首页> 外文会议>International Mine Water Association Congress >Relations between chemical variables in Acid Mine Drainage process: An Application of Fuzzy Clustering Algorithms to the Characterization
【24h】

Relations between chemical variables in Acid Mine Drainage process: An Application of Fuzzy Clustering Algorithms to the Characterization

机译:酸性矿井排水过程化学变量的关系:模糊聚类算法在表征中的应用

获取原文
获取外文期刊封面目录资料

摘要

In the present work, Acid Mine Drainage processes in the Chorrito Stream, which flows into the Cobica River (Iberian Pyrite Belt, Southwest Spain) are characterized by means of clustering techniques based on fuzzy logic. Also, pH behavior in contrast to precipitation is clearly explained, proving that the influence of rainfall inputs on the acidity and, as a result, on the metal load of a riverbed undergoing Acid Mine Drainage processes highly depends on the moment when it occurs. In general, the riverbed dynamic behavior is the response to the sum of instant stimuli produced by isolated rainfall, the seasonal memory depending on the moment of the target hydrological year and, finally, the own inertia of the river basin, as a result of an accumulation process caused by age-long mining activity.
机译:在本作的工作中,酸矿排水过程在Chorrito流中流入Cobica河(伊比利亚黄铁矿带,西南西南部)的特点是基于模糊逻辑的聚类技术。此外,清楚地解释了与降水形成对比的pH行为,证明了降雨投入对酸度的影响以及河床的金属负荷高度取决于它发生的速度。一般来说,河床动态行为是对由孤立的降雨量产生的即时刺激和季节性记忆的响应,这取决于目标水文一年的时刻,最后是河流盆地的惯性,因此年长矿业活动引起的累积过程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
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