In order to study the damage characteristics of gas explosion from double explosion sources in roadway wall，the gas explosion model of roadway with double explosion sources was established by using LS-Dyna，and the pressure propagation and impact stress of shock wave in roadway under the gas explosion action of double explosion sources were analyzed. The change of axial pressure in the roadway and the damage to surrounding rock in the symmetrical section were measured when gas explosion with double explosion sources occurred. The research results show that the interaction between the shock waves generated by double explosion sources in the roadway results in a significant disparity in pressure compared to that of a single explosion source. At each axial position where the gas explosions from the double sources occur，there are two distinct pressure peaks，with the magnitude of the first peak negatively correlated with its proximity to the nearest explosion source. The value of the second peak pressure is negatively correlated with its distance from the collision surface where shock waves from two sources meet. The peak pressures before and after this collision were not a simply linear superimposition，but a sharp rise. The damage evolution process on surrounding rock wall surfaces resembles that of diffusion for shock wave pressure propagation and shock stress，although it is lagging these two phenomena. Furthermore，the duration of shock wave action plays a crucial role in determining the thickness of damage inflicted on surrounding rock formations，with roof damage being most severe in roadways subjected to double explosion source gas explosions.

In order to solve problems of land shortage and transmission line construction in the old urban area，taking the underground goaf of Xiuwu North power transmission substation as the research object，on the basis of clarifying the basic geological conditions and mining conditions of the underground goaf of the transmission substation，SBAS-InSAR monitoring was used to study the development characteristics of surface subsidence. The evolution characteristics of surface subsidence of the transmission line through the mining right area were quantitatively analyzed. The influence of goaf settlement，inclination and curvature on the transmission line of the substation was evaluated. The results show that the maximum average settlement rate of the surface of the study area is -53.6 mm/a，and the location of this area coincides with the location of Guhanshan mine，and the subsidence is consistent with coal mining，and the settlement rate of the tower position is between -16.5--0.3 mm/a. The average settlement rate of No. 11 and No. 35 towers are significantly greater than those of other positions，with the average settlement rates of -15.88 and -16.21 mm/a respectively. The historical tracing of the deformation law shows that the maximum cumulative subsidence occurs at the end of the monitoring period，which is -104.91 and -106.97 mm respectively. According to the most unfavorable principle，it is concluded that the actual monitoring and predicted settlement of the unfavorable points of the interannual deformation rate of the tower in each region during the service life is less than 400 mm，and the maximum inclination and curvature of the tower are 1.2 mm/m and the curvature is 0 mm/m²，which are all within the specified minimum allowable value. The surface of the transmission line crossing the mining rights area is in a safe and stable state.

To enhance the accuracy and reliability of geological earthquake disaster events predictions，a predictive model combining knowledge graph with GCN was proposed. Initially，the knowledge graph for geological earthquake disaster events was constructed，and the multi-source disaster-related information was consolidated into structured data. Then，the KGCN model was employed for deep learning of entities and relationships within the knowledge graph，uncovering potential association rules to forecast the evolution of disasters. Finally，the effectiveness of the model was validated through a set of geological earthquake disaster cases. The results show that the predictive model combing knowledge graphs with GCN exhibits excellent effectiveness in forecasting the evolution of geological earthquake disaster events，especially in dealing with complex multi-source data. The information can be efficiently integrated，and potential relationships can be accurately uncovered by the model. Excellent prediction accuracy is achieved in various aspects，including disaster levels，casualty levels，and disaster victim categories. Notably，the accuracy in predicting the disaster emergency response levels reaches 89.92%.

In order to improve the accuracy of emergency consequence severity assessment，clarify the correlation between the risk causes and consequence severity in urban traffic emergencies，the improved discrimination model of emergency consequence severity (IDM-ECS) was constructed and experimentally verified. First，based on the IFSA，the risk causes of emergencies were screened to obtain the important risk causes such as train fulfillment rate，punctuality rate，and daily network passenger volume and so on. Secondly，the improved hybrid restricted Boltzmann machine(HRBM) model was used to calculate the relationship between different risk causes and the consequence severity，and the discriminative relationship between risk causes and the consequence severity was obtained by comparing the probability values. Finally，the dataset of rail transit emergencies was used as an experimental sample for validation. The performance was compared with four models，including Generating Restricted Boltzmann Machines (GRBM)，Random Forest (RF)，Deep Forest (DF)，and Light Gradient Boosting Machine (LightGBM)，in terms of recall，precision，and F₁ value. The results show that train fulfillment rate，punctuality rate，daily network passenger volume，line 5 section full load rate，line 10 section full load rate，signal failure，and vehicle failure are the seven optimal risk causes. The IDM-ECS model has an average recall of 90.55%，precision of 91.89%，and F₁ value of 91.06%，all of which are better than those of the comparison models.

