Assessing mine water quality using a hierarchy fuzzy variable sets method: a case study in the Guojiawan mining area, Shaanxi Province, China

2019 ◽  
Vol 78 (8) ◽  
Author(s):  
Wang Tiantian ◽  
Jin Dewu ◽  
Yang Jian ◽  
Liu Ji ◽  
Wang Qiangmin
2021 ◽  
Author(s):  
Yang Liu ◽  
Jian Yang ◽  
Qiang Ma ◽  
Xuesong Ding ◽  
Ang Li ◽  
...  

Abstract In order to distinguish the differences of hydrogeochemical characteristics between coal measures strata and aquifers on the roof of deep buried mining areas in Inner Mongolia-Shaanxi, China, this paper adopted inorganic components, environmental isotopes and organic components to study water quality comprehensively. The results show that the deep buried mining area in Inner Mongolia-Shaanxi belongs to Mu Us Desert, and the surface is covered by aeolian sand, so it has excellent precipitation infiltration capacity. Mineralization of surface water and Quaternary water < 500mg/L, the cation is mainly Ca2+, the anion is mainly HCO3−, which belongs to HCO3-Ca·Mg type water. The Cretaceous Zhidan Group is in unconformable contact with the Quaternary, and constitutes a unified water-bearing complex on the whole, which makes Zhidan Group have a better supply water source, and its inorganic water quality characteristics are close to the Quaternary water; The deep aquifer is affected by the Anding formation relative impermeable layer and its recharge runoff condition is weak. The salinity of Jurassic water is generally > 3500mg/L due to long-term water-rock action. The cation is dominated by Na+ and the anion is dominated by SO42−, which belongs to SO4-Na type water. According to the analysis of hydrochemical characteristics, there is no direct hydraulic connection between Luohe Formation and Zhiluo Formation. The characteristics of environmental isotopes show that the rainwater, surface water and Quaternary water in the study area belong to the modern groundwater, while Zhidan Group water is between the modern groundwater and the ancient water. The values of δD and δ18O in the deep Straight Rom Group and Yan’an Group are low, and the groundwater falls below the rainwater line of Ordos Basin with a deep circulation depth. Before mining, the groundwater is in the stagnant state with good closed conditions. The content of dissolved organic matter (TOC and UV254) in groundwater decreases gradually with the increase of aquifer depth; Fluorescence peaks in Area I and Area III mainly appeared in surface water and Quaternary water, and DOM sources in surface water were more abundant; The fluorescence peak in Area I also appears in the water of Zhidan Group, Straight Rom Group and Yan’an Group, and the fluorescence peak between Area I and Area II is a symbol; The fluorescence peak intensity of Cretaceous → Straight Rom Group in Area V area has an increasing trend, indicating that there are humus like DOM from other sources in the deep Straight Rom Group aquifer. In general, the comprehensive analysis of hydrochemical characteristics by various means can well distinguish the differences of hydrogeochemical characteristics among aquifers, which provides a scientific basis for the rapid and accurate discrimination of water situation and disaster in coal mines and the safe production.


2021 ◽  
Vol 20 (3) ◽  
pp. 355-360
Author(s):  
Valentin Nedeff ◽  
Mirela Panainte-Lehadus ◽  
Alina Cochiorca ◽  
Adriano Fiorucci ◽  
Narcis Barsan ◽  
...  

2021 ◽  
Vol 299 ◽  
pp. 02015
Author(s):  
Ying Gao ◽  
Tao Li ◽  
Hongyang Liu

Groundwater flow into the mine by coal mining, which threatens the safety of coal mine. Therefore, it is necessary to identify the source of the water flowing into the coal mine. Taking binhuang mining area in Shaanxi Province as the research background, the discrimination models of six water inrush sources had been studied. The composition of 256 water samples was determined and the water quality characteristics of 6 water sources were analyzed. Fisher linear discriminant function model was established by selecting 9 indexes of water quality components. By testing the discriminant effect, it is considered that the probability of K1L aquifer misjudging as Q aquifer and surface water is high, and the misjudgment rate is 30.4%. Combined with the analysis of geological conditions, it is considered that K1L aquifer has a good hydraulic connection with Q aquifer and surface water. Aiming at the problem of misjudgment, the neural network analysis model is used, and the misjudgment rate is reduced to 0%.


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