Topics of Information Technologies in Environmental Engineering (ITEE'2003)

1. Tools and measurement techniques
   • Water and air pollution measuring
   • Continuous monitoring of gaseous and particulate pollutants using state-of-the-art monitoring equipment
   • Monitoring of meteorological parameters, dust, wet and dry deposition
2. Formal methods and data processing techniques
   • Pollution engineering and management
   • Air quality management
   • Environmental and water resource engineering
   • Process studies
   • Chemistry of air pollution
   • Urban and suburban transport emissions
   • Data assimilation and sensitivity analysis
   • Data management
   • Data access via the Internet
   • Coupling of models and databases
   • Updating of model calculation during run-time
   • Data visualisation
   • Data interchange formats and standards
   • Geographic information systems
   • Comparison of modelling with experiments
   • Data analysis and observation
   • Data processing and verification, including database management
   • Data security - data mining
   • Management and Distribution of Electrical Energy
   • Power Distribution Systems
3. Modelling and simulation problems
   • Modelling of atmospheric chemical kinetics (gas and aqueous phases)
   • Chemical transformation modelling
   • Aerosol modelling
   • Mesoscale meteorology
   • Urban scale meteorology
   • Emission models
   • Coupling with radiative effects
   • Numerical simulation of transport
   • Numerical simulation of atmospheric chemical kinetics
   • Inverse modelling
   • Ground water pollution modelling
   • Water pollution modelling and prediction
   • Urban pollution modelling
   • Models for ground water (groundwater), surface water, storm water
   • Risk and environmental modelling
   • Soft modelling
4. Information systems
   • System management
   • Agent-based systems
   • Planning for environmental engineering (EE)
   • Intelligent systems for environmental engineering (EE)
   • Artificial intelligence and expert systems for environmental engineering (EE)
   • Architectures for building the systems
   • Knowledge based integration
   • Distributed computing environments
   • WWW-based for EE systems
   • Decision support systems - distributed systems
5. Practical applications and experiences
   • Practical solutions
   • Systematic guide-lines
   • Case studies, pilot projects and experiments
   • Applications in the cities
   • Application in agriculture