EGU24-7445, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-7445
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Automatic Determination Of P-Wave Arrival Time Using The Initial Power Of The P-Wave: A Case Study In Western Java

Kadnan Kadnan1, Dede Djuhana1, Djati Handoko1, and Nelly Florida Riama2
Kadnan Kadnan et al.
  • 1Physics Department, Faculty of Mathematics and Natural Sciences, University of Indonesia, West Java Indonesia
  • 2Education and Training Centre, The Agency for Meteorology Climatology and Geophysics, Jakarta, Indonesia

Determining the arrival time of P waves is crucial in the context of earthquake early warning. Accuracy and calculating time play an important role in the earthquake parameter prediction. By using the initial power of the P-wave (IPP), STA/LTA, and artificial neural network, the arrival time of the P wave has been determined. 4,482 earthquake signals which occurred between 2021 to 2023 in the western of Java obtained by accelerometer were carefully investigated. The arrival time calculated by using Initial of P-wave (IPP) then compared with traditional STA/LTA picking and artificial neural network (ANN). Interestingly, IPP method can reduce background noise better than the other implying very clear P-wave to be proceed. It is found that IPP method exhibit less deviation, higher accuracy, and more precise suggesting candidate to apply as earthquake early warning system. This research contributes the reliability of seismic monitoring, thereby enhancing our ability to provide timely and accurate earthquake predictions for enhanced public safety.

How to cite: Kadnan, K., Djuhana, D., Handoko, D., and Florida Riama, N.: Automatic Determination Of P-Wave Arrival Time Using The Initial Power Of The P-Wave: A Case Study In Western Java, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7445, https://doi.org/10.5194/egusphere-egu24-7445, 2024.