Institute for Transuranium Elements
Radioactivity Environmental Monitoring: INTAMAP



    The main objective of this project is to develop spatial statistical methods and open web-based data exchange and visualisation tools and to apply these to real time automatic mapping of a critical environmental variable at the European scale. The variable chosen will be radiation levels as reported by 29 European countries that participate to the European radiological data exchange platform (EURDEP). The approach will be general and yield useful tools for automatic mapping of a great variety of environmental variables.
    In case of hazards and emergencies (e.g. pollution peaks, nuclear/radiological accidents, flash-floods), maps of environmental variables interpolated from monitoring network measurements are needed in real-time with minimum or no human intervention to reflect the monitored situation. In particular when dealing with unforeseen events (‘hot spots’ or extreme values) environmental monitoring systems (EMS) usually lack adequate automatic mapping systems. Because spatial interpolation has an associated interpolation error, an automatic mapping system must inform decision-makers about the uncertainties associated with the interpolated maps, such as by means of probabilities that a critical threshold is exceeded over a certain geographic region. Combining these probabilities with population density yields a system for rapid assessment of exposed population at risk.
    This project addresses key issues of GMES and integrates the results in an INSPIRE compliant framework, based on open standards (OGC/Orchestra/OASIS) and web (feature) services. Hence, the project has the ambition to lay down the foundations that set the technology and science necessary to realise the above objectives in the most accurate, reliable and extensible form.

  1. identify, use and, if needed, develop methods that would allow one to provide useful definitions of "hot spots" (statistically, morphologically, legally) regardless of the environmental variable analysed;
  2. develop and apply methods to analyse and predict spatial distributions of these "hot spots";
  3. develop and apply methods to estimate probabilities to encounter such hot spots.


University Utrecht (The Netherlands), Aston University (UK), University Wageningen (The Netherlands), Technical University of Crete (Greece), University of Klagenfurt (Austria), BfS (Germany), Keyx (UK)


September 2006 - September 2009


STREP (Specific targeted research project).
IST call 5 FP6-2005-IST-5
INTAMAP: INTeroperability and Automated MAPping

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