Earthquake moment magnitude estimation from P, S or common P and S waves
Project description
Anthropogenic Mw
Earthquake moment magnitude estimation from P, S, or P and S waves together
Copyright (c) 2025, Jan Wiszniowski jwisz@igf.edu.pl
Description
The Anthropogenic Mw package is designed for the determination of the moment magnitude (Mw) of small and local earthquakes, where stations are close to hypocenters. Such situations often occur in anthropogenic events, and this algorithm was developed to calculate Mw of mining-induced and reservoir-triggered earthquakes. Hence, the package name is Anthropogenic Mw. However, it can also be used for natural events and is recommended for local ones.
The method of Mw computation based on spectral displacement amplitude is elaborated. Mw is computed using a fitting of displacement spectra of seismic waves recorded at stations to the simulated spectrum in the far field with the estimation of the noise. As proposed, it allows for estimating Mw based on a single P or S wave spectra. However, a combined spectrum of two waves together and spectrum simulation in intermediate and near fields was applied to Mw estimation as an innovation. The algorithm automatically estimates the station magnitude of small and close events.
Command line tools
For the impatient
To run the example, call (Windows)
spectral_Mw -c example\STr2_catalog.xml example\STr2_config.json
or
spectral_Mw -c example\LUMINEOS_catalog_with_s_phases.xml example\LUMINEOS_config.json
The example catalog you can download from https://github.com/JanWiszniowski/amw/tree/main/example
Spectral Mw calculation
The spectral Mw is calculated by spectral_Mw.py. After installing Anthropogenic Mw, you can get help on the command line arguments used by each code by typing from your terminal:
spectral_Mw -h
The recommended use case is cooperation with the external server. You must first prepare the configuration.json file and then run:
spectral_Mw -q event.xml configuration.json,
where event.xml is an example of the catalog file name and configuration.json is the configuration file name, which contains all information required for program to work. See two configuration examples inhttps://github.com/JanWiszniowski/amw/tree/main/example.
Source spectra visualization
Source spectra are plotted by view_green_function. Call:
view_green_fun configuration.json
where configuration.json is the configuration file.
Documentation
The documentation is in the anthropogenicmw.pdf file.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file amw-0.0.4-py3-none-any.whl.
File metadata
- Download URL: amw-0.0.4-py3-none-any.whl
- Upload date:
- Size: 58.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
091272d56382b0288c64ef2b3eb44a90f731b34b14ddedcda1874cc8b0e32763
|
|
| MD5 |
70c2467b8d936d368704bdb8f54792f1
|
|
| BLAKE2b-256 |
1b3959db35ea62021c19c9a5d6ac310fc86c97ae1c362b84eb7fb56c85d5c092
|