基于自然电场监测的金属污染物动态成像（英文）

发布时间：2018-03-29 06:25

  本文选题：动态成像　切入点：自然电场　出处：《Transactions of Nonferrous Metals Society of China》2017年08期

【摘要】：提出了自然电场数据的动态成像方法。基于达西定律和阿尔奇公式,构建模拟孔隙介质中金属离子运动的动态模型。采用能斯特方程计算金属离子的氧化还原电位。在此基础上建立自然电场监测金属离子活动的状态模型和观测模型,利用扩展卡尔曼滤波技术对金属离子活动过程进行动态成像。模拟数据测试结果表明,该方法能有效将金属离子运动模型与自然电场观测数据融合,实现动态成像。进一步沙箱监测实验表明,自然电场法可以有效监测金属离子污染,利用动态成像方法可以有效重构金属离子的扩散过程。
[Abstract]:Based on Darcy's law and Archie's formula, a dynamic imaging method for natural electric field data is proposed. A dynamic model of metal ion movement in porous media was established. The redox potential of metal ions was calculated by Nernst equation. Based on this model, a state model and an observation model for monitoring metal ion activity by natural electric field were established. The dynamic imaging of metal ions is performed by using extended Kalman filter technique. The simulated data show that the proposed method can effectively fuse the metal ion motion model with the natural electric field observation data, and the simulation results show that the proposed method can effectively fuse the metal ion motion model with the natural electric field observation data. Further sandbox monitoring experiments show that the natural electric field method can effectively monitor metal ion contamination and the diffusion process of metal ions can be reconstructed by using dynamic imaging method.
【作者单位】： 中南大学地球科学与信息物理学院;中南大学有色资源与地质灾害探查湖南省重点实验室;中南大学教育部有色金属成矿预测重点实验室;
【基金】：Project(41574123) supported by the National Natural Science Foundation of China Project(2013FY110800) supported by the National Basic Research Scientific Program of China
【分类号】：O657.1;X830
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本文编号：1679923