loading page

A Frequency Domain Methodology for Quantitative Evaluation of Diffuse Wavefield with Applications to Seismic Imaging
  • +3
  • Bo Yang,
  • Haoran Meng,
  • Ning Gu,
  • Xin Liu,
  • Xiaofei Chen,
  • Yehuda Ben-Zion
Bo Yang
Southern University of Science and Technology
Author Profile
Haoran Meng
Southern University of Science and Technology

Corresponding Author:menghr@sustech.edu.cn

Author Profile
Ning Gu
Southern University of Science and Technology, Department of Earth and Space Sciences
Author Profile
Xin Liu
Department of Earth Sciences, University of Hong Kong
Author Profile
Xiaofei Chen
Southern University of Science and Technology
Author Profile
Yehuda Ben-Zion
University of Southern California
Author Profile


Fully diffuse seismic wavefields are ideal for Ambient Noise Imaging (ANI) of subsurface structures. However, the lack of feasible methods to identify highly diffuse wave hampers applications of ANI for imaging including evaluation of seismic attenuation and temporal changes with high temporal resolution. Conventional ANI approaches require data normalization, which results in significant loss of amplitude and phase information. Here we propose a method to quantitatively evaluate the degree of diffuseness of seismic wavefields by analyzing their statistical characteristics of modal amplitudes in the frequency domain. Tests on synthetic waveform and real data show that the method can effectively distinguish between diffuse and non-diffuse waveforms. By identifying a 60-second-long diffuse coda of a local M 2.2 earthquake recorded by a dense nodal array on the San Jacinto Fault Zone, we successfully extract high-quality dispersion curve and Q-value without performing data normalization. Our proposed method can advance the imaging of subsurface velocity and attenuation structures and monitoring temporal changes for scientific studies and engineering applications.
09 Sep 2023Submitted to ESS Open Archive
11 Sep 2023Published in ESS Open Archive