Water abundance evaluation of a burnt rock aquifer using the AHP and entropy weight method: a case study in the Yongxin coal mine, China
Severe water inflows to the presence of a burnt rock aquifer in coal mines in the Aai mining area in Xinjiang in China has caused the loss of life and economic damage. Drainage technology represents the main means to control the water management problems in coal mines caused by the presence of burnt...
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| Veröffentlicht in: | Environmental earth sciences 2021-06, Vol.80 (11), Article 417 |
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| creator | Xue, Jiankun Shi, Lei Wang, Hao Ji, Zhongkui Shang, Hongbo Xu, Feng Zhao, Chunhu Huang, Huan Luo, Ankun |
| description | Severe water inflows to the presence of a burnt rock aquifer in coal mines in the Aai mining area in Xinjiang in China has caused the loss of life and economic damage. Drainage technology represents the main means to control the water management problems in coal mines caused by the presence of burnt rock masses, and the layout of drainage boreholes is determined according to the water abundance of the aquifer. However, existing studies on the water abundance of the burnt rock aquifer in the Aai mining area are insufficient. Using the accessible geological exploration data, a method of water abundance evaluation was proposed in the Yongxin coal mine of the Aai mining area, Xinjiang, China. A model was created using five controlling factors, namely: the thickness of the burnt rock; the core extraction rate; the hydraulic conductivity; the rate of flushing fluid consumption during drilling; and the thickness of the burnt rock aquifer. A thematic map of each factor, drawn using the Kriging function interpolation technique, was divided into five classes. The combined analytic hierarchy process and entropy weight method was applied to calculate the weight of each factor. The water abundance zoning map, constructed via superimposing the thematic map of each factor using the ArcGIS software, was divided into five zones. The map was further verified using the data of pumping test results from three boreholes and mine water inflow from tunnels, and it was thus found that the map was in good agreement with the field data. The present model can effectively evaluate water abundance of the burnt rock aquifer in the Yongxin coal mine of the Aai mining area, Xinjiang, China. |
| doi_str_mv | 10.1007/s12665-021-09703-6 |
| format | Article |
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Drainage technology represents the main means to control the water management problems in coal mines caused by the presence of burnt rock masses, and the layout of drainage boreholes is determined according to the water abundance of the aquifer. However, existing studies on the water abundance of the burnt rock aquifer in the Aai mining area are insufficient. Using the accessible geological exploration data, a method of water abundance evaluation was proposed in the Yongxin coal mine of the Aai mining area, Xinjiang, China. A model was created using five controlling factors, namely: the thickness of the burnt rock; the core extraction rate; the hydraulic conductivity; the rate of flushing fluid consumption during drilling; and the thickness of the burnt rock aquifer. A thematic map of each factor, drawn using the Kriging function interpolation technique, was divided into five classes. The combined analytic hierarchy process and entropy weight method was applied to calculate the weight of each factor. The water abundance zoning map, constructed via superimposing the thematic map of each factor using the ArcGIS software, was divided into five zones. The map was further verified using the data of pumping test results from three boreholes and mine water inflow from tunnels, and it was thus found that the map was in good agreement with the field data. The present model can effectively evaluate water abundance of the burnt rock aquifer in the Yongxin coal mine of the Aai mining area, Xinjiang, China.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-021-09703-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Abundance ; Analytic hierarchy process ; Aquifers ; Biogeosciences ; Boreholes ; Coal ; Coal mines ; Coal mining ; Drainage ; Drilling ; Earth and Environmental Science ; Earth Sciences ; Economics ; Entropy ; Environmental Science and Engineering ; Evaluation ; Geochemistry ; Geological surveys ; Geology ; Hydraulic conductivity ; Hydrology/Water Resources ; Inflow ; Interpolation ; Mine drainage ; Mine waters ; Mines ; Original Article ; Rock masses ; Rocks ; Statistical methods ; Terrestrial Pollution ; Thematic mapping ; Thickness ; Tunnels ; Water management</subject><ispartof>Environmental earth sciences, 2021-06, Vol.80 (11), Article 417</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a342t-d63035896e058dde8346f40764d48b825bada25431c0662c17fa0a915eb773053</citedby><cites>FETCH-LOGICAL-a342t-d63035896e058dde8346f40764d48b825bada25431c0662c17fa0a915eb773053</cites><orcidid>0000-0002-1414-5919</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/s12665-021-09703-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-021-09703-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Xue, Jiankun</creatorcontrib><creatorcontrib>Shi, Lei</creatorcontrib><creatorcontrib>Wang, Hao</creatorcontrib><creatorcontrib>Ji, Zhongkui</creatorcontrib><creatorcontrib>Shang, Hongbo</creatorcontrib><creatorcontrib>Xu, Feng</creatorcontrib><creatorcontrib>Zhao, Chunhu</creatorcontrib><creatorcontrib>Huang, Huan</creatorcontrib><creatorcontrib>Luo, Ankun</creatorcontrib><title>Water abundance evaluation of a burnt rock aquifer using the AHP and entropy weight method: a case study in the Yongxin coal mine, China</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>Severe water inflows to the presence of a burnt rock aquifer in coal mines in the Aai mining area in Xinjiang in China has caused the loss of life and economic damage. Drainage technology represents the main means to control the water management problems in coal mines caused by the presence of burnt rock masses, and the layout of drainage boreholes is