Skip to main content
Erschienen in: Environmental Earth Sciences 10/2016

01.05.2016 | Original Article

Determining sources of mine water based on hydraulic characteristics analysis of a fault system

verfasst von: Mei Yao, Peigui Liu, Manting Shang, Yuezan Tao, Chao Lei, Lugan Cao

Erschienen in: Environmental Earth Sciences | Ausgabe 10/2016

Einloggen

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

To analyze mining hydrogeological conditions and determine the sources of mine water, a hydrothermal deposit of China is taken as an example in this paper. On the basis of detailed geological and hydrogeological analysis of conditions in the mining area, the hydrogeological characteristics of a fault system of F1 in this mine are determined using a pumping test method and isotope technology. Hydraulic connections between the Majiagou group and Xiaoxian group are given a detailed illustration. The results show that the F1 group of faults is channeling water. Under significant drawdown, fissure water and Lower Pleistocene porous confined water are indirect sources of mine water, but water supply in unit time is limited. According to the analysis results, water will enter the pit during mining at a rate of 12,680 m3/d. In contrast, if the transmission performance of the F1 group of faults is ignored, the porous confined water will not enter the pit, and the mine water inflow will be 9700 m3/d. This is a decrease of 2980 m3/d, accounting for 30.72 % of mine water inflow. Therefore, the effect of water sources on mine water inflow cannot be ignored.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Kluwer Academic Publishers, Norwell 256 CrossRef Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Kluwer Academic Publishers, Norwell 256 CrossRef
Zurück zum Zitat Coplen TB (1994) Reporting of stable hydrogen, carbon, and oxygen isotopic abundances. Pure Appl Chem 66:273–276CrossRef Coplen TB (1994) Reporting of stable hydrogen, carbon, and oxygen isotopic abundances. Pure Appl Chem 66:273–276CrossRef
Zurück zum Zitat Coplen TB, Wildman JD, Chen J (1991) Improvements in the gaseous hydrogen-water equilibration technique for hydrogen isotope ratio analysis. Anal Chem 63:910–912CrossRef Coplen TB, Wildman JD, Chen J (1991) Improvements in the gaseous hydrogen-water equilibration technique for hydrogen isotope ratio analysis. Anal Chem 63:910–912CrossRef
Zurück zum Zitat Doulati Ardejanii F, Rooki R, Jodieri Shokri B, Eslam Kish T, Aryafar A, Tourani P (2013) Rare earth elements prediction in neutral alkaline mine drainage from the Razi coal mine of the Golestan Province, northeast Iran using general regression neural network. J Environ Eng 139(6):896–907CrossRef Doulati Ardejanii F, Rooki R, Jodieri Shokri B, Eslam Kish T, Aryafar A, Tourani P (2013) Rare earth elements prediction in neutral alkaline mine drainage from the Razi coal mine of the Golestan Province, northeast Iran using general regression neural network. J Environ Eng 139(6):896–907CrossRef
Zurück zum Zitat Epstein S, Mayeda T (1953) Variation of O-18 content of water from natural sources. Geochim Cosmochim Acta 4:213–224CrossRef Epstein S, Mayeda T (1953) Variation of O-18 content of water from natural sources. Geochim Cosmochim Acta 4:213–224CrossRef
Zurück zum Zitat Jakubick A, Jenk U, Kahnt R (2002) Modelingofmine flooding and consequences in the mine hydrogeological environment: flooding of the Koenigstein mine, Germany. Environ Geol 42:222–234CrossRef Jakubick A, Jenk U, Kahnt R (2002) Modelingofmine flooding and consequences in the mine hydrogeological environment: flooding of the Koenigstein mine, Germany. Environ Geol 42:222–234CrossRef
Zurück zum Zitat Lee D, Yim G-J, Ji S-W, Cheong Y-W (2012) Study on distribution characteristics of some water parameters properties of mine drainage in an oxidation pond, Hwangji-Yuchang coal mine, South Korea. Environ Earth Sci. doi:10.1007/s12665-012-1735-7 Lee D, Yim G-J, Ji S-W, Cheong Y-W (2012) Study on distribution characteristics of some water parameters properties of mine drainage in an oxidation pond, Hwangji-Yuchang coal mine, South Korea. Environ Earth Sci. doi:10.​1007/​s12665-012-1735-7
Zurück zum Zitat Parizi HS, Samani Nozar (2014) Environmental isotope investigation of groundwater in the Sarcheshmeh copper mine area, Iran. Mine Water Environ 33:97–109CrossRef Parizi HS, Samani Nozar (2014) Environmental isotope investigation of groundwater in the Sarcheshmeh copper mine area, Iran. Mine Water Environ 33:97–109CrossRef
Zurück zum Zitat Pourjabbar A, Sârbu C, Kostarelos K, Einax JW, Büchel G (2014) Fuzzy hierarchical cross-clustering of data from abandoned mine site contaminated with heavy metals. Comput Geosci 72:122–133CrossRef Pourjabbar A, Sârbu C, Kostarelos K, Einax JW, Büchel G (2014) Fuzzy hierarchical cross-clustering of data from abandoned mine site contaminated with heavy metals. Comput Geosci 72:122–133CrossRef
