Numerical modeling of site-scale groundwater flow with stochastic parameterized hydraulic conductivity fields for geological disposal of high-level radioactive waste in China
•First hydrogeological model established for URL site of HLW disposal in China.•The effect of the hydraulic influence zones of faults is incorporated in the numerical model.•Different variations in the horizontal and vertical directions of hydraulic conductivity are considered.•A total of 120 stocha...
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| Veröffentlicht in: | Journal of hydrology (Amsterdam) 2023-11, Vol.626, p.130225, Article 130225 |
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| creator | Zhao, Jingbo Zhou, Zhichao Wang, Ju Ji, Ruili Zhang, Ming Li, Jiebiao |
| description | •First hydrogeological model established for URL site of HLW disposal in China.•The effect of the hydraulic influence zones of faults is incorporated in the numerical model.•Different variations in the horizontal and vertical directions of hydraulic conductivity are considered.•A total of 120 stochastic parameterized models are presented.•Hydraulic conductivity |
| doi_str_mv | 10.1016/j.jhydrol.2023.130225 |
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Deep geological disposal is internationally accepted as a feasible and safe approach for high-level radioactive waste (HLW) disposal. To evaluate hydrogeological conditions in support of safety assessments for HLW disposal at the Xinchang preselected site in China, stochastic inverse models of site-scale groundwater flow were developed in this study to generate highly parameterized hydraulic conductivity fields for the fractured medium by adopting pilot point and null-space Monte Carlo methods. The hydraulic influence zones of the faults were carefully considered to have homogenous parameter values across the zones. A total of 120 multiple random realizations were generated to characterize the 3D spatial variations in hydraulic conductivity by conditioning to 1218 fixed pilot points. The simulated hydraulic heads of the realizations were in good agreement with observational data. The hydraulic conductivity fields close to the boreholes could be characterized in detail and had relatively low uncertainties. Furthermore, the hydraulic conductivity (K) values around underground research laboratory (URL) at the HLW disposal zone depth were less than 10−9 m/s. The K values obtained for most of the influence zones of these faults at this depth were consistent with hydraulic test data and ranged from 10−10 to 10−9 m/s, thereby indicating that the surrounding rock has low permeability and is suitable for HLW disposal. These findings offer new insights into hydrogeological conditions by providing key information on the permeability characteristics that need further focus on HLW disposal.</description><identifier>ISSN: 0022-1694</identifier><identifier>EISSN: 1879-2707</identifier><identifier>DOI: 10.1016/j.jhydrol.2023.130225</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>China ; Fractured rock mass ; groundwater flow ; High-level radioactive waste disposal ; hydraulic conductivity ; Null-space Monte Carlo ; observational studies ; permeability ; Pilot point method ; radioactive waste ; Stochastic inverse models</subject><ispartof>Journal of hydrology (Amsterdam), 2023-11, Vol.626, p.130225, Article 130225</ispartof><rights>2023 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-6e231cf84c2482df5c901c96c0d29ef282b2fa7a2d9ae09c3f6e3249676d43d3</citedby><cites>FETCH-LOGICAL-c342t-6e231cf84c2482df5c901c96c0d29ef282b2fa7a2d9ae09c3f6e3249676d43d3</cites><orcidid>0000-0002-7076-9865</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jhydrol.2023.130225$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids></links><search><creatorcontrib>Zhao, Jingbo</creatorcontrib><creatorcontrib>Zhou, Zhichao</creatorcontrib><creatorcontrib>Wang, Ju</creatorcontrib><creatorcontrib>Ji, Ruili</creatorcontrib><creatorcontrib>Zhang, Ming</creatorcontrib><creatorcontrib>Li, Jiebiao</creatorcontrib><title>Numerical modeling of site-scale groundwater flow with stochastic parameterized hydraulic conductivity fields for geological disposal of high-level radioactive waste in China</title><title>Journal of hydrology (Amsterdam)</title><description>•First hydrogeological model established for URL site of HLW disposal in China.•The effect of the hydraulic influence zones of faults is incorporated in the numerical model.•Different variations in the horizontal and vertical directions of hydraulic conductivity are considered.•A total of 120 stochastic parameterized models are presented.•Hydraulic conductivity < 10−9 m/s at high-level radioactive waste disposal depth.