determined according to the water abundance of the aquifer. However, existing studies on the water abundance of the burnt rock aquifer in the Aai mining area are insufficient. Using the accessible geological exploration data, a method of water abundance evaluation was proposed in the Yongxin coal mine of the Aai mining area, Xinjiang, China. A model was created using five controlling factors, namely: the thickness of the burnt rock; the core extraction rate; the hydraulic conductivity; the rate of flushing fluid consumption during drilling; and the thickness of the burnt rock aquifer. A thematic map of each factor, drawn using the Kriging function interpolation technique, was divided into five classes. The combined analytic hierarchy process and entropy weight method was applied to calculate the weight of each factor. The water abundance zoning map, constructed via superimposing the thematic map of each factor using the ArcGIS software, was divided into five zones. The map was further verified using the data of pumping test results from three boreholes and mine water inflow from tunnels, and it was thus found that the map was in good agreement with the field data. The present model can effectively evaluate water abundance of the burnt rock aquifer in the Yongxin coal mine of the Aai mining area, Xinjiang, China.</description><subject>Abundance</subject><subject>Analytic hierarchy process</subject><subject>Aquifers</subject><subject>Biogeosciences</subject><subject>Boreholes</subject><subject>Coal</subject><subject>Coal mines</subject><subject>Coal mining</subject><subject>Drainage</subject><subject>Drilling</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Economics</subject><subject>Entropy</subject><subject>Environmental Science and Engineering</subject><subject>Evaluation</subject><subject>Geochemistry</subject><subject>Geological surveys</subject><subject>Geology</subject><subject>Hydraulic conductivity</subject><subject>Hydrology/Water Resources</subject><subject>Inflow</subject><subject>Interpolation</subject><subject>Mine drainage</subject><subject>Mine waters</subject><subject>Mines</subject><subject>Original Article</subject><subject>Rock masses</subject><subject>Rocks</subject><subject>Statistical methods</subject><subject>Terrestrial Pollution</subject><subject>Thematic mapping</subject><subject>Thickness</subject><subject>Tunnels</subject><subject>Water management</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</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>eNp9kEFP3DAQhaOqSF0Bf4DTSL02ZWzHTsINrVqohFQOIMTJmsTObra79mI7wP4DfjYui9obc5l3eN8bzSuKE4bfGWJ9GhlXSpbIWYltjaJUn4oZa5QqFW_bz_90g1-K4xhXmEcw0aKaFS93lGwA6iZnyPUW7COtJ0qjd-AHIOim4BIE3_8BepjGIZunOLoFpKWF88trIGfAuhT8dgdPdlwsE2xsWnpzlumeooWYJrOD0b0h994tnrPuPa1hMzr7DebL0dFRcTDQOtrj931Y3P78cTO_LK9-X_yan1-VJCqeSqMECtm0yqJsjLGNqNRQYa0qUzVdw2VHhrisBOtRKd6zeiCklknb1bVAKQ6Lr_vcbfAPk41Jr3x-MZ_UXApZS1Ejyy6-d_XBxxjsoLdh3FDYaYb6b-l6X7rOpeu30rXKkNhDMZvdwob_0R9Qr60Jg_A</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Xue, Jiankun</creator><creator>Shi, Lei</creator><creator>Wang, Hao</creator><creator>Ji, Zhongkui</creator><creator>Shang, Hongbo</creator><creator>Xu, Feng</creator><creator>Zhao, Chunhu</creator><creator>Huang, Huan</creator><creator>Luo, Ankun</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</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>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</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/0000-0002-1414-5919</orcidid></search><sort><creationdate>20210601</creationdate><title>Water abundance evaluation of a burnt rock aquifer using the AHP and entropy weight method: a case study in the Yongxin coal mine, China</title><author>Xue, Jiankun ; 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Drainage technology represents the main means to control the water management problems in coal mines caused by the presence of burnt rock masses, and the layout of drainage boreholes is determined according to the water abundance of the aquifer. However, existing studies on the water abundance of the burnt rock aquifer in the Aai mining area are insufficient. Using the accessible geological exploration data, a method of water abundance evaluation was proposed in the Yongxin coal mine of the Aai mining area, Xinjiang, China. A model was created using five controlling factors, namely: the thickness of the burnt rock; the core extraction rate; the hydraulic conductivity; the rate of flushing fluid consumption during drilling; and the thickness of the burnt rock aquifer. A thematic map of each factor, drawn using the Kriging function interpolation technique, was divided into five classes. The combined analytic hierarchy process and entropy weight method was applied to calculate the weight of each factor. The water abundance zoning map, constructed via superimposing the thematic map of each factor using the ArcGIS software, was divided into five zones. The map was further verified using the data of pumping test results from three boreholes and mine water inflow from tunnels, and it was thus found that the map was in good agreement with the field data. The present model can effectively evaluate water abundance of the burnt rock aquifer in the Yongxin coal mine of the Aai mining area, Xinjiang, China.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-021-09703-6</doi><orcidid>https://orcid.org/0000-0002-1414-5919</orcidid></addata></record> |
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| subjects | Abundance Analytic hierarchy process Aquifers Biogeosciences Boreholes Coal Coal mines Coal mining Drainage Drilling Earth and Environmental Science Earth Sciences Economics Entropy Environmental Science and Engineering Evaluation Geochemistry Geological surveys Geology Hydraulic conductivity Hydrology/Water Resources Inflow Interpolation Mine drainage Mine waters Mines Original Article Rock masses Rocks Statistical methods Terrestrial Pollution Thematic mapping Thickness Tunnels Water management |
| title | Water abundance evaluation of a burnt rock aquifer using the AHP and entropy weight method: a case study in the Yongxin coal mine, China |
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