中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessment of uncertainty in discrete fracture network modeling using probabilistic distribution method

文献类型:期刊论文

作者Wei, Yaqiang1,2; Dong, Yanhui1,3; Yeh, Tian-Chyi J.4; Li, Xiao1; Wang, Liheng1; Zha, Yuanyuan5
刊名WATER SCIENCE AND TECHNOLOGY
出版日期2017-11-01
卷号76期号:10页码:2802-2815
关键词Dfn Fracture Groundwater Probability Uncertainty
ISSN号0273-1223
DOI10.2166/wst.2017.451
文献子类Article
英文摘要There have been widespread concerns about solute transport problems in fractured media, e.g. the disposal of high-level radioactive waste in geological fractured rocks. Numerical simulation of particle tracking is gradually being employed to address these issues. Traditional predictions of radioactive waste transport using discrete fracture network (DFN) models often consider one particular realization of the fracture distribution based on fracture statistic features. This significantly underestimates the uncertainty of the risk of radioactive waste deposit evaluation. To adequately assess the uncertainty during the DFN modeling in a potential site for the disposal of high-level radioactive waste, this paper utilized the probabilistic distribution method (PDM). The method was applied to evaluate the risk of nuclear waste deposit in Beishan, China. Moreover, the impact of the number of realizations on the simulation results was analyzed. In particular, the differences between the modeling results of one realization and multiple realizations were demonstrated. Probabilistic distributions of 20 realizations at different times were also obtained. The results showed that the employed PDM can be used to describe the ranges of the contaminant particle transport. The high-possibility contaminated areas near the release point were more concentrated than the farther areas after 5E6 days, which was 25,400 m(2).
WOS关键词GROUND-WATER FLOW ; YUCCA MOUNTAIN ; RADIONUCLIDE TRANSPORT ; REACTIVE TRANSPORT ; SOLUTE TRANSPORT ; TRACER TRANSPORT ; CONTINUUM MODEL ; BEISHAN AREA ; FLUID-FLOW ; MEDIA
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Water Resources
语种英语
WOS记录号WOS:000415999900024
出版者IWA PUBLISHING
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences(XDB10030601) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB10030601) ; National Natural Science Foundation of China(41202182) ; National Natural Science Foundation of China(41202182) ; Youth Innovation Promotion Association CAS(2016063) ; Youth Innovation Promotion Association CAS(2016063) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB10030601) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB10030601) ; National Natural Science Foundation of China(41202182) ; National Natural Science Foundation of China(41202182) ; Youth Innovation Promotion Association CAS(2016063) ; Youth Innovation Promotion Association CAS(2016063) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB10030601) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB10030601) ; National Natural Science Foundation of China(41202182) ; National Natural Science Foundation of China(41202182) ; Youth Innovation Promotion Association CAS(2016063) ; Youth Innovation Promotion Association CAS(2016063) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB10030601) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB10030601) ; National Natural Science Foundation of China(41202182) ; National Natural Science Foundation of China(41202182) ; Youth Innovation Promotion Association CAS(2016063) ; Youth Innovation Promotion Association CAS(2016063)
源URL[http://ir.iggcas.ac.cn/handle/132A11/82054]  
专题中国科学院地质与地球物理研究所
通讯作者Dong, Yanhui
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, POB 9825, Beijing 100029, Peoples R China
2.ZheJiang Elect Power Design Inst Co Ltd, China Energy Engn Grp, Hangzhou 310012, Zhejiang, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Arizona, Dept Hydrol & Water Resources, POB 210011, Tucson, AZ 85721 USA
5.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R China
推荐引用方式
GB/T 7714
Wei, Yaqiang,Dong, Yanhui,Yeh, Tian-Chyi J.,et al. Assessment of uncertainty in discrete fracture network modeling using probabilistic distribution method[J]. WATER SCIENCE AND TECHNOLOGY,2017,76(10):2802-2815.
APA Wei, Yaqiang,Dong, Yanhui,Yeh, Tian-Chyi J.,Li, Xiao,Wang, Liheng,&Zha, Yuanyuan.(2017).Assessment of uncertainty in discrete fracture network modeling using probabilistic distribution method.WATER SCIENCE AND TECHNOLOGY,76(10),2802-2815.
MLA Wei, Yaqiang,et al."Assessment of uncertainty in discrete fracture network modeling using probabilistic distribution method".WATER SCIENCE AND TECHNOLOGY 76.10(2017):2802-2815.

入库方式: OAI收割

来源:地质与地球物理研究所

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