The EUREKA project WEBAIR develops, tests, and implements
a web based information- and decision support system for urban
and industrial air quality assessment and management.
Compilation and analysis of real-time data, scheduled, event driven
and interactive model runs and reports are main features.
Multi-criteria optimization of joint emission control strategies
for air pollutants and CO2 and GHG is one of the latest topics.
The system is designed to support relevant EU Directives such as the
Air Quality Framework Directive (2008/50/EC) for urban conglomerates
(replacing 96/62/EEC) and major industrial emission sources such as
thermal power plants (88/609/EEC) or incinerators (89/429/EEC, 89/369/EEC),
and 90/313/EEC on freedom of access to environmental information.
It is also applicable for accidental release scenarios
as part of emergency management plans under the Seveso II Directive (96/82/EC).
WEBAIR builds on E!1388 AIDAIR,
a precursor project that has developed a basic interactive
model based information and decision support system
for urban and industrial air quality management.
The emphasis of the WEBAIR project is on multi-media information,
and real-time analysis and decision support.
The Austrian component is supported by grants from the Austrian
Research Foundation FFG (Project No. 813087/4063 SCK/SAI) and the Province of Lower Austria,
currently under OPTAIR (FFG Project No. 814799).
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Implemented as an integrated set of web based application services,
the tools are easyly accessible for distributed and mobile
clients through the Internet with a standard web browser.
The approach integrates meteorological data and forecasts,
air quality and emission monitoring including mobile sources such as traffic,
dynamic 3D simulation modelling and forecasting, GIS, expert systems,
optimisation, decision support and reporting tools in a unified,
modular client/server framework implemented as a range of
web accessible application services.
Applications include air quality monitoring and reporting,
with scheduled or event driven real-time models for now-casting
with data assimilation and forecasts of various time horizons,
and the operational control of pollutant
emissions to maintain ambient air quality standards,
and model-based statistical analysis in support
of monitoring programs to demonstrate compliance as examples
of environmental eGovernment.
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