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-CG 固体地球科学複合領域・一般

[S-CG44] Science of slow-to-fast earthquakes

2022年6月3日(金) 11:00 〜 13:00 オンラインポスターZoom会場 (23) (Ch.23)

コンビーナ:加藤 愛太郎(東京大学地震研究所)、コンビーナ:田中 愛幸(東京大学理学系研究科)、山口 飛鳥(東京大学大気海洋研究所)、コンビーナ:波多野 恭弘(大阪大学理学研究科)、座長:永冶 方敬(東京大学大学院理学系研究科)、Anca Opris(Research and Development Center for Earthquake and Tsunami Forecasting)

11:00 〜 13:00

[SCG44-P27] NccPy: an open-source earthquake relocation package for higher resolution hypocenter and centroid locations with cross correlation approaches

*張 大維1井出 哲1 (1.東京大学)

キーワード:地震震源再決定、相互相関、Network correlation coefficient

Cross-correlation-based centroid relocation approaches have been widely implemented and are often shown to be very effective in reducing uncertainties in earthquake centroid locations. In comparison, hypocenter locations of earthquakes are conventionally determined and improved by using phase picking information, which tend to result in higher uncertainty that originates from picking errors. Brutal attempts to implement cross correlations with onset phases to relocate hypocenters are prone to failures if “the correct segments”, i.e., the onset segment of seismic phases, are not used to perform the cross corrections. Here, we have succeeded in cross-correlation-based hypocenter relocation by including an additional grid search to automatically identify the onset segments to perform cross correlations with. Combined this new approach with the existing network correlation coefficient (NCC) method, a centroid relocation method, we then further perform joint inversions to determine hypocenter and centroid locations of all events simultaneously, using smaller events as anchors that links the hypocenters and centroids of larger events. Extensive tests and benchmarking have been carried out to evaluate the performance of the relocation results. The package that realizes the above, named NccPy, can now be easily accessed via Github.