C. Bucur, A. Popa
Diffusion (Ds) and distribution coefficients (Kd) are crucial for assessing the migration of radionuclides through geological media intended for the disposal of low and intermediate level radioactive waste. This study investigates the geological medium and groundwater characteristics relevant to the experimental determination of Ds and Kd. Samples were collected from the drilling conducted at the Saligny site, a candidate for waste disposal. The research emphasizes the necessity of characterizing the physical, chemical, hydrological, geochemical properties, and radionuclide migration behaviors at the selected site as vital input for safety assessments. Results indicated that the distribution coefficient values for Cs-137 in loess layers are significantly lower than those in clay layers, while for Co-60, the values remain consistent across soil types. Notably, diffusion coefficients for Cs-137 and Co-60 were found to be notably higher in loess compared to clay layers. The findings suggest that clay formations demonstrate effective sorption capabilities, potentially serving as a natural barrier to radionuclide migration from disposal facilities. Consequently, these results align well with existing literature for comparable soil types and concentration ranges.
@article{e9627185-6cca-4134-bd39-a19e6dc658e7,
title={DIFFUSION COEFFICIENTS OF CRITICAL RADIONUCLIDES FROM RADIOACTIVE WASTE IN GEOLOGICAL MEDIUM},
author={C. Bucur and A. Popa},
year={2000},
language={en}
}TY - JOUR TI - DIFFUSION COEFFICIENTS OF CRITICAL RADIONUCLIDES FROM RADIOACTIVE WASTE IN GEOLOGICAL MEDIUM AU - C. Bucur AU - A. Popa PY - 2000 LA - en ER -
Chiranjib Kumar Gupta
This book provides a comprehensive overview of the field of chemical metallurgy, addressing both common and less common metals. The objective of the v
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
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
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
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati
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