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Report No.
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A Data processing technique of removing DC railway noise from time domain magnetotelluric data

Makuuchi, Ayumu; Asamori, Koichi; Negi, Tateyuki*

Even though applying the far remote reference magnetotelluric (MT) method, we need long recording period to obtain usable data from the contaminated data by strong and coherent noise in DC railway area. In the recorded MT time series sampled continuously at 15Hz, the noises from DC railway are recorded as square waves in electric time series and as pulses in magnetic time series measured by induction coil. In this study, we attempt to identify and delete the short time windows which are contaminated by the DC railway noises in magnetic time series automatically, and then we attempt to interpolate these windows by plausible data which are calculated as a response of reference magnetic time series. MT sounding curves obtained by above processing are improved over curves obtained from raw data.

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