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| | Abstract | | Electric and magnetic field data are obtained by Magnetotelluric (MT) surveys, and often contain noises. If the noises are strong and coherent between electric and magnetic field, MT response functions derived by conventional method are far from true values. This can cause large errors in the inferred subsurface resistivity structure. In this study, we focused on Frequency Domain Independent Component Analysis (FDICA), which has been used for sound analysis. FDICA was applied for MT data at Kakioka Magnetic Observatory. As a result, compared with conventional method, apparent resistivity curves derived by FDICA were the almost same but the estimated error became smaller. To evaluate noise reduction performance of FDICA, two hypothetical noises were added to MT data at Kakioka Magnetic Observatory, then FDICA was applied for them. The efficiency was improved greatly by FDICA, better than the conventional method. |
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