To promote the construction of emergency technology and management majors and strengthen the university talent cultivation of emergency rescue, the majors' characteristics were determined based on the national needs in emergency. Then, a talent development mode for emergency technology and management majors was proposed from aspects of professional ethics, theoretical knowledge systems, and practical technical ability. Firstly, the majors' professional ethics were clarified based on the professional ethics requirements from Teaching Standards for Emergency Rescue Technology and National Vocational Skill Standards for Emergency Rescuers. Secondly, a core curriculum system covering the entire emergency lifecycle was proposed using the PPRR(Prevention, Preparation, Response, Recovery) model including prevention, preparation, response, and recovery. Next, a combination of learning and training, integration of government-industries-research organizations was proposed to advance the cultivation of emergency skills and the enhancement of practical innovation capabilities. Finally, a talent cultivation system was developed from the perspectives of textbooks, faculties, teaching process management, a talent assessment system, and a continuous improvement mechanism. The results indicated that the talent development system integrated with public service and social responsibility attributes, full-cycle work content, disasters, and multi-subjects practical applications. Moreover, the system developed a close connection between talent cultivation and practical work needs and guided for cultivating of high-level applied talents in the emergency field who had moral and professional qualifications and theory and practice capabilities.

In order to improve the situation of network security education and the quality of network security education in colleges and universities，a cognitive-attitude-behavior theoretical model of college students was constructed. Through the distribution and screening of questionnaires，659 valid questionnaires were obtained. SEM was used to test the influence of network security education on network security cognition，network security attitude and network security behavior in the collected data. The results show that network security education can have a significant influence on network security cognition，network security attitude and network security behavior. During the influenced process，network security cognition and network security attitude play an independent and chain intermediary role. Legal and moral education，knowledge education，practical activities，and leading by example can directly affect network security behavior. Legal and moral education has the strongest influence，followed by knowledge education. Practical activities and leading by example are the weakest. In terms of specific paths of process，legal and moral education mainly affects network security behavior through direct effect，while knowledge education，practical activities and leading by example mainly affect network security behavior indirectly through security cognition.

In order to coordinate the distribution and use of materials in the emergency supply chain，the reliability evaluation indexes of the emergency supply chain were refined based on literature analysis. The reliability evaluation index system of the emergency supply chain was established，which was composed of three first-level indicators of organizational guarantee reliability，system institutional reliability and operation process reliability and 17 corresponding second-level indicators. AHP，EWM，and trigonometric fuzzy number were used to calculate the index weights，and the partial order relationship containing weight information was introduced into the evaluation，and the combined weighting-partial order set model was constructed to evaluate the reliability of the emergency supply chain. The reliability level of the emergency supply chain in five county-level cities of city C was evaluated and analyzed by using the model. The results show that the reliability of the emergency supply chain in the five county-level cities can be divided into four categories，among which the reliability level of region 03 is high，the reliability level of region 04 and 02 is relatively high，the reliability level of region 05 is medium，and the reliability level of region 01 is low. Through comparative analysis，the strengths and weaknesses of each region，and the areas needing improvement are obtained. This evaluation model can effectively evaluate the reliability level of the emergency supply chain.

To ensure the safety of the mining ground and underground workers，residents around the industrial square，and the operation of the coal transportation system，real-time monitoring of surface deformation is carried out. An optimized method for acquiring PS points is proposed to enhance the applicability of PS-InSAR technology in settlement monitoring. Firstly，a to total of 26 Sentinel-1A satellite images during the subsidence period of the Industrial Square coal pillar II 513 working face in the Huainan suburban coal mine from October 31，2020，to August 22，2022，were selected. The PS-InSAR technology was used to determine the optimal method for selecting PS point targets. Then，based on this method，the ground subsidence rate and cumulative subsidence of the mining damage protection zone during the mining process of the working face were obtained. Finally，the accuracy of PS-InSAR monitoring was verified based on the measured data of ground leveling points，and the dynamic subsidence of the study area's ground and structures was analyzed. The results show that the dual-threshold method of coherence coefficient and amplitude dispersion index is more suitable for subsidence monitoring in the study area. The maximum detectable subsidence rate in the study area is -26.5 mm/year，and the maximum cumulative subsidence value is -53.7 mm. Additionally，geological hazards related to karst collapse were detected in the northwest of the study area. By using leveling data for accuracy verification，the root mean square error (RMSE) is only 3.8mm，and the coefficient of determination reaches 0.91.

In order to improve traffic safety in the coupling area of the township fair and through-village highway，a secondary road through villages and towns in Yunnan Province was taken as the research object. The core area and the radiation area of the fair were defined according to the affordable travel distance of the township residents and the maximum trading radius of the fair. On this basis，29 risk factors in 6 dimensions of people，vehicles，roads，environment，management and accident form were selected. The risk factor identification model based on association rules was used to construct the risk factor network of highway accidents through villages and towns. By analyzing the characteristics of network topology，accident risk factors were identified. The results show that the traffic conflict in the core area of the fair is more serious，and the probability of injury accidents is 57.99 %. The core area of the township fair is the primary risk factor for accidents and plays a leading role in the spread of accident risks. The types of direct risk factors for property loss accidents and injury accidents are heterogeneous. Overall，the average clustering coefficient of driver factors is the largest，which makes it easy to produce a chain reaction. In the core area of the fair，the probability of injury accidents increases by 23.71% and 21.07%，respectively，when the driver's meeting vehicles are improper，and the driver does not give way according to the regulations.

