An analytical method for predicting the groundwater inflow to tunnels in a fractured aquifer
Based on the fracture network model and the cubic law of a single fracture with laminar flow, a method suitable for calculating hydraulic-head distribution and flow behaviors in fractures was developed. The method regards the rock matrix as an impermeable medium, and groundwater only flows in the ne...
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Veröffentlicht in: | Hydrogeology journal 2022-06, Vol.30 (4), p.1279-1293 |
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description | Based on the fracture network model and the cubic law of a single fracture with laminar flow, a method suitable for calculating hydraulic-head distribution and flow behaviors in fractures was developed. The method regards the rock matrix as an impermeable medium, and groundwater only flows in the network formed by the fractures and faults. The equivalent porous medium approach can be used to consider fractured or fault zones in the traditional analytical methods. The proposed approach assumes that the discrete fractured aquifer behavior is equivalent to porous media behavior and, therefore, any fractured or fault zones can be considered using a layer with much higher hydraulic conductivity than that of the intact rock. A case study in Jiangsu Province, China, was employed to verify the applicability and effectiveness of the method, and the influences of fracture orientation and tunnel slope on water inflow were evaluated. The method was applied to the prediction of water inflow to tunnels in the Liyang pumped-storage power station, and the water inflow calculated with this method was compared with the observed inflow. The results show that, compared with the traditional methods, the proposed method incurs only small errors and fits measured values well. It can be applied to the prediction of tunnel inflow in fractured rock mass, especially in areas where the permeability of fractures and faults is much greater than that of the rock matrix. |
doi_str_mv | 10.1007/s10040-022-02485-6 |
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The method regards the rock matrix as an impermeable medium, and groundwater only flows in the network formed by the fractures and faults. The equivalent porous medium approach can be used to consider fractured or fault zones in the traditional analytical methods. The proposed approach assumes that the discrete fractured aquifer behavior is equivalent to porous media behavior and, therefore, any fractured or fault zones can be considered using a layer with much higher hydraulic conductivity than that of the intact rock. A case study in Jiangsu Province, China, was employed to verify the applicability and effectiveness of the method, and the influences of fracture orientation and tunnel slope on water inflow were evaluated. The method was applied to the prediction of water inflow to tunnels in the Liyang pumped-storage power station, and the water inflow calculated with this method was compared with the observed inflow. The results show that, compared with the traditional methods, the proposed method incurs only small errors and fits measured values well. It can be applied to the prediction of tunnel inflow in fractured rock mass, especially in areas where the permeability of fractures and faults is much greater than that of the rock matrix.</description><identifier>ISSN: 1431-2174</identifier><identifier>EISSN: 1435-0157</identifier><identifier>DOI: 10.1007/s10040-022-02485-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analytical methods ; Aquatic Pollution ; Aquifers ; Earth and Environmental Science ; Earth Sciences ; Equivalence ; Fault zones ; Faults ; Fractures ; Geology ; Geophysics/Geodesy ; Groundwater ; Hydraulic conductivity ; Hydrogeology ; Hydrology/Water Resources ; Inflow ; Laminar flow ; Permeability ; Porous media ; Power plants ; Pumped storage ; Rock masses ; Rocks ; Tunnels ; Waste Water Technology ; Water inflow ; Water Management ; Water Pollution Control ; Water Quality/Water Pollution</subject><ispartof>Hydrogeology journal, 2022-06, Vol.30 (4), p.1279-1293</ispartof><rights>The Author(s), under exclusive licence to International Association of Hydrogeologists 2022</rights><rights>The Author(s), under exclusive licence to International Association of Hydrogeologists 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a272t-cbf44f20f5fe0f91bd6e367566917542d4d9051b9307daec70223b85cfd7971e3</citedby><cites>FETCH-LOGICAL-a272t-cbf44f20f5fe0f91bd6e367566917542d4d9051b9307daec70223b85cfd7971e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10040-022-02485-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10040-022-02485-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Su, Yue</creatorcontrib><creatorcontrib>Huang, Yong</creatorcontrib><creatorcontrib>Shen, Huan</creatorcontrib><creatorcontrib>Jiang, Yin</creatorcontrib><creatorcontrib>Zhou, Zhifang</creatorcontrib><title>An analytical method for predicting the groundwater inflow to tunnels in a fractured aquifer</title><title>Hydrogeology journal</title><addtitle>Hydrogeol J</addtitle><description>Based on the fracture network model and the cubic law of a single fracture with laminar flow, a method suitable for calculating hydraulic-head distribution and flow behaviors in fractures was developed. The method regards the rock matrix as an impermeable medium, and groundwater only flows in the network formed by the fractures and faults. The equivalent porous medium approach can be used to consider fractured or fault zones in the traditional analytical methods. The proposed approach assumes that the discrete fractured aquifer behavior is equivalent to porous media behavior and, therefore, any fractured or fault zones can be considered using a layer with much higher hydraulic conductivity than that of the intact rock. A case study in Jiangsu Province, China, was employed to verify the applicability and effectiveness of the method, and the influences of fracture orientation and tunnel slope on water inflow were evaluated. The method was applied to the prediction of water inflow to tunnels in the Liyang pumped-storage power station, and the water inflow calculated with this method was compared with the observed inflow. The results show that, compared with the traditional methods, the proposed method incurs only small errors and fits measured values well. It can be applied to the prediction of tunnel inflow in fractured rock mass, especially in areas where the permeability of fractures and faults is much greater than that of the rock matrix.