At present, the scale of China-ASEAN trade cooperation has expanded, and its impact on China’s carbon emissions should not be underestimated. The LMDI method was used to study China’s carbon emissions from 2013 to 2022 using China-ASEAN trade as an influencing factor. The results show that the energy carbon emission intensity effect, the import trade effect of China and ASEAN, the economic development level effect, the terms of trade effect and the population size effect are the factors that promote carbon emissions. The energy intensity effect and the counter-effect of China-ASEAN export trade are the factors that inhibit carbon emissions. In order to reduce the impact of various factors on carbon emissions, it is necessary to optimize the industrial structure, develop and use energy-saving technologies, improve the terms of trade between the two sides and optimize import trade.

ESG is highly compatible with the concept of sustainability in China, and there is no clear conclusion on the impact of ESG performance on the dual innovation of enterprises. Taking Shanghai-Shenzhen A-share listed companies from 2012 to 2022 as the research sample, the impact of ESG performance on enterprise exploratory innovation and utilization innovation was deeply studied, how ESG performance promotes the improvement of enterprise dual innovation ability was analyzed, and the impact effect of enterprise ESG performance on enterprise dual innovation was empirically examined. The research finds that ESG performance has a significant promotion effect on the promotion of the enterprise dual innovation ability, and the better the ESG performance, the stronger the promotion effect on the enterprise innovation of utilization. The mechanism analysis shows that the good ESG performance improves the dual innovation ability by alleviating financing constraints, and the risk taking level has a significant positive impact on the improvement of the utilization innovation ability. The heterogeneous analysis shows that the promotion effect of ESG performance on the dual innovation is more significant in non-state-owned enterprises and listed companies located in central China. Digital transformation plays a positive regulatory role in the influence of ESG performance on the dual innovation.

With the rapid development of the digital economy, optimizing the digital business environment has become a key approach for countries to enhance their economic competitiveness. The roles and interaction mechanisms between the government, enterprises, and financial institutions in this process still require in-depth exploration. Based on the context of digital transformation, the triparte evolutionary game between the government, enterprises and financial institutions in the optimization of the digital business environment was investigated. Through literature analysis, the interactions and strategy choices of each actor in the digitalization process were examined, and a triparte evolutionary game model was constructed. The dynamic evolutionary paths of the actors under different strategy combinations were simulated using replicator dynamic equations, and the model’s validity was verified through numerical simulations using Matlab. The results indicate that government policy support, enterprise digital transformation and financial institutions’ financing services are closely linked in the process of optimizing the business environment. The synergy between the three can effectively enhance the overall level of the digital business environment. Theoretical foundations and practical references are provided for promoting the development of the digital economy and optimizing the business environment.

The Huanglan coal mining area is the most threatened mining area in Hunan Province by water hazards, which seriously affects the sustainable development of the local coal industry. Accurate detection of hidden water hazards can effectively reduce the probability of hidden dangers, and exploring more efficient technical methods and using high-precision detection instruments are effective ways to solve this problem. Multi-polarized magnetotelluric technology (MPMT) measures electric field polarization at different polar distances at a common center point to obtain Kania resistivity at different polar distances, thereby obtaining more dimensional electric field data, local anomalies, and background data, which can more efficiently meet the needs of geological body detection in complex geological environments. According to the hydrogeological conditions of the Huanglan mining area, the multi-polarized magnetotelluric method was used to carry out work, analyze its application effect and electrical properties of the mining area, and prove the effectiveness of the method through known water body experiments and apply it to the whole area of water hazard exploration. The comparison between the interpretation results and the actual excavation conditions of later tunnels proves the accuracy of the method, providing a scientific basis for the design of drainage tunnels, drainage measures, and safety prevention of groundwater in the Huanglan mining area.

In previous studies, incomplete extraction of logging curve features and simpler model construction resulted in limited porosity prediction accuracy. In order to improve the prediction accuracy,the self-encoder, long and short-term memory network and the Attention mechanism were combined to construct the AE-LSTM-AT (auto-encoder-long short-term memory network-attention mechanism)model. the AE (self-encoder) unifies the feature distributions of the source domain data and the target domain data into the same space, in order to reduce the interference of the magnitude changes on the model due to the differences in data distribution, the modified LSTM(long short-term memory network) reduces the number of parameters while enhances the feature impact of distant time steps and reduces information pollution, and the introduction of the Attention mechanism dynamically calculates the attention weight of each time step, thus focusing on the key features more accurately and improving the performance and performance of the model in processing sequence data. a control group including MLP(multilayer perceptron machine) and LSTM was set up, and four sets of comparison experiments were conducted. It is proved that the model structure of has superior results in the problems of long-term prediction and cross-domain prediction.

