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Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks
Underground nuclear weapon testing produces radionuclide gases which may seep to the surface. Barometric pumping of gas through explosion-fractured rock is investigated using a new sequentially-coupled hydrodynamic rock damage/gas transport model. Fracture networks are produced for two rock types (g...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682097/ https://www.ncbi.nlm.nih.gov/pubmed/26676058 http://dx.doi.org/10.1038/srep18383 |
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author | Jordan, Amy B. Stauffer, Philip H. Knight, Earl E. Rougier, Esteban Anderson, Dale N. |
author_facet | Jordan, Amy B. Stauffer, Philip H. Knight, Earl E. Rougier, Esteban Anderson, Dale N. |
author_sort | Jordan, Amy B. |
collection | PubMed |
description | Underground nuclear weapon testing produces radionuclide gases which may seep to the surface. Barometric pumping of gas through explosion-fractured rock is investigated using a new sequentially-coupled hydrodynamic rock damage/gas transport model. Fracture networks are produced for two rock types (granite and tuff) and three depths of burial. The fracture networks are integrated into a flow and transport numerical model driven by surface pressure signals of differing amplitude and variability. There are major differences between predictions using a realistic fracture network and prior results that used a simplified geometry. Matrix porosity and maximum fracture aperture have the greatest impact on gas breakthrough time and window of opportunity for detection, with different effects between granite and tuff simulations highlighting the importance of accurately simulating the fracture network. In particular, maximum fracture aperture has an opposite effect on tuff and granite, due to different damage patterns and their effect on the barometric pumping process. From stochastic simulations using randomly generated hydrogeologic parameters, normalized detection curves are presented to show differences in optimal sampling time for granite and tuff simulations. Seasonal and location-based effects on breakthrough, which occur due to differences in barometric forcing, are stronger where the barometric signal is highly variable. |
format | Online Article Text |
id | pubmed-4682097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46820972015-12-18 Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks Jordan, Amy B. Stauffer, Philip H. Knight, Earl E. Rougier, Esteban Anderson, Dale N. Sci Rep Article Underground nuclear weapon testing produces radionuclide gases which may seep to the surface. Barometric pumping of gas through explosion-fractured rock is investigated using a new sequentially-coupled hydrodynamic rock damage/gas transport model. Fracture networks are produced for two rock types (granite and tuff) and three depths of burial. The fracture networks are integrated into a flow and transport numerical model driven by surface pressure signals of differing amplitude and variability. There are major differences between predictions using a realistic fracture network and prior results that used a simplified geometry. Matrix porosity and maximum fracture aperture have the greatest impact on gas breakthrough time and window of opportunity for detection, with different effects between granite and tuff simulations highlighting the importance of accurately simulating the fracture network. In particular, maximum fracture aperture has an opposite effect on tuff and granite, due to different damage patterns and their effect on the barometric pumping process. From stochastic simulations using randomly generated hydrogeologic parameters, normalized detection curves are presented to show differences in optimal sampling time for granite and tuff simulations. Seasonal and location-based effects on breakthrough, which occur due to differences in barometric forcing, are stronger where the barometric signal is highly variable. Nature Publishing Group 2015-12-17 /pmc/articles/PMC4682097/ /pubmed/26676058 http://dx.doi.org/10.1038/srep18383 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Jordan, Amy B. Stauffer, Philip H. Knight, Earl E. Rougier, Esteban Anderson, Dale N. Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks |
title | Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks |
title_full | Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks |
title_fullStr | Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks |
title_full_unstemmed | Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks |
title_short | Radionuclide Gas Transport through Nuclear Explosion-Generated Fracture Networks |
title_sort | radionuclide gas transport through nuclear explosion-generated fracture networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682097/ https://www.ncbi.nlm.nih.gov/pubmed/26676058 http://dx.doi.org/10.1038/srep18383 |
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