首页> 外文期刊>煤炭学报:英文版 >Establishment of water source discrimination model in coal mine by using hydrogeochemistry and statistical analysis: a case study from Renlou Coal Mine in northern Anhui Province, China
【24h】

Establishment of water source discrimination model in coal mine by using hydrogeochemistry and statistical analysis: a case study from Renlou Coal Mine in northern Anhui Province, China

机译:利用水文地球化学和统计分析建立煤矿水源判别模型-以安徽省北部仁楼煤矿为例

获取原文
获取原文并翻译 | 示例
       

摘要

The demand for energy consumption promotes to find more coal in deep underground up to 1000 m and brings more serious situation of water disaster.As one of the major methods for water disaster control,hydrogeochemistry attracts a series of studies related to water source discrimination.In this paper,a simple method for constructing the water source discrimination model based on major ions and multivariate statistical analysis was reported using the following procedures:① collection of data and interpretation,② analysis of controlling factors based on the chemical composition of groundwater,③ "pure" sample chosen,and ④ discrimination model establishment.After the processes,two functions and a diagram were established for three aquifers (the Quaternary,Coal bearing,and Taiyuan Fm.) from the Renlou Coal Mine in northern Anhui Province,China.The method can be applied in almost all coal mines and can be used for evaluating the contribution ratios if the water is collected from a mixing source.
机译:能源消耗的需求促进了在1000 m以内的地下深处发现更多的煤,并带来了更严重的水灾形势。水地球化学作为水灾控制的主要方法之一,吸引了一系列与水源判别有关的研究。本文报告了一种基于主要离子和多元统计分析的简单的水源判别模型构建方法,该方法使用以下程序:①数据收集和解释,②根据地下水的化学成分分析控制因素,③”经过选择,建立了④判别模型。在此过程之后,为皖北省仁楼煤矿的三个含水层(第四系,含煤层和太原组)建立了两个函数和一个图表。如果从混合酸中收集水,则该方法可用于几乎所有煤矿,并可用于评估贡献率。 ce。

著录项

  • 来源
    《煤炭学报:英文版》 |2012年第004期|385-389|共5页
  • 作者

    SUN Lin-hua; GUI He-rong;

  • 作者单位

    School of Earth Science and Engineering, Suzhou University, Suzhou 234000, China;

    School of Earth Science and Engineering, Suzhou University, Suzhou 234000, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类
  • 关键词

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号