AI-PAL

AI-PAL: Localize AI Phase Picker with Rule-based Algorithm for Generalized Earthquake Detection

AI-PAL Workflow

1. PAL

1.1 phase Picking
1.2 phase Association
1.3 event Location

• Usage (see run_pal for example workdir)
  (1) Prepare continuous data into consistent directory structure
  (2) Run PAL

2. SAR (see run_sar for example workdir)

2.1 Train SAR model

python 1_cut_train-samples.py
python 2_sac2zarr.py
python 3_train.py

2.2 Run SAR picker & PAL associator

python 4_pick_stream.py
python 5_parallel_assoc.py

2.3 Locate and Relocate SAR-PAL detections

2.3.1 HypoINV absolute location
2.3.2 HypoDD double-difference relocation
(1) two-step relocation: dt.ct and dt.cc
(2) one-step relocation: dt.ct + dt.cc joint inversion

Tutorials

2021/10 Online training in Chinese: vedio recording on KouShare
2022/08 Online training in Chinese: vedio recording on KouShare

Installation

AI-PAL is a set of codes. All you need is to setup proper Python environment. This can be accomplished easily by installing Anaconda, Obspy, and Zarr sequentially.

Reference

• Zhou, Y.^*, H. Ding, A. Ghosh, & Z. Ge (2024, under review). AI-PAL: Localize AI Phase Picker with Rule-based Algorithm for Generalized Earthquake Detection. Journal of Geophysical Research: Solid Earth

• Zhou, Y., A. Ghosh, L. Fang^*, H. Yue^*, S. Zhou, & Y. Su (2021). A High-Resolution Seismic Catalog for the 2021 M_S6.4/M_w6.1 YangBi Earthquake Sequence, Yunnan, China: Application of AI picker and Matched Filter. Earthquake Science; 34(5): 390-398. doi: 10.29382/eqs-2021-0031

• Zhou, Y., H. Yue, L. Fang, S. Zhou^*, L. Zhao, & A. Ghosh (2021). An Earthquake Detection and Location Architecture for Continuous Seismograms: Phase Picking, Association, Location, and Matched Filter (PALM). Seismological Research Letters; 93(1): 413–425. doi: 10.1785/0220210111

• Zhou, Y., H. Yue^*, Q. Kong, & S. Zhou (2019). Hybrid Event Detection and Phase-Picking Algorithm Using Convolutional and Recurrent Neural Networks. Seismological Research Letters; 90(3): 1079–1087. doi: 10.1785/0220180319