Using the particle filter for nuclear decision support

Environmental Modelling and Software

Volumn 37, Issue , 2012, Pages 78-89

  Hiemstra, Paul H ^a   Karssenberg, Derek ^a   van Dijk, Arjan ^b   de Jong, Steven M ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

^b NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

Author keywords

Data assimilation; Monte Carlo; Nuclear accidents; Particle filter; Spatial aggregation; Threshold exceedance

Indexed keywords

DATA ASSIMILATION; MONTE CARLO; NUCLEAR ACCIDENTS; PARTICLE FILTER; SPATIAL AGGREGATION; THRESHOLD EXCEEDANCE;

DECISION SUPPORT SYSTEMS; FORECASTING; MONTE CARLO METHODS; NUCLEAR REACTOR ACCIDENTS; PROBABILITY DENSITY FUNCTION; UNCERTAINTY ANALYSIS;

NONLINEAR FILTERING;

ACCURACY ASSESSMENT; DATA ASSIMILATION; DECISION MAKING; DECISION SUPPORT SYSTEM; ENSEMBLE FORECASTING; MONTE CARLO ANALYSIS; NUCLEAR ACCIDENT; NUMERICAL MODEL; PARTICLE SIZE; POLLUTANT TRANSPORT; REAL TIME; UNCERTAINTY ANALYSIS;

EID: 84861927644     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2012.03.003     Document Type: Article

References (40)

