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SANY concrete results

  • Sensor Service Architecture
  • SANY Software Components
  • Sensor Integration
  • Data Fusion and Modelling Services
  • Decision Support Infrastructure
  • SANY Applications
    • Air Quality
      • INSPIRE Meta-Information
      • CAFE Report Generation
      • Data Plausability
      • Impact of Known Pollution Sources
    • Marine risk
    • Urban Geo Hazards

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Home » Results » SANY Applications

Air Quality

Air quality is one of the most important indicators for the sustainable development. The air quality monitoring is therefore required and regulated by the law in all European states. In addition, to existing reporting obligations the
EU-wide initiatives such as INSPIRE and CAFE are gradually introducing the need for the pan-European interoperability and real time exchange of data.
SP4 overviewThe SANY ‘Air Quality’ pilot is used to validated the usability of the SensorSA based air quality management networks for three main groups of users: network operators, national environmental agencies, and for the European Environmental agency. The SANY Air Quality Management Pilot focuses on the following topics:

  • Providing uniform access to data from air quality monitoring systems of France, Belgium and Austria. The Air Quality Pilot also showcases the feasibility of serving the INSPIRE-relevant meta information over the standardized OGC Sensor Observation Service interface
  • Aiding the domain experts in performing the routine Quality Assurance of the data. This is achieved by mean of the state space fusion service. This service continuously monitors all available air quality (immission) observations and publishes the now-casts and confidence intervals at 17 measurement locations using the data model similar to the original
    immission data model. The combination of the data from both servers, presented side-by side provides a very effective help in finding suspicious measurements.

  • Identifying the impact of the known pollution sources to actually measured immission, and providing an indication for the relative importance of the unknown (unaccounted for) sources of pollution at the selected positions. This is achieved by comparing the immission measurements with the prediction based on real-time emissions from major industrial plants in the Linz area.
  • Illustrating the feasibility of the automatic report generation. This use case is limited to automatic generation of the data required for reporting in the CAFE
  • INSPIRE Meta-Information
  • CAFE Report Generation
  • Data Plausability
  • Impact of Known Pollution Sources
‹ SANY ApplicationsupINSPIRE Meta-Information ›
By Denis Havlik at 2009-09-25 14:50 | printer-friendly version | login to post comments