This document contains instructions for running application P and S Waves Detection Tool within the EPISODES Platform. The application is a tool for automatic detection of the first arrival time of the P waves. The detection is carried out in a time window of 4 seconds. It uses Deep Learning technique based on a convolutional neural network to process the seismograms and detect the first arrival times. The algorithm finds the arrival times with the mean difference from the human-created picks of -0.003 s with the standard deviation of 0.023 s. The model is based on Ross, Meier and Hauksson (2018).
To obtain more general information about working with applications within the Platform, see Applications Quick Start Guide.
CATEGORYSource and Shaking Parameters Estimation
KEYWORDSWaveform viewing, Picking on waveform
CITATION If you use the results or visualizations retrieved from this application in a publication, then you must cite the data source as follows:
Ross, Z. E., Meier, M.-A., & Hauksson, E. (2018). P wave arrival picking and first-motion polarity determination with deep learning. Journal of Geophysical Research: Solid Earth, 123, 5120– 5129.doi: 10.1029/2017JB015251.
Orlecka-Sikora, B., Lasocki, S., Kocot, J. et al. (2020) An open data infrastructure for the study of anthropogenic hazards linked to georesource exploitation., Sci Data 7, 89, doi:10.1038/s41597-020-0429-3.
