Analysis of Spatial Differences in Permeability Based on Sedimentary and Structural Features of the Sandstone Aquifer Overlying Coal Seams in Western China
A sandstone aquifer covers the primary mineable coal seam within the Jurassic Ningdong coal field in western China and threatens the safety of mining the shallow seam. Although geological boreholes were located in and surrounding the study area, no hydrogeological boreholes existed within it, so six...
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| Veröffentlicht in: | Mine water and the environment 2020-06, Vol.39 (2), p.229-241 |
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| creator | Ma, Lianjing Zhao, Baofeng Wang, Hao Gao, Ya |
| description | A sandstone aquifer covers the primary mineable coal seam within the Jurassic Ningdong coal field in western China and threatens the safety of mining the shallow seam. Although geological boreholes were located in and surrounding the study area, no hydrogeological boreholes existed within it, so six factors (the ratio between the sandstone aquifer and entire strata thicknesses, sandstone thickness, grit thickness, number of sandstone layers, fault fractal dimension, and fold fractal dimension) were used as indicators of aquifer permeability. Using a pair-wise comparison approach, the influence weights of these six factors on the permeability coefficient were defined as 0.131, 0.243, 0.161, 0.106, 0.197, and 0.161, respectively. Integration of the area’s geological and hydrogeological conditions, and geological exploration, drilling, and three-dimensional seismic data resulted in partitioning of the permeability levels within the study area after fuzzy comprehensive evaluation. Comparing the results with actual conditions and the observed working panel water inflows verified that the proposed method for analysis of spatial differences can be used to guide future water prevention and control efforts. |
| doi_str_mv | 10.1007/s10230-020-00682-x |
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Although geological boreholes were located in and surrounding the study area, no hydrogeological boreholes existed within it, so six factors (the ratio between the sandstone aquifer and entire strata thicknesses, sandstone thickness, grit thickness, number of sandstone layers, fault fractal dimension, and fold fractal dimension) were used as indicators of aquifer permeability. Using a pair-wise comparison approach, the influence weights of these six factors on the permeability coefficient were defined as 0.131, 0.243, 0.161, 0.106, 0.197, and 0.161, respectively. Integration of the area’s geological and hydrogeological conditions, and geological exploration, drilling, and three-dimensional seismic data resulted in partitioning of the permeability levels within the study area after fuzzy comprehensive evaluation. Comparing the results with actual conditions and the observed working panel water inflows verified that the proposed method for analysis of spatial differences can be used to guide future water prevention and control efforts.</description><identifier>ISSN: 1025-9112</identifier><identifier>EISSN: 1616-1068</identifier><identifier>DOI: 10.1007/s10230-020-00682-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquifers ; Boreholes ; Coal ; Coal mining ; Drilling ; Earth and Environmental Science ; Earth Sciences ; Earthquakes ; Ecotoxicology ; Fractal geometry ; Fractals ; Geological surveys ; Geology ; Hydrogeology ; Industrial Pollution Prevention ; Jurassic ; Mathematical models ; Methods ; Mineral Resources ; Mining accidents & safety ; Permeability ; Permeability coefficient ; Risk assessment ; Sandstone ; Sedimentary rocks ; Seismic data ; Spatial analysis ; Spatial variations ; Technical Article ; Thickness ; Water quality ; Water Quality/Water Pollution</subject><ispartof>Mine water and the environment, 2020-06, Vol.39 (2), p.229-241</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-6f3a09d9fa33ee82f63d3be596f82a4e1c8de12be05e9adcf033a5cc92a618c63</citedby><cites>FETCH-LOGICAL-c319t-6f3a09d9fa33ee82f63d3be596f82a4e1c8de12be05e9adcf033a5cc92a618c63</cites><orcidid>0000-0002-8926-914X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10230-020-00682-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10230-020-00682-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27911,27912,41475,42544,51306</link.rule.ids></links><search><creatorcontrib>Ma, Lianjing</creatorcontrib><creatorcontrib>Zhao, Baofeng</creatorcontrib><creatorcontrib>Wang, Hao</creatorcontrib><creatorcontrib>Gao, Ya</creatorcontrib><title>Analysis of Spatial Differences in Permeability Based on Sedimentary and Structural Features of the Sandstone Aquifer Overlying Coal Seams in Western China</title><title>Mine water and the environment</title><addtitle>Mine Water Environ</addtitle><description>A sandstone aquifer covers the primary mineable coal seam within the Jurassic Ningdong coal field in western China and threatens the safety of mining the shallow seam. 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Comparing the results with actual conditions and the observed working panel water inflows verified that the proposed method for analysis of spatial differences can be used to guide future water prevention and control efforts.