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Water Inrush Source Discriminate Model Of Wangzhuang Coal Mine Based On Water Chemical Characetrisitcs

Posted on:2016-10-11Degree:MasterType:Thesis
Country:ChinaCandidate:S Q KongFull Text:PDF
GTID:2181330470951841Subject:Mining engineering
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Shanxi Province as the country’s major coal province, water inrush accidents haveoccurred, in water inrush prevention study more, but the use of hydrogeochemical methodbased on the study of mathematical model of prevention and control of the water there isalmost nothing. Mine water inrush water disaster is seriously restricted common disasters ofthe regular production of the mine, how to correctly and quickly determine coal mine waterinrush source location is the most important technique in the prevention and control of waterdisasters. Past the determination of water source water source only through simple physical,chemical, mathematics and other basic disciplines and basic means to determine the error rateis high and not accurate. In recent years, computer technology and mathematics modelcombined with molecular chemistry method is more and more popular, detection of chemicalmolecules can directly detect data at the atomic level, very stable and accurate, followed byon the computer running mathematical model to handle large data of molecular chemistry, tograsp the key points and the nature of the problem in the macro. This micro macro, and thenthrough the problem of big data analysis is very suitable for the safety requirements of coalmine.This paper intends to study the hydrogeological data of the company in Changzhi ShanxiWang Zhuang Coal Industry Co., Ltd.. Firstly, the basic hydrological report of Wang Zhuangcoal mine and geological data, including regional aquifer, aquitard aquifer area, Ida, Ida in thelayer; followed by analysis of Wang Zhuang coal mine in the water inrush of water chemistrycharacteristics, distribution and characteristics of ions, calculation of Wang Zhuang coal mineflushing strength; again by using mathematical model (multi step Bias and BP neural networktheory) were established discriminant model of Water Inrush Source in MATLAB and SPSS software, comparative analysis of water chemistry data a year of water inrush, the accuracyrate calculated by two methods; at the end of the Wang Zhuang coal mine in recentunclassified5sets of water inrush data discriminant, forecasting process water source location.Help mine take quick and effective advanced prevention measures of water inrush disaster.The main results and conclusions of this paper are:(1) There are four categories in Wangzhuang Coal Mine Water Inrush Source Type: inWangzhuang Coal Mine of Lower Permian Permian Lower Shihezi Formation and ShanxiFormation sandstone fissure aquifer (referred to as the lower Permian aquifer); Wang Zhuangcoal mine of Carboniferous upper Taiyuan Formation sandstone fissure and limestone karstfissure containing water by several layers of sandstone fissure aquifer (referred to asCarboniferous upper aquifer); water accumulating gob; lime fly ash and the OrdovicianZhongtong limestone karst fractured aquifer (referred to as lime fly ash and Ordovicianaquifer).(2) using MATLAB and SPSS software, combined with the mathematical model of multiplegroups gradually Bias and BP neural network, the establishment of the mine water inrushsource discriminant model of Wang Zhuang.(3) a comparative analysis of the water source data of a year ago is a year ago to calculate theaccuracy of the two methods.. The determination of the water source location of the5groupsof non classified data.(4) confirmed by isotope tracer method Correctnessdistinguishing water source location.(5) the correctness of the water source location is predicted by the change of the inflow waterquantity of the project before and after the governance scheme.This method is the most popular method for computer and mathematical model andmolecular chemistry.. The water quality types of groundwater are mainly the types of the Idaaquifer, the different of the recharge, runoff, excretion way, storage conditions and so on.. Thewater types and symbols of elements or ions are determined through the analysis of waterchemical characteristics of the water with; according to each containing water in typical anionoccurrence, thus obtains the regularity of distribution, in addition, with the mining depth,according to the vertical variation characteristics of typical ion that aquifer and goaf seeper ofvarious possible connectivity, for depth analysis to pave the way. Model of mine water inrush sources discriminant model to molecular chemistry based analysis of conflict detection waterchemical characteristics and later on a computer running mathematical model to handle largedata of molecular chemistry, first contrast classification. After analysis and prediction. Theresearch of the project has the function of predicting and supervising two aspects of waterinrush in the mine.. Predictive effect refers to the index of mine water inrush, ion waterconcentration, water level, pH value and so on, through the mathematic model of discriminantfunction calculation, an accurate prediction of the water inrush types may be combined withMATLAB and SPSS software. Based on hydrogeological map, analysis of water inrush sourcelocation, then you can take the method of grouting and filling, as early as possible the waterinrush hazards to a minimum. The supervision role refers to: after taking the measures ofcorresponding prevention and control of water disasters, continue to monitor water ionconcentration, pH value and other indicators, if these measures into numerically by SPSS tocalculate, does not belong to any kind of source of water inrush, water prevention and controlwork is satisfactory.
Keywords/Search Tags:water chemistry type, characteristic water ion, water inrushsource, Bias, BP neural network
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