Recently, a magnitude 7.0-plus earthquake struck Venezuela, drawing widespread international attention. According to CCTV News, the strong earthquake occurred near the northern coast of Venezuela on June 24 local time, with noticeable tremors felt in the capital city of Caracas.

Following the earthquake, the PrideLab team responded promptly and carried out high-rate GNSS observation data processing and analysis using its independently developed GSeisRT high-precision real-time positioning software and PRIDE-PPP-AR high-precision post-processing software. The team successfully captured the dynamic displacement signals triggered by the strong earthquake.

Figure 1. Occurrence and impact of the Venezuela earthquake. Source: U.S. Geological Survey (USGS) official website

Figure 2. Distribution of GNSS monitoring stations. Source: Google Earth

In this analysis, GNSS stations at different epicentral distances were selected for validation. Among them, station P780 is located approximately 850 kilometers from the epicenter, station CN40 approximately 190 kilometers away, station CN46 approximately 780 kilometers away, and station CN57 approximately 810 kilometers away.

The results show that both near-epicenter stations and stations located several hundred kilometers away recorded dynamic displacement responses caused by the propagation of seismic waves. This demonstrates the significant application value of high-precision GNSS positioning technology in monitoring major earthquake events.

For real-time positioning, GSeisRT processed 1 Hz GNSS observation data from station P780 using real-time high-precision products and successfully captured the signal of the Venezuela earthquake. This indicates that GSeisRT is capable of rapidly obtaining dynamic displacement information during earthquake events, providing technical support for real-time awareness and rapid response to major seismic events.

Figure 3. Real-time positioning results of station P780 based on GSeisRT

For post-event processing, the team used PRIDE-PPP-AR to process data from stations CN40, CN46, and CN57. It should be noted that although PRIDE-PPP-AR was used for post-event processing in this case, the precise products adopted were also real-time products. The results further show that, with the support of real-time precise products, PRIDE-PPP-AR can rapidly and stably extract dynamic responses to strong earthquakes, providing reliable support for post-earthquake rapid analysis and scientific assessment.

Figure 4. Post-processing results of station CN40 based on 

PRIDE-PPP-AR

Figure 5. Post-processing results of station CN46 based on PRIDE-PPP-AR

Figure 6. Post-processing results of station CN57 based on PRIDE-PPP-AR

The successful capture of signals from the strong earthquake in Venezuela effectively verifies the application capability of the team’s independently developed software in monitoring major global earthquake events. It also highlights the team’s technical contribution to rapid awareness and scientific assessment of major natural disasters worldwide.