PDF

Geochemical far-field processes in performance assessment

U. NOSECK, L. LOHRMANN

1999deradioactive wasteperformance assessmentgeochemistrycontaminant transportrepository

Abstract

Language:

The release and transport of radionuclides from underground repositories into the biosphere is influenced by geochemical processes and geological barriers, which play a crucial role in ensuring long-term safety. This study aims to provide an overview of recent advancements in modeling nonlinear sorption processes and colloid-facilitated contaminant transport and to assess the impact of these geochemical mechanisms on performance assessments for radioactive waste repositories. The methodology involves the application of models and data derived primarily from laboratory experiments, despite their inherent time limitations compared to the millennia-scale transport times required for thorough geosphere evaluations. To bridge this knowledge gap, investigations into geological analogues are suggested as a means to deepen understanding of the transport and retention of radionuclides under natural conditions, and to evaluate the applicability of laboratory findings to real-world scenarios. Ultimately, the paper highlights the importance of integrated computer codes, such as EMOS, in simulating contaminant dynamics and radiation exposure while emphasizing the role of geological formations in acting as barriers to nuclide transport into the biosphere.

Download

Cite This Work

@article{252fd36a-b193-4153-8199-9a497e207346,
  title={Geochemical far-field processes in performance assessment},
  author={U. NOSECK and L. LOHRMANN},
  year={1999},
  language={de}
}
TY  - JOUR
TI  - Geochemical far-field processes in performance assessment
AU  - U. NOSECK
AU  - L. LOHRMANN
PY  - 1999
LA  - de
ER  -

Similar Items

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

Metallurgical Plant Design and Operating Strategies

The Australasian Institute of Mining and Metallurgy

This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg

2006enPDF

Metallurgical Plant Design and Operating Strategies

David Pollard, Geoff Dunlop

The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati

2008enPDF

Metallurgical Plant Design and Operating Strategies

P Card, J Canterford

This document presents a collection of papers from the METPLANT 2011 conference focusing on metallurgical plant design and operating strategies. The o

2011enPDF

Plant auditing: a powerful tool for improving metallurgical plant performance

Deepak Malhotra

This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id

2015enPDF