Zurück zum Zitat Qian JZ, Zhan HB, Zhao WD, Sun FZ (2005) Experimental study of turbulent unconfined groundwater flow in a single fracture. J Hydrol 311:134–142CrossRef Qian JZ, Zhan HB, Zhao WD, Sun FZ (2005) Experimental study of turbulent unconfined groundwater flow in a single fracture. J Hydrol 311:134–142CrossRef
Zurück zum Zitat Révész K, Coplen TB (2007) Determination of the d(2H/1H) of water: RSIL lab code 1574. In: Révész K, Coplen TB (eds) Methods of the Reston Stable Isotope Laboratory, US Geological Survey, techniques and methods (Book 10, sec. C, Chapter 1) Révész K, Coplen TB (2007) Determination of the d(2H/1H) of water: RSIL lab code 1574. In: Révész K, Coplen TB (eds) Methods of the Reston Stable Isotope Laboratory, US Geological Survey, techniques and methods (Book 10, sec. C, Chapter 1)
Zurück zum Zitat Révész K, Coplen TB (2008) Determination of the d(18O/16O) of water: RSIL Lab Code 489. In: Révész K, Coplen TB (eds) Methods of the Reston Stable Isotope Laboratory. US Geological Survey, Techniques and Methods, (Book 10, sec. C, Chapter 2) Révész K, Coplen TB (2008) Determination of the d(18O/16O) of water: RSIL Lab Code 489. In: Révész K, Coplen TB (eds) Methods of the Reston Stable Isotope Laboratory. US Geological Survey, Techniques and Methods, (Book 10, sec. C, Chapter 2)
Zurück zum Zitat Rooki R, Doulati Ardejani F, Aryafar A, Bani Asadi A (2011) Prediction of heavy metals in acid mine drainage using artificial neural network (ANN) from the Shur River of the Sarcheshmeh porphyry copper mine, Southeast Iran. Environ Earth Sci 64:1303–1316CrossRef Rooki R, Doulati Ardejani F, Aryafar A, Bani Asadi A (2011) Prediction of heavy metals in acid mine drainage using artificial neural network (ANN) from the Shur River of the Sarcheshmeh porphyry copper mine, Southeast Iran. Environ Earth Sci 64:1303–1316CrossRef
Zurück zum Zitat Todd DK, Mays LW (2005) Groundwater hydrology, 3rd edn. Wiley, New York Todd DK, Mays LW (2005) Groundwater hydrology, 3rd edn. Wiley, New York
Zurück zum Zitat Verhagen BTH, Geyh MA, Froehlich K, Wirth K (1991) Isotope hydrological methods for the quantitative evaluation of groundwater resources in arid and semi-arid areas. Federal Ministry for Economic Cooperation, Development of a methodology, Bonn, p 164 Verhagen BTH, Geyh MA, Froehlich K, Wirth K (1991) Isotope hydrological methods for the quantitative evaluation of groundwater resources in arid and semi-arid areas. Federal Ministry for Economic Cooperation, Development of a methodology, Bonn, p 164
Zurück zum Zitat Vermeulen PD, Burger M, van Wyk A, Lukas E (2014) Using environmental isotopes in a coal mine and a gold mine to determine groundwater interaction. Mine Water Environ 33:15–23CrossRef Vermeulen PD, Burger M, van Wyk A, Lukas E (2014) Using environmental isotopes in a coal mine and a gold mine to determine groundwater interaction. Mine Water Environ 33:15–23CrossRef
Zurück zum Zitat Walton-Day K, Poeter E (2009) Investigating hydraulic connections and the origin of water in a mine tunnel using stable isotopes and hydrographs. Appl Geochem 24:2266–2282CrossRef Walton-Day K, Poeter E (2009) Investigating hydraulic connections and the origin of water in a mine tunnel using stable isotopes and hydrographs. Appl Geochem 24:2266–2282CrossRef
Zurück zum Zitat Wu Q, Fan S, Zhou W (2013) Application of the analytic hierarchy process to assessment of water inrush: a case study for the No. 17 coal seam in the Sanhejian coal mine, China. Mine Water Environ 32:229–238CrossRef Wu Q, Fan S, Zhou W (2013) Application of the analytic hierarchy process to assessment of water inrush: a case study for the No. 17 coal seam in the Sanhejian coal mine, China. Mine Water Environ 32:229–238CrossRef
Zurück zum Zitat Yao HM, Vuthaluru HB, Tade MO, Djukanovic D (2005) Artificial neural network-based prediction of hydrogen content of coal in power station boilers. Fuel 84:1535–1542 Yao HM, Vuthaluru HB, Tade MO, Djukanovic D (2005) Artificial neural network-based prediction of hydrogen content of coal in power station boilers. Fuel 84:1535–1542
Metadaten
Titel
Determining sources of mine water based on hydraulic characteristics analysis of a fault system
verfasst von
Mei Yao
Peigui Liu
Manting Shang
Yuezan Tao
Chao Lei
Lugan Cao
Publikationsdatum
01.05.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Environmental Earth Sciences / Ausgabe 10/2016
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-016-5660-z

Weitere Artikel der Ausgabe 10/2016

Environmental Earth Sciences 10/2016 Zur Ausgabe