In order to deeply analyze the structural characteristics and collaborative mechanisms of the emergency response cooperation network for secondary and tertiary earthquakes，the "12·18" Jishishan earthquake in 2023 was taken as a typical case，and the social network method was used to analyze the emergency response collaboration network systematically based on the network structure，organizational relationships and organizational functions. The results show that the density of the Jishishan earthquake emergency cooperation network is low，and the cooperation between organizations is not close enough. There are 8 cohesive subgroups，the units of the same level are more inclined to cluster，and the units with similar functional attributes are more likely to form cohesive subgroups. The main body of the two or three level response is the provincial-level department，which is mainly the cohesion subgroup of the provincial command and coordination and emergency rescue functions. The cohesive subgroup formed by units at the national level mainly plays a coordinating and supporting role. Central enterprises and state-owned enterprises played an important role in this emergency response. However，it is necessary to break the administrative barriers and establish a cooperative emergency collaborative mechanism between the local government and the state-owned enterprises.

To effectively evaluate the performance of emergency logistics suppliers，a method for evaluating emergency logistics suppliers was proposed based on supplier evaluation，incorporating prospect theory and interval numbers. Firstly，based on the characteristics of emergency logistics，an evaluation index system for emergency logistics suppliers was proposed from six dimensions: rapid response capability，cost control capability，product quality，delivery service，internal and external conditions of the enterprise，and flexible demand. Then，interval numbers were introduced into the evaluation of emergency logistics suppliers，and an evaluation method based on prospect theory and interval numbers was proposed. The Jaccard similarity coefficient was used to define the similarity of interval number. The maximum sum of similarity with the remaining solutions was used to determine the reference point of the value function for the attribute evaluation value of the corresponding solution. The deviation maximization theory was used to construct a multi-attribute decision weight optimization model based on interval number similarity，from which attribute weights were obtained. Finally，the value function was normalized to expand the scheme discrimination. The prospect value of each scheme was calcuted based on the obtained weight function and value function，and the advantages and disadvantages of the scheme were ranked. The research results indicate that the difference in prospect values between the optimal and worst suppliers calculated using the evaluation method is 0.383 8，while the prospect value difference calculated using statistical inference principles is 0.085 6. The difference of 0.298 2 shows that the proposed evaluation method expands the differentiation between options，helping decision-makers achieve effective decisions.

To prevent and treat the early hearing loss of firefighters caused by occupational noise sources，the occupational noise exposure detection for firefighters was conducted，and the degree of hearing loss in firefighters was evaluated. The ratio of hearing loss in firefighters was quantified，and the relationship between the hearing test results of firefighters and occupational noise exposure was analyzed. The results indicate that the intensity of the noise source for firefighters exceeds the exposure limit of noise levels in the workplace of 85 dB(A). Among the hearing screening results of 50 firefighters，the number of people who falisd the distortion product otoacoustic emission hearing screening in both ears is 21，accounting for 42.0%，and the pass rate is significantly lower than that of normal individuals. The number of people with left/right ear pure tone audiometry hearing thresholds ≥ 26 dB is the greatest at 6 kHz，accounting for 30.0% and 26.0% at n =15 and n =13，respectively，suggesting high-frequency hearing loss in firefighters after occupational noise exposure.

Cultivating professional master's students is essential to addressing the shortage of high-level applied talents. To meet the industry demand for safety engineering professionals, this study analyzes challenges in China's training processes based on domestic and international practices. It introduces the "professional group + action learning method" model, alongside reforms in curriculum, teaching methods, training bases, faculty, and evaluation standards, using China University of Mining and Technology-Beijing as a case study. Data from the 2023 cohort validate the model's effectiveness in improving graduate quality, enhancing competencies, and addressing traditional education shortcomings, proving its feasibility and reference value.

To clarify the essential characteristics and differences between inherent safety, behavior-based safety, process safety, and functional safety and to promote a virtuous cycle of high-quality development and high-level safety, this study employed literature review and comparative analysis methods to explore their basic connotations and evolution processes, interrelationships, realistic challenges, and development paths based on the safety management paradigm shift. The results indicate that inherent safety is an idealized form of safety. Behavior-based safety is an interdisciplinary field that involves the theories and methods of safety science and behavioral science. Process safety protects humans, machines, and the environment through systematic approaches from a full life cycle perspective. Functional safety aims at preventing unacceptable risks caused by functional failures of systems. The four types of safety, led by inherent safety, involve a gradual progression from concepts to practice. These types of safety share a unified internal structure encompassing the elements of humans, machines, environment and management. The current representative standards cover various industry sectors and focus on accident prevention. In the future, the synergistic effect of the four in safety governance should be fully utilized. By using artificial intelligence technology to empower the new engine of safety production, the four should be continuously improved in specific practices tailored to local conditions.

To quantify the transportation risks associated with biological samples using UAVs, this study first identified 32 risk factors across five dimensions-human, machine, environment, management, and hazard-based on national standards and relevant literature. A BN for risk assessment was constructed using Netica software, with prior probabilities determined through expert knowledge and fuzzy set quantitative analysis. The proposed risk assessment model was then used for bidirectional reasoning and scenario analysis. A case study of a UAV company in Shenzhen was presented to evaluate the transportation risks of biological samples and identify key influencing factors. The results indicate that the risk probability of biological sample transportation, as calculated through forward reasoning, is approximately 2.203×10^-5. The primary risk factors are related to hazardous materials, followed by equipment and facility-related issues. The core risk factors influencing biological sample transportation include the size, quantity and weight of hazardous material packages, the temperature control effectiveness of specialized cold chain logistics boxes, the integrity of emergency response plans, emergency handling capabilities, safety management and education, and the presence of obstacles.