In response to the complex geological conditions of Yangquan Fifth Mine in Lu’an Chemical Group, which have resulted in the waste of a large amount of coal resources, the main reasons for the high loss rate of coal mines was analyzed. Targeted methods were proposed to improve coal mine resource recovery, including enhancing the foresight, accuracy, and effectiveness of geological prediction and forecasting, strictly formulating the management measures for top coal caving, reasonably adjusting the coal cutting and discharging processes, strengthening communication between functional departments and frontline production units, and enhancing supervision of coal transportation, washing and processing processes. By taking the above measures, the recovery of coal resources can improve greatly.

In order to help realizing the national “double carbon target”, it is necessary to explor oilfield recovery technology in-depth. Yanchang Oilfield has established two pilot test areas, an engineering demonstration site, and determined to start the planning of CCUS(carbon capture, utilization, and storage) project with an annual injection volume of 5 million tons, but there are some limitations and deficiencies in the existing CO₂ injection and extraction process. The current situation and characteristics of CO₂-driven injection and extraction technology in oilfields were systematically described, the problems in field application were thoroughly discussed. A series of improvements and refinements are proposed in injection and extraction wellheads, tubing columns, ancillary tools and anticorrosion measures, etc., to form an injection and extraction technology that meets the demand of prolonging the 360 000 ton annual injection volume of low-permeability reservoirs. The next direction of CO₂ drive injection and extraction technology is proposed in order to provide reference and guidance for the development of the subsequent million-ton CCUS injection and extraction technology and supporting technology of Yanchang.

On June 10, 2022, a 6.0-magnitude earthquake occurred in Caodeng Township, Marcang City, Aba Prefecture, Sichuan Province. The earthquake not only caused a large number of landslides and landslides, but also caused seismic cracking and deformation of the slope rock and soil mass. Taking the K39+280~K39+390 section of the newly built provincial road S220 from Ribu to Muerzha Bridge in the earthquake stricken area as an example, the rainfall disaster mechanism and prevention technology after slope seismic cracking and damage was studied. It is found that during seismic activity, the seismic Bora shear effect promotes the expansion of rock joints and fissures, leading to the relaxation of soil structures. As a result, seismic cracking damage is widespread and has a significant impact on slope stability. The pores, joints, and fissures in the rock and soil structure of earthquake damaged slopes have good permeability, which is conducive to rainfall infiltration, resulting in a rapid increase in soil moisture content during the rainfall process. Joint fissures continuously accumulate water, and the entire earthquake damaged deformation body gradually reaches saturation during the rainfall process, forming high-value water pressure near the potential failure surface. In addition, the lubrication and softening effects of pore water and joint fissure water reduce the frictional resistance between soil particles and rock structural surfaces, leading to a decrease in shear strength and promoting the stability of the deformation body to continuously decline until instability. Earthquake damaged slopes can be prevented and controlled by point surface combination. In areas with severe earthquake damage and deformation, frame anchor rods can be used for overall slope protection, while dangerous rock falling blocks are generally developed but relatively weak. The slope surface adopts the method of retaining at the foot of the slope (concrete retaining wall+steel grating) take protective measures.

In order to explore the disturbance mechanism of shield construction on composite strata,taking the coastal composite strata as an example, and relying on the Fuzhou Coastal Line, the disturbance mechanism of shield tunneling in composite strata was investigated.A refined numerical model of shield tunneling was established based on the finite element analysis software ABAQUS, and four parameters were considered, including face support pressure, grouting pressure, jack thrust, and cutterhead torque. After validating the model with on-site monitoring data, the settlement patterns of five composite strata traversed by the shield tunneling in the actual project were examined. The results show that the closer to the excavation area of the shield machine, the greater the disturbance; when the tunnel passes through composite strata, it causes more significant cutting in the softer layer, increasing soil disturbance.

Aiming at the problem of profit distribution in a double closed-loop supply chain with manufacturers(M), recyclers(R) and ladder utilizers(T) as the main body, centralized decision-making, decentralized decision-making, MR decision-making and RT decision-making models were constructed. The optimal solutions for the supply chain members through the Stackelberg game were analyzed. The Shapley value was improved based on the three influencing factors, and the improved Shapley value was utilized to redistribute the profits of the supply chain’s participating bodies.The results show that the cooperation among supply chain members can effectively improve the overall profit of the supply chain and the profit of the members, low-capacity batteries have a high cost advantage, realizing a win-win situation in terms of profit and the environment, the profit distribution scheme proposed by improving the Shapley value increases the profit of the ladder utilizers, improves the cooperation of the ladder utilizers and the ladder utilizing motivation, and promotes the fairness of profit distribution in the supply chain and the stability of the supply chain cooperative alliance. It promotes the fairness of supply chain profit distribution and the stability of supply chain cooperative alliance.