Deep geological disposal is internationally accepted as a feasible and safe approach for high-level radioactive waste (HLW) disposal. To evaluate hydrogeological conditions in support of safety assessments for HLW disposal at the Xinchang preselected site in China, stochastic inverse models of site-scale groundwater flow were developed in this study to generate highly parameterized hydraulic conductivity fields for the fractured medium by adopting pilot point and null-space Monte Carlo methods. The hydraulic influence zones of the faults were carefully considered to have homogenous parameter values across the zones. A total of 120 multiple random realizations were generated to characterize the 3D spatial variations in hydraulic conductivity by conditioning to 1218 fixed pilot points. The simulated hydraulic heads of the realizations were in good agreement with observational data. The hydraulic conductivity fields close to the boreholes could be characterized in detail and had relatively low uncertainties. Furthermore, the hydraulic conductivity (K) values around underground research laboratory (URL) at the HLW disposal zone depth were less than 10−9 m/s. The K values obtained for most of the influence zones of these faults at this depth were consistent with hydraulic test data and ranged from 10−10 to 10−9 m/s, thereby indicating that the surrounding rock has low permeability and is suitable for HLW disposal. These findings offer new insights into hydrogeological conditions by providing key information on the permeability characteristics that need further focus on HLW disposal.</description><subject>China</subject><subject>Fractured rock mass</subject><subject>groundwater flow</subject><subject>High-level radioactive waste disposal</subject><subject>hydraulic conductivity</subject><subject>Null-space Monte Carlo</subject><subject>observational studies</subject><subject>permeability</subject><subject>Pilot point method</subject><subject>radioactive waste</subject><subject>Stochastic inverse models</subject><issn>0022-1694</issn><issn>1879-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFUcuOEzEQtBBIhMAnIPnIZbJ-zPOEUMRLWsFl75bXbs905BkH25MofNR-I85m7_jSVnVXV3cXIR8523HG27vD7jBdbAx-J5iQOy6ZEM0rsuF9N1SiY91rsmEFq3g71G_Ju5QOrDwp6w15-rXOENFoT-dgweMy0uBowgxVKijQMYZ1sWedIVLnw5meMU805WAmnTIaetRRz1DS-BcsvU6iV19wExa7mownzBfqELxN1IVIRwg-jM-SFtMxpPIpkhOOU-XhBJ5GbTHoKxXouYgAxYXuJ1z0e_LGaZ_gw0vckodvXx_2P6r7399_7r_cV0bWIlctCMmN62sj6l5Y15iBcTO0hlkxgBO9eBROd1rYQQMbjHQtSFEPbdfaWlq5JZ9ubY8x_FkhZTVjMuC9XiCsSUneSF73TTniljS3UhNDShGcOkacdbwoztTVHnVQL_aoqz3qZk_hfb7xoKxxQogqGYTFgMUIJisb8D8d_gH166En</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Zhao, Jingbo</creator><creator>Zhou, Zhichao</creator><creator>Wang, Ju</creator><creator>Ji, Ruili</creator><creator>Zhang, Ming</creator><creator>Li, Jiebiao</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-7076-9865</orcidid></search><sort><creationdate>202311</creationdate><title>Numerical modeling of site-scale groundwater flow with stochastic parameterized hydraulic conductivity fields for geological disposal of high-level radioactive waste in China</title><author>Zhao, Jingbo ; Zhou, Zhichao ; Wang, Ju ; Ji, Ruili ; Zhang, Ming ; Li, Jiebiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-6e231cf84c2482df5c901c96c0d29ef282b2fa7a2d9ae09c3f6e3249676d43d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>China</topic><topic>Fractured rock mass</topic><topic>groundwater flow</topic><topic>High-level radioactive waste disposal</topic><topic>hydraulic conductivity</topic><topic>Null-space Monte Carlo</topic><topic>observational studies</topic><topic>permeability</topic><topic>Pilot point method</topic><topic>radioactive waste</topic><topic>Stochastic inverse models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Jingbo</creatorcontrib><creatorcontrib>Zhou, Zhichao</creatorcontrib><creatorcontrib>Wang, Ju</creatorcontrib><creatorcontrib>Ji, Ruili</creatorcontrib><creatorcontrib>Zhang, Ming</creatorcontrib><creatorcontrib>Li, Jiebiao</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Jingbo</au><au>Zhou, Zhichao</au><au>Wang, Ju</au><au>Ji, Ruili</au><au>Zhang, Ming</au><au>Li, Jiebiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical modeling of site-scale groundwater flow with stochastic parameterized hydraulic conductivity fields for geological disposal of high-level radioactive waste in China</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>2023-11</date><risdate>2023</risdate><volume>626</volume><spage>130225</spage><pages>130225-</pages><artnum>130225</artnum><issn>0022-1694</issn><eissn>1879-2707</eissn><abstract>•First hydrogeological model established for URL site of HLW disposal in China.•The effect of the hydraulic influence zones of faults is incorporated in the numerical model.•Different variations in the horizontal and vertical directions of hydraulic conductivity are considered.•A total of 120 stochastic parameterized models are presented.•Hydraulic conductivity < 10−9 m/s at high-level radioactive waste disposal depth.
Deep geological disposal is internationally accepted as a feasible and safe approach for high-level radioactive waste (HLW) disposal. To evaluate hydrogeological conditions in support of safety assessments for HLW disposal at the Xinchang preselected site in China, stochastic inverse models of site-scale groundwater flow were developed in this study to generate highly parameterized hydraulic conductivity fields for the fractured medium by adopting pilot point and null-space Monte Carlo methods. The hydraulic influence zones of the faults were carefully considered to have homogenous parameter values across the zones. A total of 120 multiple random realizations were generated to characterize the 3D spatial variations in hydraulic conductivity by conditioning to 1218 fixed pilot points. The simulated hydraulic heads of the realizations were in good agreement with observational data. The hydraulic conductivity fields close to the boreholes could be characterized in detail and had relatively low uncertainties. Furthermore, the hydraulic conductivity (K) values around underground research laboratory (URL) at the HLW disposal zone depth were less than 10−9 m/s. The K values obtained for most of the influence zones of these faults at this depth were consistent with hydraulic test data and ranged from 10−10 to 10−9 m/s, thereby indicating that the surrounding rock has low permeability and is suitable for HLW disposal. These findings offer new insights into hydrogeological conditions by providing key information on the permeability characteristics that need further focus on HLW disposal.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.jhydrol.2023.130225</doi><orcidid>https://orcid.org/0000-0002-7076-9865</orcidid></addata></record> |
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| source | Elsevier ScienceDirect Journals |
| subjects | China Fractured rock mass groundwater flow High-level radioactive waste disposal hydraulic conductivity Null-space Monte Carlo observational studies permeability Pilot point method radioactive waste Stochastic inverse models |
| title | Numerical modeling of site-scale groundwater flow with stochastic parameterized hydraulic conductivity fields for geological disposal of high-level radioactive waste in China |
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