CVP_attenuation_Anatolia

Cappadocia Volcanic Province: Data Acquisition and Preprocessing for Seismic Attenuation Imaging

This is for seismic data acquiring and pre-processing procedure of MuRAT

Prerequisites

• Anaconda or Miniconda

Setting up the environment

1. Clone the repository:

   git clone https://github.com/yourusername/your-repo-name.git
   cd your-repo-name
   

2. Create the Conda environment:

   conda env create -f environment.yml
   

3. Activate the environment:

   conda activate your-env-name
   

Usage

This process consists of 8 steps in total, and is still undergoing improvements.

Step-0: Acquiring the seismic event catalog

0_event_catlog_acquire.py 0_KOERI_catlog.py

01_events_plot.py: visualizing the seismic event distribution

Step-1: Mass downloading the metadata

1_mass_download.py

Step-2: Remove Response and Pre-processing

2_remove_response.py

Step-3: Delete Events with Sparse SAC file and Extract Station Lists

3_delete_less_5.py

Step-4: Set Theoretical Arrivals and Prepare SAC Files for AI tools Picking

4_TauP_PS.py

#PhaseNet#

python phasenet/predict.py --model=model/190703-214543 --data_list=CAP_SAC/results/sac.csv --data_dir=CAP_SAC --format=sac --batch_size=1 --plot_figure --result_dir=CAP_SAC/results

Step-5: Filter Picking Results

5_filter.py

Step-6: Change SAC headers

6_change_header.py

Step-7: Picks Outlier

7_picks_outlier.ipynb

Step-8: QC-Visualizing Check

8_check_visualizing.ipynb