Uncertainty Analyses in Environmental Sciences and Hydrogeology

Uncertainty Analyses in Environmental Sciences and Hydrogeology
Author: Rachid Ababou
Publisher: Springer Nature
Total Pages: 103
Release: 2024-01-21
Genre: Computers
ISBN: 9819962412

This book highlights several methods and quantitative implementations of both probabilistic and fuzzy-based approaches to uncertainty quantification and uncertainty propagation through environmental subsurface pollution models with uncertain input parameters. The book focuses on methods as well as applications in hydrogeology, soil hydrology, groundwater contamination, and related areas (e.g., corrosion of nuclear waste canisters). The methods are illustrated for a broad spectrum of models, from non-differential I/O models to complex PDE solvers, including a novel 3D quasi-analytical model of contaminant transport, and a site-specific computer model of dissolved contaminant migration from a DNAPL (Dense Non Aqueous Phase Liquid) pollution source.

Strategy and Methodology for Radioactive Waste Characterization

Strategy and Methodology for Radioactive Waste Characterization
Author: International Atomic Energy Agency
Publisher: IAEA
Total Pages: 188
Release: 2007
Genre: Business & Economics
ISBN:

Over the past decade significant progress has been achieved in the development of waste characterization and control procedures and equipment as a direct response to ever-increasing requirements for quality and reliability of information on waste characteristics. Failure in control procedures at any step can have important, adverse consequences and may result in producing waste packages which are not compliant with the waste acceptance criteria for disposal, thereby adversely impacting the repository. The information and guidance included in this publication corresponds to recent achievements and reflects the optimum approaches, thereby reducing the potential for error and enhancing the quality of the end product. -- Publisher's description.

Uncertainty Analysis of Nondestructive Assay Measurements of Nuclear Waste

Uncertainty Analysis of Nondestructive Assay Measurements of Nuclear Waste
Author:
Publisher:
Total Pages:
Release: 1998
Genre:
ISBN:

Regulatory agencies governing the disposal of nuclear waste require that the waste be appropriately characterized prior to disposition. The most important aspect of the characterization process, establishing radionuclide content, is often achieved by nondestructive assay (NDA). For NDA systems to be approved for use in these applications, measurement uncertainty must be established. Standard propagation of errors methods provide a good starting point for considering the uncertainty analysis of NDA systems for nuclear waste. However, as compared with other applications (e.g., nuclear material accountability), using NDA systems for nuclear waste measurements presents some unique challenges. These challenges, stemming primarily from the diverse nature of the waste materials encountered, carry over into the uncertainty analysis as well. This paper reviews performance measures appropriate for the assessment of NDA uncertainty, describes characteristics of nuclear waste measurements that contribute to difficulties in assessing uncertainty, and outlines some statistics based methods for incorporating variability in waste characteristics in an uncertainty analysis.

Concepts Involved in a Proposed Application of Uncertainty Analysis to the Performance Assessment of High-level Nuclear Waste Isolation Systems

Concepts Involved in a Proposed Application of Uncertainty Analysis to the Performance Assessment of High-level Nuclear Waste Isolation Systems
Author:
Publisher:
Total Pages:
Release: 1986
Genre:
ISBN:

This report introduces the concepts of a previously developed methodology which could readily be extended to the field of performance assessment for high-level nuclear waste isolation systems. The methodology incorporates sensitivities previously obtained with the GRESS code into an uncertainty analysis, from which propagated uncertainties in calculated responses may be derived from basic data uncertainties. Following a definition of terms, examples are provided illustrating commonly used conventions for describing the concepts of covariance and sensitivity. Examples of solutions to problems previously encountered in related fields involving uncertainty analysis and use of a generalized linear least-squares adjustment procedure are also presented. 5 refs., 14 tabs.