Research of mine water source identification based on LIF technology

2016 ◽  
Author(s):  
Mengran Zhou ◽  
Pengcheng Yan
Keyword(s):  
Mine Water ◽  
Source Identification ◽  
Water Source

Development of Mine Water Source Identification System Based on MapObjects

2014 ◽  
Vol 602-605 ◽  
pp. 2195-2198
Author(s):  
De Min Liu ◽  
Liang Jing Zhang ◽  
Lian Tao Zhao ◽  
Zun Cai Yue
Keyword(s):  
Mine Water ◽  
Source Identification ◽  
Prevention And Control ◽  
Water Source ◽  
Identification System ◽  
Disaster Prevention ◽  
Mine Water Disaster ◽  
And Control ◽  
Water Disaster ◽  
Lower Group

In order to realize the mine water source identification and to prevent water accidents, taking Xinglong Zhuang coal mine’s lower group coal mining as an example, based on the analysis of mine hydrogeological conditions, the mine water source identification system was designed by using the software of MapObjects powerful spatial analysis ability and Bayesian classification analytical method. The software can achieve mine water source identification and provide a certain basis for mine water disaster prevention and control.

A full air cooling and heating system based on mine water source

2018 ◽  
Vol 145 ◽  
pp. 610-617 ◽  
Author(s):  
Xiao-Ping Feng ◽  
Zhemin Jia ◽  
Hao Liang ◽  
Zhenping Wang ◽  
Baoqi Wang ◽  
...  
Keyword(s):  
Mine Water ◽  
Water Source ◽  
Heating System ◽  
Air Cooling

Water Quality Assessment in the Mining and Industrial Region on the Example of Karachunovskyi Reservoir in Ukraine

2019 ◽  
Vol 33 ◽  
pp. 19-31 ◽  
Author(s):  
Liubov V. Hryhorenko
Keyword(s):  
Mine Water ◽  
Water Source ◽  
Water Quality Assessment ◽  
Water Sources ◽  
Quality Characteristic ◽  
Salt Composition ◽  
High Background ◽  
Long Period ◽  
Quality Of Water ◽  
Hygienic Standard

Quality of water from surface water source – Karachunovskyi reservoir for a long period of observation during (1965-1979), (1980-1990), (1991-2001), (2002-2012) years was studied. In water taken from Karachunovskyi reservoir was shown negative trend for increasing salt composition, by the content of general rigidity, dry residue, sulfates, chlorides for a long period of observation: from 1965 to 2012 years, which is caused by the systematic discharge of a highly mineralized mine water from the mining enterprises of Kryvyi Rih into Ingulets and Saksagan rivers, and subsequent pollution of Karachunovskyi reservoir – the main source of centralized drinking water supply 94% of the urban population. Generally, salt composition of the water from Karachunovskyi reservoir in some years of observation belonged to the 4th class of danger, i.e. "limited usable, undesirable quality". Characteristic feature of the Kryvorozhska urbanization zone is the presence of priority heavy metals (Mo, Mg, Cd, Ni, Zn, Fe, Cu, Pb, Cr) in water sources, due to the intensive extraction of iron ore. For example, average iron content in 2010 was (0.342±0.003) mg/dm3, which exceeded MPC (0.3 mg/dm3) on 1.14 times. The average content of manganese exceeded the hygienic standard in 2008 (1.42 MPC), in 2009 (1.3 MPC) and in 2010 (1.54 MPC) years, due to a high background content of this chemical element in the environmental facilities of the industrial city, and the annual discharge of highly mineralized mine water into local water sources.

Source identification of inrush water based on groundwater hydrochemistry and statistical analysis

2016 ◽  
Vol 11 (2) ◽  
pp. 448-458 ◽  
Author(s):  
Linhua Sun ◽  
Song Chen ◽  
Herong Gui
Keyword(s):  
Coal Mine ◽  
Environmental Protection Agency ◽  
Source Identification ◽  
Water Source ◽  
Rock Interaction ◽  
Aquifer System ◽  
Ion Concentrations ◽  
Major Ion ◽  
Aquifer Systems ◽  
Groundwater Hydrochemistry

Water source identification is important for water hazard controlling in coal mines. In this study, major ion concentrations of the groundwater collected from four representative aquifer systems in the Baishan coal mine, northern Anhui Province, China, have been analysed by a series of statistical methods. The results indicate that the major ion concentrations of the groundwater from different aquifer system are different with each other, and provided the possibility of water source identification based on hydrochemistry. Factor analysis indicates that these differences are controlled by different types of water rock interactions. The analysis based on US Environmental Protection Agency (EPA) Unmix model identified three sources (weathering of silicate minerals, dissolution of carbonate and evaporate minerals) responsible for the hydrochemical variations of the groundwater. Also, it shows that their contributions for the groundwater in different aquifer systems vary considerably. Based on these variations and on step by step analysis, the source aquifer system for the groundwater samples with unknown source has been determined and, similar to the result obtained by the cluster and discriminant analysis. Therefore, EPA Unmix model can be applied for water source identification in coal mine, as it can provide information about water rock interaction and water source identification simultaneously.

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