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Dynamic imaging of metallic contamination plume based on self-potential data 被引量:5
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作者 Yi-an CUI Xiao-xiong ZHU +2 位作者 wen-sheng wei Jian-xin LIU Tie-gang TONG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2017年第8期1822-1830,共9页
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 po... 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. 展开更多
关键词 dynamic imaging SELF-POTENTIAL metallic contamination extended Kalman filter
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