To solve the problem of severe erosion caused by sand particles passing through separators during shale gas extraction，a well in Changning Shale Gas Field was taken as an example. Based on FLUENT software，numerical simulation was used to simulate the erosion characteristics of sand particles on the drain valve under different speeds，sand content，particle size，shape coefficient and valve opening. The main factors affecting the erosion characteristics of the drain valve were evaluated to clarify the erosion situation of the drain valve. The results indicate that the erosion damage of the valve disc and throttle hole is the main reason for the failure of the sewage valve. As the valve opening decreases，the pressure difference inside the valve increases exponentially，and the flow velocity is the largest at the valve disc and throttle hole. With the decrease of shape coefficient of sand particles，the erosion of the valve is more severe. Based on sensitivity analysis，the degree of influence of various factors on valve erosion characteristics is: ξ_l (Speed)=0.73，ξ_m (Sand particle size)=0.71，ξ_n (Sand content)=0.70 and ξ_q (Shape coefficient)=0.67. Therefore，it is recommended to control the fluid flow rate to within 7 m/s by increasing the internal flow area of the valve，improving the sand removal ability of the desander，and preventing larger sand particles (sand particle size>60 μm) from entering the sewage valve. The sand particle size entering the sewage valve should be controlled within 60 μm，which provides an effective means for the evaluation and optimization of on-site equipment.

To prevent collision accidents caused by ships failing to take timely and effective avoidance actions due to unclear situation awareness，an emergency ship maneuvering method aimed at addressing urgent dangerous threats was proposed. Based on the data from collision accident investigation reports，the ship encounter process was reconstructed. Considering the uncertainty and randomness of the ship collision risk，a bell-shaped grey cloud model was developed to obtain PCR in real-time and reveal its temporal evolution characteristics. The Kriging spatial interpolation algorithm was used to obtain the perception and graph representation of PCR between two ships. Furthermore，an avoidance decision-making assessment index was proposed to provide emergency maneuvering methods for steering collision avoidance. The validations of the collision accident in the crossing situation indicated that steering avoidance could effectively avoid a close-quarters situation if the give-way ship had taken action by the rudder in a crossing situation and turned starboard by 112.5° before the time of closest point of approach (TCPA) was 10 min. Furthermore，if the give-way ship did not take any action，the stand-on ship should turn to starboard by 45° before the TCPA was 4 min to effectively avoid immediate danger. This study proposes a fine-grained accident data-driven emergency ship-handling method that can be implemented in conjunction with traditional radar mapping and nautical experience ship-handling methods.

To improve the efficiency of monitoring work in the retirement treatment of uranium tailings ponds，an intelligent monitoring and prediction model of deformation of uranium tailings ponds was proposed based on SBAS-InSAR technology and BPNN. Firstly，SBAS-InSAR technology was used to obtain the cumulative deformation and annual deformation rate of the uranium tailings pond over the past two years. The accuracy of InSAR monitoring values was verified using seven Global Navigation Satellite System (GNSS) monitoring stations on the first dam. Then，the cumulative settlement of four dam sections，including Leigongtang dam，nanpo cross dam，Battle dam and Songlin dam，was selected and analyzed in conjunction with rainfall. Finally，the cumulative settlement data of 100 settlement points of the uranium tailings dam were randomly extracted to predict the deformation of the uranium tailings dam. The results show that from December 2020 to December 2022，the deformation rate of uranium tailings dam is between -60.06-34.94 mm/a. The overall settlement of the uranium tailings dam is in a sinking state，with a maximum cumulative settlement of -46.67 mm. The average absolute error between the predicted values of BPNN and the actual monitoring values is 0.586 mm，and the mean square error is 0.624 mm.

To assess the labor intensity of construction personnel in ultra-high-altitude tunnels，this study employed theoretical analysis to define evaluation indicators and used wearable devices to monitor physiological changes during various construction phases in a specific ultra-high-altitude tunnel. Subsequently，labor intensity and efficiency of different tasks were calculated. Results reveal that the physiological indicators of different tasks are significantly different. Specifically，cardiovascular loads of the workers installing secondary lining steel bars exceed the hygienic limits，and peripheral oxygen saturation (SpO₂) levels of the mechanical operators is lower than the standard values. Labor intensity is classified as Grade V for installing secondary lining steel bars，Grade III for bottom plate construction and arch steel bar binding，and Grade II for installing secondary lining waterproof cloth and for mechanical operations. At an altitude of 4 700 meters，the labor efficiency ranges only from 76% to 88% compared to the plain areas. To match the workload in the plain areas，the labor input must be increased by approximately 13.63% to 31.58% depending on the process.

To address the safety management issues of oil depots in case of earthquakes，firstly，seismic resilience is defined as the ability of oil depots to maintain their storage functions in terms of resisting earthquake damage，mitigating secondary disasters，adapting to environments after earthquakes，and quickly recovering after earthquakes. Moreover，an assessment model for the seismic resilience of Oil depot is proposed by quantifying the four types of abilities. Secondly，a quantitative assessment of the seismic resilience of the oil depot is realized through a dynamic Monte Carlo method，considering the uncertainty of the resistance and mitigation stages，thereby obtaining the seismic resilience value. Finally，the performance of the proposed model is validated against the oil depot in an earthquake area. The results indicate that the uncertainty of the resilience ability of the oil depot results in a significant fluctuation in resilience values，and the domino effect has a significant influence on the oil depot's resilience and cannot be ignored. Moreover，the farther the earthquake source distance and the lower the fault slip rate lead to higher seismic resilience. The seismic resilience can be improved by staying away from active faults，predicting earthquake hazards，and reducing emergency response time.