Improving evaluation criteria for monitoring networks of weak radioactive plumes after nuclear emergencies

Networks of monitoring stations have been set up in many European countries to detect the passage of a radioactive cloud in the event of a large-scale nuclear emergency. The layout and spatial density of these networks differs according to the needs and criteria defined by national authorities. Germany and the Netherlands decided to set up relatively dense networks for the detection of weak radioactive plumes and, additionally, environmental radioactivity from deposited aerosols. Plausible evaluation criteria are presented here to assess important properties which determine the reliability and efficiency of sections of these networks. As a test case the existing sampling design of the Dutch and German networks with 193 sensors in an area of 200 km around the nuclear power plant near the city of Lingen (Emsland) in the German federal state of Lower Saxony has been selected. For a hypothetical accident scenario 292 radioactive plumes have been simulated which are shaped by recorded weather conditions of the year 2007. To quantify the network performance frequency distributions of the proposed evaluation parameters have been analyzed. Simulation results show that 95% of the plumes are detected within 4 h after the release. Maximal values of the γ-dose rate 1 m above the ground mostly occur near the source within a radius of 5 km. However, under certain weather conditions maximal ground values may also be found more than 50 km away from the source. Within a circle of radius 90 km 98% of the recorded maximal γ-dose rates of the plumes were found by 62% of the 193 sensors. But only in a joint network of German and Dutch sensors all simulated plumes triggered an alarm. This result encourages efforts of close international collaboration, e.g. between EU member states, in network design and operation. Test series which involved the removal of sensors either randomly or in a controlled way showed that the network configuration is fit for the intended purpose of detecting a large majority of plumes. But already a small reduction in the number of sensors would degrade the performance. Whereas the joint network triggers alarms reliably, it fails to detect the true plume maxima. The assessment criteria can be used for a revision of existing networks or for planning purposes in countries such as those applying for EU membership.

[1]  Gerard B. M. Heuvelink,et al.  Optimizing the spatial pattern of networks for monitoring radioactive releases , 2011, Comput. Geosci..

[2]  Rudolf Engelbrecht,et al.  State of the art of standard methods used for environmental radioactivity monitoring. , 2008, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[3]  Torben Mikkelsen,et al.  Description of the riso puff diffusion model , 1984 .

[4]  Michael Hopmeier,et al.  SOME CONSIDERATIONS FOR MASS CASUALTY MANAGEMENT IN RADIATION EMERGENCIES , 2010, Health physics.

[5]  Edzer J. Pebesma,et al.  Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network , 2009, Comput. Geosci..

[6]  Fritz Schmidt,et al.  Re-engineering IMIS, the German integrated system for measuring and assessing environmental radioactivity , 2000, Environ. Model. Softw..

[7]  Marc Bocquet,et al.  Targeting of observations for accidental atmospheric release monitoring , 2009 .

[8]  Jürgen Pilz,et al.  INTAMAP: The design and implementation of an interoperable automated interpolation web service , 2011, Comput. Geosci..

[9]  Sven-Erik Gryning,et al.  Air pollution modeling and its application , 1981 .

[10]  Torben Mikkelsen,et al.  Planning sensor locations for the detection of radioactive plumes for Norway and the Balkans , 2011 .

[11]  James V. Zidek,et al.  Designing environmental monitoring networks to measure extremes , 2007, Environmental and Ecological Statistics.

[12]  Gerard B. M. Heuvelink,et al.  Optimization of mobile radioactivity monitoring networks , 2010, Int. J. Geogr. Inf. Sci..

[13]  L. Sombré,et al.  Overview of the Belgian programme for the surveillance of the territory and the implications of the international recommendations or directives on the monitoring programme. , 2004, Journal of environmental radioactivity.

[14]  M. Bossard,et al.  CORINE land cover technical guide - Addendum 2000 , 2000 .

[15]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[16]  G. Heuvelink,et al.  Using rainfall radar data to improve interpolated maps of dose rate in the Netherlands. , 2010, The Science of the total environment.

[17]  H. Dombrowski,et al.  EURADOS intercomparison 2006 to harmonise European early warning dosimetry systems. , 2009, Radiation protection dosimetry.

[18]  Marc Bocquet,et al.  Design of a monitoring network over France in case of a radiological accidental release , 2008 .