Integrated Repository Science for the Long-Term Prediction of Nuclear Waste Disposal

2010 ◽  
pp. 381-404
Author(s):  
Patricia Paviet-Hartmann ◽  
Thomas Hartmann
Keyword(s):  
Nuclear Waste ◽  
Waste Disposal ◽  
Nuclear Waste Disposal ◽  
Term Prediction ◽  
Long Term Prediction

Monitoring deep subsurface microbiota for assessment of safe long-term nuclear waste disposal

1996 ◽  
Vol 42 (4) ◽  
pp. 375-381 ◽  
Author(s):  
David C. White ◽  
David B. Ringelberg
Keyword(s):  
Nuclear Waste ◽  
Waste Disposal ◽  
Nuclear Waste Disposal ◽  
Physiological Status ◽  
Deep Subsurface ◽  
Long Term Storage ◽  
Lipid Biomarker ◽  
Potential Problems

Microbes with their resistance to heat and radioactivity, if present and metabolically active, could have major effects on the safety of nuclear waste disposal by posing potential problems in long-term containment. This paper reviews the applicability of the signature lipid biomarker (SLB) analysis in the quantitative assessment of the viable biomass, community composition, and nutritional/physiological status of the subsurface microbiota as it exists in situ in subsurface samples. The samples described in this review are not unlike those expected to be recovered from proposed deep subsurface disposal sites. Assessment of the microbial community ecology using SLB analysis can be utilized to predict potential problems engendered by microbial metabolic activities of these communities in breaching containment by microbially facilitated corrosion and in the potential for subsequent facilitated transport of nuclides into the environment. SLB analysis of the in situ microbial ecology can be utilized to monitor the feasibility of containment options in modeling tests at the specific disposal sites.Key words: nuclear waste, deep subsurface, microbiota, microbial corrosion, safe long-term storage, signature lipid biomarkers.

Impact of microbial activity on the radioactive waste disposal: long term prediction of biocorrosion processes

2014 ◽  
Vol 97 ◽  
pp. 162-168 ◽  
Author(s):  
Marie Libert ◽  
Marta Kerber Schütz ◽  
Loïc Esnault ◽  
Damien Féron ◽  
Olivier Bildstein
Keyword(s):  
Radioactive Waste ◽  
Microbial Activity ◽  
Waste Disposal ◽  
Radioactive Waste Disposal ◽  
Term Prediction ◽  
Long Term Prediction
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