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赵家寨矿井充水水源的综合判别分析
引用本文:冯建超,连会青,韩永,陈建东.赵家寨矿井充水水源的综合判别分析[J].华北科技学院学报,2014(11):52-56.
作者姓名:冯建超  连会青  韩永  陈建东
作者单位:1. 新郑煤电股份有限公司赵家寨煤矿,河南 新郑,451150
2. 华北科技学院安全工程学院,北京 东燕郊 101601; 中国矿业大学 北京 资源与安全工程学院,北京 100083
3. 华北科技学院安全工程学院,北京 东燕郊,101601
基金项目:河北省自然科学基金(E2013508123);中央高校基本科研业务费
摘    要:本文以赵家寨矿井为研究对象,采集了奥灰岩水样7个,L1-4灰岩水样6个,L7-8灰岩水样25个,砂岩水样2个,第三系水样1个,第四系地下水样1个,老空水样1个。灰岩水样分析结果表明,不同含水层水化学类型有一定差异,如以L7-8灰岩水HCO3-SO4型水为主。以六大离子作为判别因子,经灰色关联度分析、判别分析以及BP神经网络判别模型3种判别方法,对突水水源判别对比,综合选择出适当的水源判别方法。研究表明,该矿井以六大离子作为判别因子时选择BP神经网络分析法进行预测的结果更加可靠。

关 键 词:充水水源  灰岩水  BP神经网络  灰色关联度  判别分析

The synthetic discrimination and analysis of the water -filled sources in Zhaojiazhai Coalmine
FENG Jian-chao,LIAN Hui-qing,HAN Yong,CHEN Jian-dong.The synthetic discrimination and analysis of the water -filled sources in Zhaojiazhai Coalmine[J].Journal of North China Institute of Science and Technology,2014(11):52-56.
Authors:FENG Jian-chao  LIAN Hui-qing  HAN Yong  CHEN Jian-dong
Institution:FENG Jian-chao, LIAN Hui-qing, HAN Yong, CHEN Jian-dong ( 1. Zhaojiazhai Coal Mine, Xinzheng Coal and Electricity Co. Ltd. , Xinzheng,451150, China ; 2. School of Safety Engineering, North China Institute of Science and Technology, Yanjiao, 101601, China ; 3. School of Resources and Safety Engineering, China University of Mining and Technology, Beijing , 100083, China )
Abstract:In this paper,7 water samples of Ordovician limestone aquifer,6 water samples of L1 -4 limestone aquifer,25 water samples of L7 -8 limestone aquifer and 7 water samples of other aquifers were collected for the study from ZhaojiaZhai Coalmine.The results show that the water types of different aquifers were different in a certain degree,for example,the L7 -8 limestone water type is HCO3 -SO4.Choosing 6 ions as discriminant factors,grey relational grade analysis,discriminant analysis and BP neural network were used to distinguish the water sources.Then,the method of BP neural network was selected out to be the best suitable mathemati-cal discrimination method.
Keywords:source of water -filled  BP neural network  grey relational grade analysis  discriminant analysis
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