1. Bader S. Nederlandse interventie niveaus bij kernongevallen 2010, Tech. rep., RIVM 610790012/2010 (in Dutch).
2. Boender C., de Graan J., Lootsma F. Multi-criteria decision analysis with fuzzy pairwise comparisons. Fuzzy Sets and Systems 1989, 29(2):133-143.
3. Brandt J., Christensen J., Frohn L., Zlatev Z. Numerical modelling of transport, dispersion, and deposition - validation against etex-1, etex-2 and chernobyl. Environmental Modelling and Software 2000, 15(6-7 SPEC. ISS):521-531.
4. Briggs A., Goeree R., Blackhouse G., O'Brien B. Probabilistic analysis of cost-effectiveness models: choosing between treatment strategies for gastroesophageal reflux disease. Medical Decision Making 2002, 22(4):290-308.
5. Cloke H., Pappenberger F. Ensemble flood forecasting: a review. Journal of Hydrology 2009, 375(3-4):613-626.
6. Draxler R. Evaluation of an ensemble dispersion calculation. Journal of Applied Meteorology 2003, 42(2):308-317.
7. Eleveld H., Kok Y.S., Twenhofel C.J. Data assimilation, sensitivity and uncertainty analyses in the dutch nuclear emergency management system: a pilot study. International Journal of Emergency Management 2007, 4(3):551-563.
8. Geldermann J., Bertsch V., Treitz M., French S., Papamichail K., Hmlinen R. Multi-criteria decision support and evaluation of strategies for nuclear remediation management. Omega 2009, 37(1):238-251.
9. Gering F. Correction of deposition predictions with data assimilation. Kerntechnik 2007, 72(4):222225.
10. Gordon N., Salmond D., Smith A. Novel approach to nonlinear/non-gaussian bayesian state estimation. Radar and Signal Processing, IEE Proceedings F Aug. 1993, 140(2):107-113.
11. Hiemstra P.H., Pebesma E.J., Twenhöfel C.J.W., Heuvelink G.B.M. Real-time automatic interpolation of ambient gamma dose rates from the dutch radioactivity monitoring network. Computers & Geosciences 2009, 35(8):1711-1721.
12. Hiemstra P.H., Karssenberg D., van Dijk A. Assimilation of observations of radiation level into an atmospheric transport model: a case study with the particle filter and the etex tracer dataset. Atmospheric Environment 2011, 45(34):6149-6157.
13. Hopmeier M., Abrahams J., Carr Z. Some considerations for mass casualty management in radiation emergencies. Health Physics 2010, 98(6):790-794.
14. Iba Y. Population Monte Carlo algorithms. Transactions of the Japanese Society for Artificial Intelligence 2001, 16(2):279-286.
15. Quantities and Units in Radiation Protection Dosimetry 1993, ICRU, ICRU report 51, Tech. rep., Bethesda MD.
16. Karssenberg D., Schmitz O., Salamon P., de Jong K., Bierkens M. A software framework for construction of process-based stochastic spatio-temporal models and data assimilation. Environmental Modelling and Software 2010, 25(4):489-502.
17. Krzysztofowicz R. Bayesian theory of probabilistic forecasting via deterministic hydrologic model. Water Resources Research 1999, 35(9):2739-2750.
18. McDonald C. Editorial-on the proper use of quantities and units. Radiation Protection Dosimetry 2001, 97(3):211.
19. Nodop K., Connolly R., Girardi F. The field campaigns of the European tracer experiment (etex): overview and results. Atmospheric Environment Dec. 1998, 32(24):4095-4108.
20. Owens J., Houston M., Luebke D., Green S., Stone J., Phillips J. Gpu computing. Proceedings of the IEEE 2008, 96(5):879-899.
21. Pebesma E., De Kwaadsteniet J. Mapping groundwater quality in the Netherlands. Journal of Hydrology 1997, 200(1-4):364-386.
22. Pfeffer K. Integrating Spatio-temporal Environmental Models for Planning Ski Runs 2003.
23. Rao K., Hosker R. Uncertainty in the assessment of atmospheric concentrations of toxic contaminants from an accidental release. Radiation Protection Dosimetry 1993, 50(2-4):281-288.
24. Rasmussen N.C. Reactor Safety Study. An Assessment of Accident Risks in U.S. Commercial Nuclear Power Plants. Executive Summary 1975, Tech. Rep., Federal Government of the United States, U.S. Nuclear Regulatory Commission.
25. Risfic B., Arulampalam S., Gordon N. Beyond the Kalman Filter: Particle Filters for Tracking Applications 2004, Artech House, Norwell, Massachusetts.
26. Rojas-Palma C., Madsen H., Gering F., Puch R., Turcanu C., Astrup P., Mller H., Richter K., Zheleznyak M., Treebushny D., Kolomeev M., Kamaev D., Wynn H. Data assimilation in the decision support system rodos. Radiation Protection Dosimetry 2003, 104(1):31-40.
27. Roulston M., Bolton G., Kleit A., Sears-Collins A. A laboratory study of the benefits of including uncertainty information in weather forecasts. Weather and Forecasting 2006, 21(1):116-122.
28. Simon D. Optimal State Estimation: Kalman, H-infinity, and Nonlinear Approaches 2006, John Wiley & Sons.
29. Smith L. Disentangling Uncertainty and Error: On the Predictability of Nonlinear Systems 2000, Birkhauser.
30. Snyder C., Bengtsson T., Bickel P., Anderson J. Obstacles to high-dimensional particle filtering. Monthly Weather Review Dec. 2008, 136(12):4629-4640. URL:. http://dx.doi.org/10.1175/2008MWR2529.1.
31. Tamiz M., Jones D., Romero C. Goal programming for decision making: an overview of the current state-of-the-art. European Journal of Operational Research 1998, 111(3):569-581.
32. Twenhöfel C.J.W., de Hoog van Beynen C., van Lunenburg A.P.P.A., Slagt G.J.E., Tax R.B., van Westerlaak P.J.M., Aldenkamp F.J. Operation of the Dutch 3rd Generation National Radioactivity Monitoring Network. Automatic Mapping Algorithms for Routine and Emergency Monitoring Data. Report on the Spatial Interpolation Comparison (SIC2004) exercise 2005, 19-31. Office for Official Publications of the European Communities, Luxembourg. G. Dubois (Ed.).
33. van Leeuwen P. Particle filtering in geophysical systems. Monthly Weather Review 2009, 137(12):4089-4114.
34. van Velzen N., Segers A. A problem-solving environment for data assimilation in air quality modelling. Environmental Modelling & Software Mar. 2010, 25(3):277-288.
35. Verver G., De Leeuw F. An operational puff dispersion model. Atmospheric Environment. Part A. General Topics Dec. 1992, 26(17):3179-3193.
36. Warmink J., Janssen J., Booij M., Krol M. Identification and classification of uncertainties in the application of environmental models. Environmental Modelling & Software 2010, 25(12):1518-1527.
37. Weijs S.V., Schoups G., van de Giesen N. Why hydrological forecasts should be evaluated using information theory. Hydrology and Earth System Sciences Discussions 2010, 7(4):4657-4685.
38. Wendum D. Three long-range transport models compared to the etex experiment: a performance study. Atmospheric Environment 1998, 32(24):4297-4305.
39. Zheng D., Leung J., Lee B. Online update of model state and parameters of a Monte Carlo atmospheric dispersion model by using ensemble Kalman filter. Atmospheric Environment 2009, 43(12):2005-2011.
40. Zheng D., Leung J., Lee B. An ensemble Kalman filter for atmospheric data assimilation: application to wind tunnel data. Atmospheric Environment 2010, 44(13):1699-1705.