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Sensors and Their Applications in Seismology

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".

Deadline for manuscript submissions: 20 September 2026 | Viewed by 691

Special Issue Editors


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Guest Editor
School of Geophysics and Spatial Information, China University of Geosciences (Wuhan), Wuhan 430074, China
Interests: seismology; earthquake science; seismic tomography
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Earth Sciences and Information Physics, Central South University, Changsha 410017, China
Interests: geodesy and earthquake science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The primary objective of seismology is to comprehend the nature of earthquakes and faults, and to elucidate the internal structure and dynamic mechanisms of Earth and other planets. Consequently, techniques for detecting signals from these subsurface movements and deformation processes are critical to seismological research. In recent years, the emergence of high-frequency GNSS, InSAR, and advanced seismic instrumentation such as nodal seismometers and Distributed Acoustic Sensing (DAS) fiber optics, in conjunction with conventional broadband and short-period seismometers and strong-motion sensors, has enabled full-spectrum observations spanning various sensitivities and multiple periods. This provides crucial technical support for seismological investigations.

This Special Issue aims to collect papers focusing on advancements in observational techniques for seismic and related processes, as well as studies that utilize these techniques to investigate various seismological phenomena. Contributions on unconventional seismological observation techniques and their applications are also highly encouraged for this Special Issue, including:

  • Space Geodetic Observation Techniques and Applications;
  • Fiber-Optic DAS Observations and Applications;
  • Dense Array Observations and Applications;
  • Rotational Seismology Observations and Applications;
  • Unconventional Observation Techniques and Applications;
  • Integrated Studies Using Multiple Observational Techniques.

Prof. Dr. Yong Zheng
Prof. Dr. Guangcai Feng
Guest Editors

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Keywords

  • geodetic observation
  • DAS
  • dense array
  • AI
  • seismic tomography
  • unconventional observation techniques
  • integrated studies
  • multiple observational techniques

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Published Papers (1 paper)

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Research

15 pages, 5131 KB  
Article
Dynamic Population Distribution and Perceived Impact Area of the Tibet Dingri MS6.8 Earthquake Based on Mobile Phone Location Data
by Huayue Li, Chaoxu Xia, Yunzhi Zhang, Yahui Chen, Wenhua Qi, Fan Yang and Xiaoshan Wang
Sensors 2026, 26(2), 457; https://doi.org/10.3390/s26020457 - 9 Jan 2026
Viewed by 422
Abstract
Based on the collected mobile phone location data, this paper analyzes changes in four mobile location-based indicators and their spatiotemporal distribution characteristics before and after the earthquake, summarizing crowd movement patterns and communication behaviors after the MS6.8 Dingri earthquake. By comparing [...] Read more.
Based on the collected mobile phone location data, this paper analyzes changes in four mobile location-based indicators and their spatiotemporal distribution characteristics before and after the earthquake, summarizing crowd movement patterns and communication behaviors after the MS6.8 Dingri earthquake. By comparing natural neighbor interpolation and Thiessen polygon interpolation methods, we explore novel rapid assessment approaches for earthquake perception ranges, combined with actual seismic intensity maps. The results indicate an uneven distribution of population and differing dynamics in mobile phone signal activity. This reflects different behavioral patterns and the potential perceived extent of the earthquake. Within 50 km of the epicenter, all four indicators showed varying degrees of decline post-earthquake, while areas beyond 100 km exhibited short-term surges, reflecting differentiated behavioral responses based on seismic impact severity. In areas experiencing strong shaking, risk avoidance behavior predominated, while in areas where shaking was noticeable but less severe, communication behavior was more prominent. Mobile data decline zones showed high spatial correlation with intensity VIII+ regions, proving their effectiveness as rapid indicators for identifying strongly affected areas. Notably, mobile location data enabled accurate identification of strongly affected zones within 30 min post-earthquake. Full article
(This article belongs to the Special Issue Sensors and Their Applications in Seismology)
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