## 5 Conclusions  
The EPIC system is a useful tool that works in real-time in different regions [11; 28; 36; 50] and aims to take precautions against seismic hazards. In short, the system aims to minimize disaster damage by generating warnings for an approaching ground shaking at certain times. EPIC estimates the magnitude using P waves peak displacement (\(Pd\)) and the dominant period (\(T_{p}^{max}\)). The epicenter of the event is located based on the grid search technique after the P wave triggering in at least four stations. The ground shaking can then be estimated using the attenuation relations of the location and magnitude of the event. In this study, we aimed to adapt the EPIC EEW system for Bursa province and its surroundings. First, we optimized and, if necessary, modified seismic stations belonging to different seismological agencies in Bursa and its surroundings for robust data acquisition. We adjusted the magnitude relation equations by analyzing offline data from \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \begin{tabular}{c} **Event** \\ **Date** \\ \end{tabular} & \begin{tabular}{c} **Origin Time** \\ **(UTC)** \\ \end{tabular} & \begin{tabular}{c} **Latitude** \\ **Longitude** \\ \end{tabular} & \begin{tabular}{c} **Alert Time** \\ **(UTC)** \\ \end{tabular} & \begin{tabular}{c} **Magnitude** \\ **Source** \\ \end{tabular} & \begin{tabular}{c} **Magnitude** \\ **\end{tabular} & \
\begin{tabular}{c} **Magnitude** \\ **\end{tabular} \\ \cline{1-1} \cline{6-7}  & 22:58:58.60 & 39.826 & 22:59:16.077 &
\begin{tabular}{c} Default \\ (Equations (1) and (2)) \\ \end{tabular} & - & 3.1 & 4.2 \\
3 June 2022 & 22:58:58.600 & 27.948 & 22:59:14.868 & \
\begin{tabular}{c} Developed \\ (Equations (4) and (5)) \\ \end{tabular} & - & 4.1 & 4.7 \\ \cline{1-1} \cline{6-7}  & 22:58:57.750 &
\begin{tabular}{c} 39.820 \\ 27.948 \\ \end{tabular} & - & KOERI catalog & 4.8 & - & - \\ \hline \hline \end{tabular}
\end{table} 
Table 2: EPIC performance using default and newly developed equations for the 3 June 2022 Caypmar (Balikesir) Earthquake (\(M=4.8\)). 104 earthquakes that occurred between 1 January 2012 and 30 November 2021. We tested the performance of the newly developed magnitude relationships both in replay mode and in real-time using EPIC. We observed an improvement in magnitude estimates made with the new equations compared with the default equations that are optimized for California. The improvement was demonstrated in real-time earthquake solutions for the 3 June 2023, Caypinar (Balikesir) earthquake (\(M=4.8\)). We also concluded that a \(Pd\)-based scaling relationship is a good approach to deriving EEW magnitude estimates. It is important to note that the number of earthquakes detected and analyzed by EPIC can vary depending on various factors, including the sensitivity of the system and the threshold values set for alarm levels. Additionally, the performance of the system can be affected by factors, such as network design, station placement, and real-time processing. However, the results presented in Figure 9 suggest that using the newly developed equation leads to the detection and analysis of a higher number of earthquakes with magnitudes greater than 2.5 compared to using the default equation. This highlights the importance of regularly updating and fine-tuning the algorithms used in EEW systems to improve their performance and effectiveness in providing early warnings. The EEWS is currently running in test mode for Bursa and its surroundings. The system gives confidence with its robust and fast results. More precise magnitude estimation relationships can be determined by expanding the dataset with earthquakes that are likely to occur in the region. As a result, this study should be developed, and optimized magnitude relations should be obtained for Turkriye in general or for each region. In addition, optimizing the seismic network infrastructure to reduce delay times and blind zones is one of the most critical steps for an operational EEWS.