P-Phase Arrival Time Picking for Near-Field Data
Session: Advances in Understanding Near-Field Ground Motions: Observation, Prediction and Application II
Type: Oral
Date: 4/22/2021
Presentation Time: 02:45 PM Pacific
Description:
Detecting and identifying the useful signals in the noisy and complex urban environment have posed challenges for seismic event detection and monitoring. Automatically detecting and accurately picking the first wave arrivals are important steps for seismic event identification and event location.
We collected near-field (<100m) data from some shallow sources. To develop an automatic, quick, and accurate P-phase arrival time picking for these near-field data, we tested different arrival time pickers including the Short-Term-Average/Long-Term-Average (STA/LTA) method, the Modified Energy Ratio (MER) method, the Akaike Information Criteria (AIC) method, and the PPHASEPICKER algorithm.
Our results indicate the AIC picker works well for the near-field data, and it outperforms other methods, particularly for data with poor signal-to-noise ratio (SNR). AIC-picked P-phase arrival times are very close to the manual pickings.
Presenting Author: Rongmao Zhou
Student Presenter: No
Authors
Rongmao Zhou Presenting Author Corresponding Author rongmao.zhou@erdc.dren.mil U.S. Army Corps of Engineers |
Rebekah Lee rebekah.f.lee@usace.army.mil U.S. Army Corps of Engineers |
Josh McCleave william.j.mccleave@erdc.dren.mil U.S. Army Corps of Engineers |
|
|
|
|
|
|
P-Phase Arrival Time Picking for Near-Field Data
Session
Advances in Understanding Near-Field Ground Motions: Observation, Prediction and Application