Radioactive Waste Disposal i HydrologicallyChallenged 在水文挑战放射性废物处置.pptVIP

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Radioactive Waste Disposal i HydrologicallyChallenged 在水文挑战放射性废物处置.ppt

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Radioactive Waste Disposal i HydrologicallyChallenged 在水文挑战放射性废物处置

12 Dec 2006 Radioactive Waste Disposal in Hydrologically-Challenged Environments:Opportunities for Waste Disposal Resource Optimization Presentation Outline Nevada Test Site as a Waste Disposal Resource NTS is in the Basin and Range of NV Nearly 1000 Tests at Yucca Flat The Area 3 RWMS The Area 5 RWMS Mechanisms Controlling Exposure and Potential Dose Engineering Controls Mathematical Coupling of Modeled Processes Probabilistic Analysis Regulatory Compliance:A common reason for assessment Resource Optimization:A new reason for assessment Optimization of Operations Conclusions AGU ? Fall 2006 Meeting Neptune and Company, Inc. John Tauxe, PhD, PE and Paul Black, PhD /~jtauxe/agu06 introduction of the disposal resource identification of exposure mechanisms mathematical coupling probabilistic analysis modeling for regulatory compliance modeling for resource optimization conclusions remotely sited unmatched performance permitted operations radioactive waste is an insignificant addition to existing contamination from weapons testing Frenchman Flat Yucca Flat Area 5 RWMS In Yucca Flat In Frenchman Flat radon diffusivity and emanation factor ant activity cover thickness environmental fate and transport human behaviors site access and occupancy inhalation rate active controls: ? signs, fences ? security force passive controls: ? site knowledge ? cover thickness ? barriers photo copyright George Steinmetz Physical processes are modeled as coupled partial differential equations: radioactive decay and ingrowth gaseous diffusion aqueous diffusion aqueous advection bioturbation plant uptake and redistribution soil/water chemical partitioning air/water partitioning chemical solubility atmospheric resuspension modeling parameters are defined stochastically, capturing uncertainty Monte Carlo is handled by GoldSim* sensitivity analysis performed on results sensitive parameters are identified value-of-information analysis performed revisions through Bayesian updating *GoldSim i