Skip to main content

A graphical tool to perform event detection/picking in seismic traces.

Project description

A graphical tool to perform event detection/picking in seismic traces.

Main Features

  • Three different picking algorithms available: STA-LTA [1], AMPA [2] and Takanami’s autoregressive method [3].
  • Proper functionality from DSP tools: scrolling, zooming, panning, playbacking…
  • Signal envelope, spectrogram and estimated characteristic function visualization.
  • Manually editing of picked seismic events or picking new ones.
  • Detect mode: Find all characteristic function’s peaks which value is over a threshold value.
  • Support for text/binary files containing seismic traces.
  • Save picked events to CSV format, and characteristic function to text/binary file format.
  • Two additional command line tools: An event picking/detection tool and a synthetic earthquake generator [4].

Installation

Windows

A prebuilt version of APASVO for Windows is available, compatible with 32-bit and 64-bit machines. You can download it here.

Prebuilt package contains all the required software dependencies to work. Just unzip its contents into a directory of your choice and then you can start using the application.

Linux

Prebuilt packages

Prebuilt distributions are the recommended installation method because they don’t require installing any extra software. Just download the appropriate package for your architecture, unzip its contents into the directory of your choice and you can start using the application.

Prebuilt packages of APASVO for Linux are available for both 32-bit and 64-bit architectures. You can download them here.

Warning

Prebuilt packages for Linux require GLIBC version 2.13 or newer to work. You can check your GLIBC version with:

$ ldd --version

Installation from Pypi

Warning

Installing from PyPI is a long and delicate process that involves installing several large libraries and their dependencies, so it is discouraged unless you are confident about installing python applications with multiple dependencies from source. In any case, PREBUILT PACKAGES ARE THE RECOMMENDED WAY OF INSTALLING APASVO.

Prerequisites

Make sure you have Python 2.7.x installed. Then, install the latest pip distribution.

Installation of required dependencies

APASVO depends on a list of Python packages, which you can check in the project’s requirements.txt file. These packages are automatically installed when APASVO is installed from Python repositories by using pip or from source code via setuptools.

However, some of these packages, namely Matplotlib and PySide, require installation of a number of additional dependencies. If you’re on a Debian / Ubuntu system, you can install these dependencies using the command:

$ sudo apt-get build-dep python-pyside python-matplotlib

Or if you are in Fedora/RedHat, first install yum-builddep and then use the command:

$ su -c "yum-builddep python-pyside python-matplotlib"
Install

You can install the latest version of APASVO from Python repositories by using the command:

$ pip install --use-wheel apasvo

Installation from source

First, make sure you meet the requirements explained in Prerequisites and install the needed dependencies as explained in Installation of required dependencies section.

Then, download the latest version from GitHub. If you have git installed, you can use the following command:

$ git clone https://github.com/jemromerol/apasvo.git

Finally, enter the newly created directory containing the source code and run:

$ python setup.py install

OS X

Sorry, but no precompiled version for OS X is available yet. You can try to install it from Python repositories or from source by following a similar procedure to that described for Linux.

License

Licensed under the GPLv3 license.

Authors

José Emilio Romero López. jemromerol@gmail.com

References

[1]Trnkoczy, A. (2002). Understanding and parameter setting of STA/LTA trigger algorithm. IASPEI New Manual of Seismological Observatory Practice, 2, 1-19.
[2]Álvarez, I., García, L., Mota, S., Cortés, G., Benítez, C., & De la Torre, A. (2013). An Automatic P-Phase Picking Algorithm Based on Adaptive Multiband Processing. Geoscience and Remote Sensing Letters, IEEE, Volume: 10, Issue: 6, pp. 1488 - 1492
[3]Takanami, T., & Kitagawa, G. (1988). A new efficient procedure for the estimation of onset times of seismic waves. Journal of Physics of the Earth, 36(6), 267-290.
[4]Peterson, Jon. “Observations and modeling of seismic background noise.” (1993): 93-95.

Changelog

  • 0.0.6 (2016-02-07)
    • Add bandpass filtering options
  • 0.0.5 (2015-11-30)
    • Add a trace selector window to handle multitrace files. It also allows to open multiple files and switch between them.
    • Fix several bugs.
  • 0.0.4 (2015-11-09)
    • Refactor apasvo classes to use Obspy library. Thanks to Obspy, now the application supports multiple input formats (wav, sac, mseed, segy, …) besides binary & text, multiple export event formats (NonLinLoc, QuakeML…) and (virtually) support for multitrace files.
    • Redesign apasvo-detector to detect events for multitrace files in batch.
    • Fix several bugs
  • 0.0.3 (2014-08-16)
    • Fixed several bugs.
  • 0.0.2 (2014-06-02)
    • Fixed several bugs.
    • Improve installation files.
  • 0.0.1 (2014-05-16)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for APASVO, version 0.0.6
Filename, size File type Python version Upload date Hashes
Filename, size APASVO-0.0.6-py2-none-any.whl (231.8 kB) File type Wheel Python version 2.7 Upload date Hashes View hashes
Filename, size APASVO-0.0.6.tar.gz (188.5 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page