)
