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Chemical Characteristics Of Groundwater And Discriminate Models Of Water Brusting For Xingtai Coalmine Areas

Posted on:2016-03-31Degree:MasterType:Thesis
Country:ChinaCandidate:M LiuFull Text:PDF
GTID:2371330491952560Subject:Geological Resources and Geological Engineering
Abstract/Summary:PDF Full Text Request
Water inrush serious threat to the safety of coal production,especially with the increasing depth of mine year by year,the geological and hydrogeological conditions of mine is even more complex.There some visible signs of water inrush include the amount of water and water quality.If we can timely determine the mine water inrush before it occurs.It is significant for reducing the frequency of water inrush and damage.The article through the analysis of large amounts of water chemistry data about Xingtai Coalmine Areas located in the karst mine in North China.Summarize and analyze water chemistry information to achieve the purposes of determining the mine water source accurately as well as the possibility of water inrush and eliminate potential water inrush.Though comprehensive comparison of lateral and vertical variations of features in mine water chemistry,we can discovery hydrogeological problems,which reflect under mining conditions.The article uses water inrush chemical characteristics to determine the feasibility of water sources.Piper plots,box plots and cluster analysis are screened for the establishment of the mine water criterion set,building sudden major aquifer water sources criterion set and take the Xingdong mine as example.Take the sandstone water,yeqing water,fuqing water and ordovician limestone water in Xingdong mine as the background values,using characteristic ions,gray correlation,Fisher,BP neural networks,fuzzy mathematics to establish a comprehensive source discrimination model.To make full use of the advantages discrimination method and comtrast each other in determining the course.Mine excavation process water samples are collected to identify water sources,the results are compared with the actual data.The accuracy rate is 95%.Avoiding use a single method of source discrimination,accurate rate fluctuating phenomenon,the results are more reliable.The model can provide a scientific basis to guide prevention and treatment of mine water inrush.
Keywords/Search Tags:Xingtai coalmine areas, water hydrological characteristics, Characteristicion, Nonlinear gray correlation, Fisher, BP Neural Networks, comprehensive discrimination of mine water bursting source
PDF Full Text Request
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