AirWare - Version R5 8 - Air Quality Management Information System Software
AirWare is the 'next generation' model-based real-time and web-based information and decision support system for urban and industrial air quality assessment and management. The system supports the implementation of European and national environmental legislation such as the European Air Quality Framework Directive 2008/50/EC (replacing 96/62/EC) and Daughter Directives, 88/609/EEC on major point sources, 89/429/EEC and 89/369/EEC on incinerators or 90/313/EEC on public access to environmental information.
AirWare supports intergrated data management and modeling tools for:
- Compliance monitoring, alerts and alarms, reporting;
- Nowcasts, forecasts and public information, 3G mobile client support;
- Scenario analysis and source apportionment, EIA and SEA studies;
- Multi-citeria emission control optimization, policy design.
A tightly integrated system in distributed client-server implementation, open, modular architecture and a fully web-based user interface exploits the latest dynamic 3D models and network computing technologies, including high-performance distributed GRID and cluster implementations. The AirWare models can run within a real-time expert system framework, that coordinates data acquisition from a range of information resources, hourly now-cast model runs with data assimilation, regular e.g., daily forecast runs, using observed or simulated dynamic emissions and 3D dynamic meteorological models as pre-processors.
Designed primarily for urban agglomerations and industrial areas, the modular software system integrates monitoring data acquisition and analysis in real-time, emission data bases and an embedded GIS, simulation and optimisation models with coverage from local and near-field to regional scales with a nested grid apporach and several, nested models with different resolution and scope.
A rule-based expert system for environmental impact assessment, and a range of decision support tools, including the multi-criteria optimization of cost-effective emission control strategies complement the basic simulation models and associated data bases.