基于自然电场监测的金属污染物动态成像
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| Published in: | 中国有色金属学报：英文版 Vol. 27; no. 8; pp. 1822 - 1830 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | Get full text |
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| Bibliography: | 43-1239/TG A dynamic imaging method for monitoring self-potential data was proposed.Based on the Darcy’s law and Archie’sformulas,a dynamic model was built as a state model to simulate the transportation of metallic ions in porous medium,and theNernst equation was used to calculate the redox potential of metallic ions for observation modeling.Then,the state model andobservation model form an extended Kalman filter cycle to perform dynamic imaging.The noise added synthetic data imaging testshows that the extended Kalman filter can effectively fuse the model evolution and observed self-potential data.The further sandboxmonitoring experiment also demonstrates that the self-potential can be used to monitor the activities of metallic ions and exactlyretrieve the dynamic process of metallic contamination. dynamic imaging; self-potential; metallic contamination; extended Kalman filter |
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| ISSN: | 1003-6326 |