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Second SC5 pilot identifying the release location of a substance


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Presented by Andreas Ikonomopoulos (NCSR-Demokritos) during the 2nd BDE SC5 workshop, 11 October 2016, in Brussels, Belgium

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Second SC5 pilot identifying the release location of a substance

  2. 2. ContentContent  Environment contamination  The Chernobyl plumey p  The Algeciras plume  Th F k hi l The Fukushima plume  Problem definition  Leveraging BDE  Issues to be explored Issues to be explored
  3. 3. Environment contaminationEnvironment contamination
  4. 4. DepositionDeposition Wet deposition Dry deposition
  5. 5. Exposure pathwaysExposure pathways Cloudshine Inhalation Ingestion Groundshine
  6. 6. FactorsFactors  Climate and weather are important factors affecting accident consequences  In the absence of rain dry deposition takes place o radioactive particles settle under the influence ofo radioactive particles settle under the influence of gravity, wind and turbulence  Snow and rain result Snow and rain result in wet deposition SSource: Documents/IRSN_Fukushima-Environment- consequences_28022012.pdf
  7. 7. The Chernobyl plumeThe Chernobyl plume  At 01:23 on 26/4/1986 a severe accident took place at Chernobyl-4 nuclear power plant  Atmospheric dispersion models were applied to the 137Cs atmospheric releasep o The meteorological conditions in Europe following the accident were reconstructedacc de we e eco s uc ed Source:
  8. 8. Source:
  9. 9. Source:
  10. 10. The Algeciras plumeThe Algeciras plume HYSPLIT simulation of 137Cs dispersion between 0 and 500m altitude every 3 hours over a 3-day period. Source: p y y p It is presumed that the source (red dot) emits 100 Bq between 00:00 and 03:00 on May 30, 1998.
  11. 11. The Fukushima plumeThe Fukushima plume  At 14:46 on 11/3/2011 the Tohoku-Chihou- Taiheiyo-Oki earthquake rocked Fukushima Daiichi nuclear power station  An hour later a tsunami invaded the site  Hydrogen explosions E l ti di th F k hi D ii hi Explanations regarding the Fukushima Daiichi accident consequences on the environment appear h // i f /EN/ bli i / h iat: safety/fukushima/Pages/2-fukushima- understanding-environment.aspx
  12. 12. Issue at handIssue at hand  Release of a hazardous substance in the atmosphere  Support the decision making process for countermeasure takingg  Estimation of consequences on: h manso humans o environment
  13. 13. Problem statementProblem statement  Identify the release location of a substance  Available information: o Measurements of the substance level at certain locations o Current weather conditions o Past weather conditionso Past weather conditions
  14. 14. Current approachesCurrent approaches  Computational approach: o work backwards – inverse modelling – from the current atmospheric conditions to estimate source location  Long computation times required, especially forg p q , p y complex cases o complicated topographyo complicated topography o weather conditions
  15. 15. Leveraging BDELeveraging BDE  Use BDE to manage: o A large number of pre-computed dispersion data o Historical atmospheric conditions  In this manner: In this manner: o The computationally hardest part is pre-computed M t hi t t h i diti t tho Matching current atmospheric conditions to the pre- computed cases formulates a smaller problem
  16. 16. The computational essenceThe computational essence  Match current weather against a database of historical atmospheric conditions by: o Building upon the NetCDF data management and searching tools created during the first SC5 pilot o Encoding weather patterns onto maps  Weather similarity  map/image similarity o Developing operators that search 7 consecutive hourly slices for similar weather
  17. 17. Preliminary architecturePreliminary architecture Transparent ingestion and exporting of NetCDF dataNetCDF data W3C PROV Analytics on climate data SC5 NetCDF tools SC7 image/map change detection tools? Apache Hive Hadoop MapReduce Spark Apache HDFS
  18. 18. Open issuesOpen issues  Open issues to be investigated during the pilot implementation: o What exactly does “similar enough weather” mean for this pilot purposes? o What volumes need to be pre-computed to always have in the database “similar enough weather”? o Are these volumes manageable and searchable?
  19. 19. Questions?Questions?  BigDataEurope Web site:  Thank you for your attention!