日本地球惑星科学連合2022年大会

講演情報

[E] ポスター発表

セッション記号 S (固体地球科学) » S-EM 固体地球電磁気学

[S-EM14] Electric, magnetic and electromagnetic survey technologies and scientific achievements

2022年5月31日(火) 11:00 〜 13:00 オンラインポスターZoom会場 (21) (Ch.21)

コンビーナ:馬場 聖至(東京大学地震研究所)、コンビーナ:後藤 忠徳(兵庫県立大学大学院生命理学研究科)、内田 利弘(0)、コンビーナ:Li Yuguo(Ocean University of China)、座長:馬場 聖至(東京大学地震研究所)、後藤 忠徳(兵庫県立大学大学院理学研究科)

11:00 〜 13:00

[SEM14-P02] Adaptive filtering estimation of magnetotelluric impedance tensor: Preliminary results

*Yunju Wu1Yuguo Li1,2 (1.Ocean University of China、2.Key Lab of Submarine Geosciences and Prospecting Techniques of Ministry of Education)

キーワード:Adaptive filtering algorithm, data processing, Impedance tensor, Magnetotelluric

For estimating the impedance tensor elements of magnetotelluric data, a variety of methods have been developed since 1970s. The least square estimation is the optimal unbiased estimation if errors in MT data are uncorrelated and independent gaussian noise. The robust estimation can eliminate the influence of outliers and leverage points in MT field data, while the remote reference method can reduce the impact of local noise in MT dada. With the use of these estimation methods, one can obtain MT impedance tensor at a number of frequencies, which often are equal distributed at logarithmical scale. The impedance tensor at each frequency is estimated independently. In this paper, we propose a method for estimating MT impedance tensor based on an adaptive filtering algorithm. With the use of this method, the impedance tensors at all frequencies can be obtained and the estimated value of impedance tensor at a frequency is related to that at its neighboring frequency. Some preliminary results of both synthetically and measured MT data will be presented and compared with these obtained by using robust-m method.