## 5 Conclusions  
1. A single monitoring method has significant limitations in analyzing precursors of high-energy mining-induced earthquakes and identifying hazardous areas. Although microseismic monitoring can provide information on the location and energy of fracture events within the coal-rock mass, it has difficulty directly reflecting the dynamic changes in stress concentration around the roadway surrounding rock, making it challenging to identify risk characteristics of stress accumulation zones. Meanwhile, while the coal body stress monitoring system is highly sensitive and can capture local stress changes, it cannot effectively capture the spatial distribution of fractures and mining-induced earthquake events or their temporal occurrence patterns. As a result, it is difficult to obtain complete precursor information. These limitations make it challenging for a single monitoring approach to comprehensively identify precursors of high-energy mining-induced earthquakes and to accurately delineate potential high-risk areas, thus constraining the effectiveness of mining-induced earthquake prevention and control. 2. Through integrated analysis of stress monitoring and microseismic data, the primary controlling factors of high-energy mining-induced earthquake events at the 3308 working face were identified, including stress fluctuations in high-stress concentration zones and activation of the DF60 fault and its protected coal pillar. The monitored \"silent period\" preceding high-energy mining-induced earthquake events indicated internal energy accumulation, a critical precursor signal for mining-induced earthquake events. Source mechanism analysis confirmed that the fracture mode of mining-induced earthquake events aligns with fault slippage characteristics. 3. By conducting comprehensive multi-parameter data analysis, the spatial-temporal evolution characteristics of high-energy mining-induced earthquake events were determined, and a method for identifying high-risk areas was proposed, leading to the delineation of high-risk management zones for mining-induced earthquake events. Measures such as dynamic pressure relief drilling and deep-hole blasting were implemented. Practical results demonstrate that the integrated hazard identification method and control measures combining microseismic and stress monitoring effectively mitigated high-energy mining-induced earthquake events, providing reliable assurance for safe production in deep coal mining. By integrating monitoring data to delineate high-risk areas, the study provides a scientific basis for implementing targeted mining-induced earthquake risk management strategies. The findings of this study have significant practical value for improving safety in deep coal mining. By integrating monitoring data to delineate high-risk areas, the study provides a scientific basis for implementing targeted mining-induced earthquake risk management strategies. The identification of key risk zones supports the implementation of effective control measures, such as dynamic pressure relief drilling and deep-hole blasting, which have been proven to mitigate mining-induced earthquake hazards and ensure safe mining operations. Furthermore, the methods proposed in this study can be integrated into existing monitoring systems, providing early warnings and enabling timely preventive measures to minimize potential losses. Despite the promising results, several limitations must be acknowledged. First, the study focused on the 3308 working face, and further validation of the proposed method in different mining settings and geological conditions is necessary to ensure its generalizability. Second, while the integration of stress and microseismic data provided valuable insights, other factors such as geological heterogeneity and the effects of mining-induced fractures on surrounding rock stability remain underexplored. Future research should focus on developing more advanced modeling techniques to account for these complex factors and improve the predictive capability of the monitoring system.