Coder Social home page Coder Social logo

wzsheng / shallowseismicimaging Goto Github PK

View Code? Open in Web Editor NEW

This project forked from seispider/shallowseismicimaging

0.0 0.0 0.0 673.17 MB

Developing project for shallow seismic structure imaging

License: Apache License 2.0

Python 99.86% Shell 0.14%

shallowseismicimaging's Introduction

ShallowSeismicImaging

Tools to image the shallow seismic structure, above 10 km, based on the ZH ratio measured from the ambient seismic noise, and P polarization from tele-seismic P wave

Installation

First clone this repository or download code on machine where you would like to setup.

- Clone the repo

$ git clone https://github.com/SeisPider/ShallowSeismicImaging.git
$ cd ShallowSeismicImaging

- Install Python

Windows,Mac,Linux

- Instal SAC

SAC

- Install requirements.txt

$ pip install -r requirements.txt

Above command will install all the dependencies of project.

Folder structure

.
├── LICENSE
├── Noise.ZHratio.Measurement             # Measurment technique to obtain ZH ratio from ambient seismic noise
│   ├── Measurement                       # Measurement of ZH ratio
│   │   ├── Step1.Measurement.py         
│   │   ├── Step2.Constrain.moveavg.py
│   │   ├── Step3.Decomposition.py
│   │   ├── __pycache__
│   │   ├── info                          # Info. of seismic stations to measure
│   │   ├── measured.new3.Verification    # Verification for measurement result
│   │   ├── run.test.sh
│   │   └── utils.py                    
│   ├── data                              # Seismic wvaeform stored by date, with instrumental response removed to velocity
│   │   └── getData.py
│   └── src                               # Source code for ZH ratio measurement
│       ├── Noise.py
│       ├── __init__.py
│       ├── __pycache__
│       └── utils.py
├── Polarization.Analysis                 # Measurement and inverison of P wave polarization
│   ├── analysis
│   │   ├── MOD.Verification
│   │   ├── POL.Verification
│   │   ├── Step1.Ppicks.py               # Automatic pick P arrival
│   │   ├── Step2.MeasureP.py             # Measure P apparent polariztaion angle
│   │   ├── Step3.PureInvertS.py          # Inversion for the Near-surface Vs 
│   │   ├── info                          # Info. of seismic stations to measure P polarization 
│   │   └── src                           # Source code for P polarization analysis
│   └── data                              # Seismic wvaeform stored by event, with instrumental response removed to velocity
│       └── getData.py
├── README.md
└── requirements.txt
   

Data preprocessing

Continous waveform for ZH ratio measurements: decimate to 1Hz, remove instrumental response to velocity, badnpass filter and cut into daily segments.

⚠️ Don't change the waveform phase: Bandpass filter first and then decimate the data.

Earthquake data for P polarization analysis: remove instrumental response to velocity and badnpass filter

Support

If you face any problem or issue in configuration or usage of ShallowSeismicImaging project as per the instruction documented above, Please feel free to communicate with ShallowSeismicImaging Development Team.

Reference

Xiao X, Cheng S, Wu J, et al. Shallow seismic structure beneath the continental China revealed by P-wave polarization, Rayleigh wave ellipticity and receiver function[J]. Geophysical Journal International, 2021, 225(2): 998-1019.

shallowseismicimaging's People

Contributors

seispider avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.