## 5 Results and Discussions
### Discrepancies in Collected Seismicity Data
Moreover, the consistency in reported earthquake depths across the KSUSN, SANDSN, and SNSN seismic networks indicates that they likely employ a similar velocity structure in their analyses, as no significant disparities are observed among the networks regarding the depth of detected seismic events. This consistency suggests a well-coordinated and uniform regional seismic observation system, enhancing the reliability of seismic data interpretation in the Red Sea region. We calculate the average of reported depth values after investigating individual seismic events to distill the vast amount of data into a more manageable form that helps in identifying central tendencies and underlying patterns in the data, which might be obscured when dealing with individual data points. This approach is particularly useful in highlighting long-term trends, such as the gradual shift in seismic activity to different depths, which could indicate changes in geophysical processes or stress distributions within the Earth's crust. Moreover, averaging also aids in reducing the noise inherent in the data, smoothing out short-term fluctuations or anomalies that might not be relevant to the broader geological understanding. Figure 4b depicts the average seismic depth reported by the KSUSN, SANDSN, and SNSN networks across the various temporal scales. The annual distribution of seismic activity for each network shows unique trends, with KSUSN indicating a significant increase in average depth over the years, potentially signaling changes in seismic activity or adjustments in network sensitivity. SANDSN follows a similar upward trend, albeit less pronounced, while SNSN exhibits more variability, reflecting differences in the depths of seismic events captured or in reporting methods. Notably, early data from KSUSN show considerable fluctuation, suggesting initial challenges in data collection or evolution in monitoring technologies and approaches. When examining the monthly distribution of seismic activity, all networks display variability without a clear seasonal pattern. However, KSUSN shows notable deviations in certain months, which might be attributed to geological phenomena or data collection anomalies. The daily distribution of seismic activity, particularly with KSUSN, demonstrates marked variability compared to other networks, which could be due to daily reporting practices or genuine variations in seismic activity. The hourly distribution of seismic activity illustrates relative consistency for SNSN, while KSUSN and SANDSN exhibit more variability. The pronounced deviations in KSUSN's data could represent outliers or actual deep seismic events. Ranking the networks based on the extent of outliers or deviations, KSUSN appears first with the most significant range of variation, especially in the annual and monthly distributions. SANDSN, showing less variability than KSUSN, follows next. SNSN appears to have the least amount of outliers or deviations, suggesting either a more consistent data collection process or a more stable seismic regime. The presence of outliers in the data across all networks necessitates thorough scrutiny. These anomalies could reflect real variations in seismic depth, which are crucial for understanding the tectonic dynamics of the region, or they might indicate inconsistencies or errors in data collection, processing, or reporting. Further analysis, including an evaluation of the methodologies used by each network, is essential to validate these observations and ensure that the reported averages accurately reflect the seismic behavior in the Red Sea region. To gain a comprehensive understanding of seismic activity, we apply the same procedure to individual variations in magnitude as well as to the average variation over different temporal periods. This dual approach allows us to capture the full spectrum of seismic be  
Figure 4: Analysis of Temporal Variation in Seismic Depth Over Different Time Intervals in the Red Sea. havior.