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ORIGINAL RESEARCH article

Front. Earth Sci.
Sec. Solid Earth Geophysics
Volume 12 - 2024 | doi: 10.3389/feart.2024.1452324

Visualization Analysis of Ambient Seismic Noise Research

Provisionally accepted
Lihui Wu Lihui Wu 1Jinling Li Jinling Li 1*Sarina Bao Sarina Bao 2Qianbing Gong Qianbing Gong 1*
  • 1 Hubei University of Education, Wuhan, China
  • 2 National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki, Japan

The final, formatted version of the article will be published soon.

    In recent years, ambient seismic noise has gained considerable attention in seismology due to its potential to advance understanding of Earth's subsurface dynamics and monitor anthropogenic activities. This study presents a comprehensive review of ambient seismic noise research (ASNR), by exploring its current status, key research hotspots, and emerging trends through a bibliometric and visual analysis of 3028 articles indexed in the Web of Science database . Using CiteSpace, the study systematically examines key authors, institutions, and countries, as well as thematic keywords and foundational references. Techniques such as cluster analysis, co-citation network analysis, and burst detection are employed to map the evolution of research fields and identify significant collaboration patterns. The analysis reveals a dramatic increase in research output, particularly since 2004, underscoring the expanding role of ASNR in geophysics, geochemistry, and engineering applications. Additionally, the rising interest in detecting human activities through seismic noise, especially in response to events like the COVID-19 pandemic, highlights the broadening scope of ASNR. Notably, the findings emphasize the pivotal importance of ambient noise tomography, a method that has transformed subsurface imaging techniques. This review not only synthesizes the current research landscape but also highlights critical gaps and emerging opportunities, providing a roadmap for future studies. In particular, it emphasizes advancements in seismic risk mitigation, geotechnical investigations, and the monitoring of human activities, offering a timely review and valuable insights that aligns with the interests of researchers in these fields.

    Keywords: ambient seismic noise, bibliometric analysis, Earth Science, hotspots, Research trend

    Received: 20 Jun 2024; Accepted: 28 Oct 2024.

    Copyright: © 2024 Wu, Li, Bao and Gong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Jinling Li, Hubei University of Education, Wuhan, China
    Qianbing Gong, Hubei University of Education, Wuhan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.