ML18107A147: Difference between revisions
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| issue date = 04/13/2018 | | issue date = 04/13/2018 | ||
| title = Environmental Modeling and Monitoring for Risk-Informed Performance-Based Assessments Presentation Slides for the Interagency Collaborative on Environmental Modeling and Monitoring (Icemm) Annual Public Meeting, April 24 - 25, 2018 at the U | | title = Environmental Modeling and Monitoring for Risk-Informed Performance-Based Assessments Presentation Slides for the Interagency Collaborative on Environmental Modeling and Monitoring (Icemm) Annual Public Meeting, April 24 - 25, 2018 at the U | ||
| author name = Nicholson T | | author name = Nicholson T | ||
| author affiliation = NRC/RES/DRA | | author affiliation = NRC/RES/DRA | ||
| addressee name = | | addressee name = | ||
Revision as of 10:20, 17 June 2019
| ML18107A147 | |
| Person / Time | |
|---|---|
| Issue date: | 04/13/2018 |
| From: | Thomas Nicholson NRC/RES/DRA |
| To: | |
| References | |
| Download: ML18107A147 (22) | |
Text
Environmental Modeling and Monitoring for Risk-Informed Performance-Based Assessments Thomas NicholsonOffice of Nuclear Regulatory ResearchGeorge Alexander and David EshOffice of Nuclear Material Safety and Safeguards
Environmental Qualification ambient conditions that could exist when the specific function to be performed by the equipment is actually called upon to be performed under accident conditions.examples: ground-and surface-water flooding, seismic events Safety-Significantan impact on safety, whether determined through risk analysis or other means, that exceeds a predetermined significance criterionexamples: ability of ground-water units to attenuate radionuclides; engineered covers; spent fuel pools; subsurface pipes and drains is the concept of couplinginformation sources, as temporal and spatial data, from a wide variety of monitoring programs and their instrumentation, to the model which quantitatively analyses and simulates the system of concern.involves the active processing and synthesizing of various data sources into a unified model database, and where the model informs the monitoring programs as to what, when, where and how the data is to be obtained and translated into modeling assumptions and inputs such as boundary conditions and parameters.are quantitative measures of the operation of a system and/or subsystems, both engineered and natural, that shows how it is performing when measured against established
thresholds.
A quantitative measure of the operation of a system and/or subsystems, both engineered and natural, that shows how it is performing when measured against established thresholds.
Risk-informed decision-making Monitoring and Model Data Fusion
A quantitative measure of the operation of a system and/or subsystems, both engineered and natural, that shows how it is performing when measured against established thresholds.