Coder Social home page Coder Social logo

loc-flow's Introduction

LOC-FLOW

Earthquake Location Workflow

LOCFLOW

LOC-FLOW is an “hands-free” earthquake location workflow to process continuous seismic records: from raw waveforms to well located earthquakes with magnitude calculations. The package assembles several popular routines for sequential earthquake location refinements, suitable for catalog building ranging from local to regional scales. DOI:10.5281/zenodo.5875084

The LOC-FLOW is released and maintained at https://github.com/Dal-mzhang/LOC-FLOW.

How to start? bash run_all.sh. Detailed step-by-step explanations can be found in the CookBook and corresponding scripts.

Dependent packages in LOC-FLOW include PhaseNet [contains Obspy], REAL, VELEST, HYPOINVERSE, hypoDD, GrowClust, FDTCC, Match&Locate; see [STEP 0 in the CookBook or src]. Questions related to the original packages should be addressed to the corresponding authors.

All other credits to Miao Zhang (also author of REAL and Match&Locate), Min Liu (also author of FDTCC), and Tian Feng, who integrated these packages and made the I/O codes publicly available. We thank Weiqiang Zhu for help with the PhaseNet. The CookBook is prepared by Ruijia Wang and Miao Zhang.

Users are free to make modifications to the programs to meet their particular needs, but are discouraged from distributing modified code to others without notification of the authors. If you find any part of the workflow useful, please cite our work or the corresponding publications of the packages.

Please download (src/software_download.py) and regularly check source code updates: PhaseNet: https://github.com/wayneweiqiang/PhaseNet; REAL: https://github.com/Dal-mzhang/REAL; FDTCC: https://github.com/MinLiu19/FDTCC; hypoDD: https://www.ldeo.columbia.edu/~felixw/hypoDD.html; GrowClust: https://github.com/dttrugman/GrowClust; Match&Locate: https://github.com/Dal-mzhang/MatchLocate2; HYPOINVERSE: https://www.usgs.gov/node/279394 or https://faldersons.net/Software/Hypoinverse/Hypoinverse.html

An English tutorial at https://drive.google.com/file/d/1Bka_bG55fJwXlvp8oJINgTRKqcnTrvpg/view?usp=drive_link; A Chinese tutorial at https://drive.google.com/file/d/1zlaubeYgmQnBeCO9dz627HXrtrwy79rm/view?usp=sharing (recorded video at https://www.koushare.com/video/videodetail/14767)

Questions and comments? Email Miao Zhang ([email protected])

References:

LOC-FLOW, FDTCC:
Zhang M., M. Liu, T. Feng, R. Wang, and W. Zhu. LOC-FLOW: An End-to-End Machine-Learning-Based High-Precision Earthquake Location Workflow, Seismol. Res. Lett., 2022, doi: 10.1785/0220220019.

PhaseNet:
Zhu, W., and G. C. Beroza (2019). PhaseNet : A deep-neural-networkbased seismic arrival-time picking method, Geophys. J. Int. 216, no. 1, 261–273, doi: 10.1093/gji/ggy423.

REAL:
Zhang, M., W. L. Ellsworth, and G. C. Beroza (2019). Rapid earthquake association and location, Seismol. Res. Lett. 90, no. 6, 2276–2284, doi: 10.1785/0220190052.

VELEST:
Kissling, E., W. L. Ellsworth, D. Eberhart-Phillips, and U. Kradolfer (1994). Initial reference models in local earthquake tomography, J. Geophys. Res. 99, no. B10, 19,635–19,646, doi: 10.1029/93JB03138.

HYPOINVERSE:
Klein, F. W. (2002). User’s guide to HYPOINVERSE-2000, a Fortran program to solve for earthquake locations and magnitudes, U.S. Geol. Surv. Open-File Rept. 2002-171, doi: 10.3133/ofr02171.

HypoDD:
Waldhauser, F., and W. L. Ellsworth (2000). A double-difference earthquake location algorithm: Method and application to the northern Hayward fault, California, Bull. Seismol. Soc. Am. 90, no. 6, 1353–1368, doi: 10.1785/0120000006.

GrowClust:
Trugman, D. T., and P. M. Shearer (2017). GrowClust: A hierarchical clustering algorithm for relative earthquake relocation, with application to the Spanish Springs and Sheldon, Nevada, earthquake sequences, Seismol. Res. Lett. 88, no. 2A, 379–391, doi: 10.1785/0220160188.

Match&Locate:
Zhang, M., and L. Wen (2015). An effective method for small event detection: Match and locate (M&L), Geophys. J. Int. 200, no. 3, 1523–1537, doi: 10.1093/gji/ggu466.

Major updates:

Dec. 24, 2023

Integrated EQTransformer and OBSTransformer into LOC-FLOW, contributed by Alireza Niksejel (the developer of OBSTransformer).

See major udpates and readme files under Data and Pick directories.

EQTransformer: https://github.com/smousavi05/EQTransformer

Mousavi, S.M., W.L. Ellsworth, W. Zhu, L.Y. Chuang, and G.C. Beroza (2020). Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking. Nat Commun 11, 3952, doi: 10.1038/s41467-020-17591-w

OBSTransformer: https://github.com/alirezaniki/OBSTransformer

Niksejel, A. and M. Zhang M (2023). OBSTransformer: A Deep-Learning Seismic Phase Picker for OBS Data Using Automated Labelling and Transfer Learning. Pre-print versoin at https://doi.org/10.48550/arXiv.2306.04753

loc-flow's People

Contributors

dal-mzhang avatar zhuwq0 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.