| Name | dsar JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | Calculating Displacement Seismic Amplitude Ratio (DSAR) Value |
| upload_time | 2024-09-13 06:52:23 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | None |
| keywords |
seismic
volcano
volcanology
dsar
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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|
# Displacement Seismic Amplitude Ratio (DSAR)
## How to Use
1. All the seismic data must have SDS Directory as an input. See an example in [input directory](input). Or you can check it here https://www.seiscomp.de/seiscomp3/doc/applications/slarchive/SDS.html
2. Inside `main.py` or `main.ipynb` change those parameters:
```python
network = "VG"
station = "PSAG"
location = "00"
channel = "EHZ"
sds_directory = r"D:\Projects\dsar\input"
output_directory = 'output'
start_date = "2017-12-01"
end_date = "2017-12-03"
bands: dict[str, list[float]] = {
'HF' : [0.1, 8.0, 16.0],
'LF' : [0.1, 4.5, 8.0],
}
resample_rule: str = '10min'
```
3. Run the `main.py` or `main.ipynb`.
4. The output of this code would be saved into `output` directory and will be used as an input of `dsar.py`.
5. Run `dsar.py` to get the calculated _dsar_ CSV and plot the result.
## References
> Caudron, C., et al., 2019, Change in seismic attenuation as a long-term precursor of gas-driven
eruptions: Geology, https://doi.org/10.1130/G46107.1
>
> Chardot, L., Jolly, A. D., Kennedy, B. M., Fournier, N., & Sherburn, S. (2015). Using volcanic tremor for eruption forecasting at White Island volcano (Whakaari), New Zealand. Journal of Volcanology and Geothermal Research, 302, 11–23. https://doi.org/10.1016/j.jvolgeores.2015.06.001
Raw data
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