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Analysis Of Water Chemistry Characteristics Of Pan Er Mine And Discrimination Of Water Inrush Source

Posted on:2020-06-24Degree:MasterType:Thesis
Country:ChinaCandidate:S Y ZhangFull Text:PDF
GTID:2370330575453725Subject:Geological Resources and Geological Engineering
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The problem of mine water damage has always been related to the safe production of coal mines.The premise of solving the problem of mine water inrush is to distinguish the water source of the water inrush and take preventive measures in advance,which can effectively prevent and reduce the probability of water damage accidents.Taking Pan Erjing Field as the object of discussion,based on the understanding of the geological and hydrogeological conditions of the minefield,the characteristics of the fill,diameter,drainage and filled with water are analyzed.The Piper three-line diagram and Gibbs diagram method and ion proportional coefficient method were used to analyze the water chemistry and genetic mechanism of different aquifers in the mine field.Based on the combination of anion and cation in each aquifer,CRITIC and matter-element extension model theory,PCA and Bayes were used.The water source identification model was established by theory.Finally,the water level dynamics and water temperature characteristics of the well observation hole were used to verify the water inrush.Concluded as follow:(1)The water quality types of different aquifers in the minefield are different.The chemical composition of aquifer water is mainly controlled by evaporation and hydrolytic dissociation.The dissolution of silicate minerals and sulfate minerals is important for water quality formation in the study area.driving force.(2)The results of water chemistry identification are that the water inrush water sources 1 and 2 are coal-based sandstone water,the water inrush water source 3 is the Austrian gray water,and a small amount of water may be too gray water.CRITIC theory and matter element extension model and PCA and Bayes water source water discrimination model,wherein the water source discrimination rate of CRITIC theory and matter element extension model is 100%;the recognition rate of PCA and Bayes discriminant model is 75%.(3)Groundwater level dynamics and groundwater temperature The identification results of the water inrush from the 12123 working face are the ash water,the groundwater level dynamics and the water temperature.The two methods further demonstrate the accuracy of the groundwater hydrochemical identification and multivariate statistical methods.Figure [26] Table [16] Reference [94]...
Keywords/Search Tags:water inrush, water chemistry, matter-element extension theory, principal component analysis, Bayes discrimination
PDF Full Text Request
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