</description><subject>Analytical methods</subject><subject>Aquatic Pollution</subject><subject>Aquifers</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Equivalence</subject><subject>Fault zones</subject><subject>Faults</subject><subject>Fractures</subject><subject>Geology</subject><subject>Geophysics/Geodesy</subject><subject>Groundwater</subject><subject>Hydraulic conductivity</subject><subject>Hydrogeology</subject><subject>Hydrology/Water Resources</subject><subject>Inflow</subject><subject>Laminar flow</subject><subject>Permeability</subject><subject>Porous media</subject><subject>Power plants</subject><subject>Pumped storage</subject><subject>Rock masses</subject><subject>Rocks</subject><subject>Tunnels</subject><subject>Waste Water Technology</subject><subject>Water inflow</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water Quality/Water Pollution</subject><issn>1431-2174</issn><issn>1435-0157</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kEtLAzEUhYMoWKt_wFXAdTTPSWdZilqh4EZ3QshMknbKNGmTDKX_3tgR3Lm4Dy7nO3APAPcEPxKM5VMqnWOEKS3FZwJVF2BCOBMIEyEvzztBlEh-DW5S2uIiJ5JNwNfcQ-11f8pdq3u4s3kTDHQhwn20pmtz59cwbyxcxzB4c9TZRth514cjzAHmwXvbp3KBGrqo2zwUDOrD0Dkbb8GV032yd79zCj5fnj8WS7R6f31bzFdIU0kzahvHuaPYCWexq0ljKssqKaqqJlJwaripsSBNzbA02rayvMmamWidkbUklk3Bw-i7j-Ew2JTVNgyxfJUUrSTDjOKaFBUdVW0MKUXr1D52Ox1PimD1k6IaU1TFXp1TVFWB2AilIvZrG_-s_6G-AY80dU4</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Su, Yue</creator><creator>Huang, Yong</creator><creator>Shen, Huan</creator><creator>Jiang, Yin</creator><creator>Zhou, Zhifang</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20220601</creationdate><title>An analytical method for predicting the groundwater inflow to tunnels in a fractured aquifer</title><author>Su, Yue ; Huang, Yong ; Shen, Huan ; Jiang, Yin ; Zhou, Zhifang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a272t-cbf44f20f5fe0f91bd6e367566917542d4d9051b9307daec70223b85cfd7971e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analytical methods</topic><topic>Aquatic Pollution</topic><topic>Aquifers</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Equivalence</topic><topic>Fault zones</topic><topic>Faults</topic><topic>Fractures</topic><topic>Geology</topic><topic>Geophysics/Geodesy</topic><topic>Groundwater</topic><topic>Hydraulic conductivity</topic><topic>Hydrogeology</topic><topic>Hydrology/Water Resources</topic><topic>Inflow</topic><topic>Laminar flow</topic><topic>Permeability</topic><topic>Porous media</topic><topic>Power plants</topic><topic>Pumped storage</topic><topic>Rock masses</topic><topic>Rocks</topic><topic>Tunnels</topic><topic>Waste Water Technology</topic><topic>Water inflow</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Water Quality/Water Pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Su, Yue</creatorcontrib><creatorcontrib>Huang, Yong</creatorcontrib><creatorcontrib>Shen, Huan</creatorcontrib><creatorcontrib>Jiang, Yin</creatorcontrib><creatorcontrib>Zhou, Zhifang</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Hydrogeology journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Su, Yue</au><au>Huang, Yong</au><au>Shen, Huan</au><au>Jiang, Yin</au><au>Zhou, Zhifang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An analytical method for predicting the groundwater inflow to tunnels in a fractured aquifer</atitle><jtitle>Hydrogeology journal</jtitle><stitle>Hydrogeol J</stitle><date>2022-06-01</date><risdate>2022</risdate><volume>30</volume><issue>4</issue><spage>1279</spage><epage>1293</epage><pages>1279-1293</pages><issn>1431-2174</issn><eissn>1435-0157</eissn><abstract>Based on the fracture network model and the cubic law of a single fracture with laminar flow, a method suitable for calculating hydraulic-head distribution and flow behaviors in fractures was developed. The method regards the rock matrix as an impermeable medium, and groundwater only flows in the network formed by the fractures and faults. The equivalent porous medium approach can be used to consider fractured or fault zones in the traditional analytical methods. The proposed approach assumes that the discrete fractured aquifer behavior is equivalent to porous media behavior and, therefore, any fractured or fault zones can be considered using a layer with much higher hydraulic conductivity than that of the intact rock. A case study in Jiangsu Province, China, was employed to verify the applicability and effectiveness of the method, and the influences of fracture orientation and tunnel slope on water inflow were evaluated. The method was applied to the prediction of water inflow to tunnels in the Liyang pumped-storage power station, and the water inflow calculated with this method was compared with the observed inflow. The results show that, compared with the traditional methods, the proposed method incurs only small errors and fits measured values well. It can be applied to the prediction of tunnel inflow in fractured rock mass, especially in areas where the permeability of fractures and faults is much greater than that of the rock matrix.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10040-022-02485-6</doi><tpages>15</tpages></addata></record> |
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subjects | Analytical methods Aquatic Pollution Aquifers Earth and Environmental Science Earth Sciences Equivalence Fault zones Faults Fractures Geology Geophysics/Geodesy Groundwater Hydraulic conductivity Hydrogeology Hydrology/Water Resources Inflow Laminar flow Permeability Porous media Power plants Pumped storage Rock masses Rocks Tunnels Waste Water Technology Water inflow Water Management Water Pollution Control Water Quality/Water Pollution |
title | An analytical method for predicting the groundwater inflow to tunnels in a fractured aquifer |
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