</description><subject>Aquifers</subject><subject>Boreholes</subject><subject>Coal</subject><subject>Coal mining</subject><subject>Drilling</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earthquakes</subject><subject>Ecotoxicology</subject><subject>Fractal geometry</subject><subject>Fractals</subject><subject>Geological surveys</subject><subject>Geology</subject><subject>Hydrogeology</subject><subject>Industrial Pollution Prevention</subject><subject>Jurassic</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Mineral Resources</subject><subject>Mining accidents & safety</subject><subject>Permeability</subject><subject>Permeability coefficient</subject><subject>Risk assessment</subject><subject>Sandstone</subject><subject>Sedimentary rocks</subject><subject>Seismic data</subject><subject>Spatial analysis</subject><subject>Spatial variations</subject><subject>Technical Article</subject><subject>Thickness</subject><subject>Water quality</subject><subject>Water Quality/Water Pollution</subject><issn>1025-9112</issn><issn>1616-1068</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</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>eNp9kcFO3DAQhiNUJCj0BThZ4pzWYzcmPm63pa2EBFJAHK1ZZ7xrlHUW20HkWXhZ3N1KvfVgeSz_3-8Z_1V1AfwzcH71JQEXktdclMVVK-rXo-oUFKgayvFDqbloag0gTqqPKT1xDldKNKfV2yLgMCef2OhYt8PscWDfvXMUKVhKzAd2R3FLuPKDzzP7hol6NgbWUe-3FDLGmWHoWZfjZPMUC39NWArae-YNsa7cpzwGYovnyRdrdvtCcZh9WLPlWICOcLt_6pFSphjYcuMDnlfHDodEn_7uZ9XD9Y_75a_65vbn7-XiprYSdK6Vk8h1rx1KSdQKp2QvV9Ro5VqBXwls2xOIFfGGNPbWcSmxsVYLVNBaJc-qy4PvLo7PU-nAPI1TLP-SjNDQghK6haISB5WNY0qRnNlFvy3TG-DmTwjmEIIpIZh9COa1QPIApSIOa4r_rP9DvQMKK426</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Ma, Lianjing</creator><creator>Zhao, Baofeng</creator><creator>Wang, Hao</creator><creator>Gao, Ya</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>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8C1</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-8926-914X</orcidid></search><sort><creationdate>20200601</creationdate><title>Analysis of Spatial Differences in Permeability Based on Sedimentary and Structural Features of the Sandstone Aquifer Overlying Coal Seams in Western China</title><author>Ma, Lianjing ; Zhao, Baofeng ; Wang, Hao ; Gao, Ya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-6f3a09d9fa33ee82f63d3be596f82a4e1c8de12be05e9adcf033a5cc92a618c63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aquifers</topic><topic>Boreholes</topic><topic>Coal</topic><topic>Coal mining</topic><topic>Drilling</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earthquakes</topic><topic>Ecotoxicology</topic><topic>Fractal geometry</topic><topic>Fractals</topic><topic>Geological surveys</topic><topic>Geology</topic><topic>Hydrogeology</topic><topic>Industrial Pollution Prevention</topic><topic>Jurassic</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Mineral Resources</topic><topic>Mining accidents & safety</topic><topic>Permeability</topic><topic>Permeability coefficient</topic><topic>Risk assessment</topic><topic>Sandstone</topic><topic>Sedimentary rocks</topic><topic>Seismic data</topic><topic>Spatial analysis</topic><topic>Spatial variations</topic><topic>Technical Article</topic><topic>Thickness</topic><topic>Water quality</topic><topic>Water Quality/Water Pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Lianjing</creatorcontrib><creatorcontrib>Zhao, Baofeng</creatorcontrib><creatorcontrib>Wang, Hao</creatorcontrib><creatorcontrib>Gao, Ya</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</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>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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Mine water and the environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Lianjing</au><au>Zhao, Baofeng</au><au>Wang, Hao</au><au>Gao, Ya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Spatial Differences in Permeability Based on Sedimentary and Structural Features of the Sandstone Aquifer Overlying Coal Seams in Western China</atitle><jtitle>Mine water and the environment</jtitle><stitle>Mine Water Environ</stitle><date>2020-06-01</date><risdate>2020</risdate><volume>39</volume><issue>2</issue><spage>229</spage><epage>241</epage><pages>229-241</pages><issn>1025-9112</issn><eissn>1616-1068</eissn><abstract>A sandstone aquifer covers the primary mineable coal seam within the Jurassic Ningdong coal field in western China and threatens the safety of mining the shallow seam. Although geological boreholes were located in and surrounding the study area, no hydrogeological boreholes existed within it, so six factors (the ratio between the sandstone aquifer and entire strata thicknesses, sandstone thickness, grit thickness, number of sandstone layers, fault fractal dimension, and fold fractal dimension) were used as indicators of aquifer permeability. Using a pair-wise comparison approach, the influence weights of these six factors on the permeability coefficient were defined as 0.131, 0.243, 0.161, 0.106, 0.197, and 0.161, respectively. Integration of the area’s geological and hydrogeological conditions, and geological exploration, drilling, and three-dimensional seismic data resulted in partitioning of the permeability levels within the study area after fuzzy comprehensive evaluation. 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| subjects | Aquifers Boreholes Coal Coal mining Drilling Earth and Environmental Science Earth Sciences Earthquakes Ecotoxicology Fractal geometry Fractals Geological surveys Geology Hydrogeology Industrial Pollution Prevention Jurassic Mathematical models Methods Mineral Resources Mining accidents & safety Permeability Permeability coefficient Risk assessment Sandstone Sedimentary rocks Seismic data Spatial analysis Spatial variations Technical Article Thickness Water quality Water Quality/Water Pollution |
| title | Analysis of Spatial Differences in Permeability Based on Sedimentary and Structural Features of the Sandstone Aquifer Overlying Coal Seams in Western China |
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