The decomposition of submerged plants such as Potamogeton crispus releases a large amount of nutrients into the water body, which has a negative impact on aquatic ecosystems. To investigate the slowing effect of filter feeding benthic animal, the Hyriopsis cumingii, on the deterioration of water quality after the decomposition of submerged plants, a 45 day experimental chamber simulation experiment was conducted from May to July 2023 using different specifications and densities of clams and seagrass combinations to monitor changes in water quality indicators and phytoplankton community structure. It was found that filtration through the Hyriopsis cumingii can reduce the total nitrogen (TN), total phosphorus (TP), chemical oxygen demand (COD), and chlorophyll a (CHLA) in the water to a certain extent. To investigate the density effect and size effect of its Hyriopsis cumingii, low, medium, and high-density triangular sail clams were released. The experimental results show that different sizes and densities of Hyriopsis cumingii can significantly control the biomass of phytoplankton, and Hyriopsis cumingii have a significant impact on the community structure of phytoplankton. Among them, releasing small-sized (shell length 4 cm) low-density (1 g/L) Hyriopsis cumingii has the best effect on improving water quality and controlling phytoplankton biomass.

To improve the utilization rate of waste clay, a composite curing agent composed of cement, alkali excitation agent, siliceous solid waste material and sulfate solid waste material was used to cure a waste clay. Unconfined compressive strength test (UCS), water stability test, X-ray diffraction test and scanning electron microscope(SEM) test were carried out to capture the mechanical behavior and reinforcing mechanism of the solidified clay. The results show that there is a significant solidification effect on the clay when the dosage of curing agent is from 10% to 12%, and the water stability coefficient of solidified clay is larger than 80%. The UCS of the solidified clay with 12% curing agent content is 2.45 MPa after curing for 28 days, which is 2.33 times the UCS of the solidified clay at a curing time of 7 days (1.05 MPa). A large number of hydration products such as calcium silicate (aluminate) hydrate and ettringite produced in the solidified clay can improve the performance of solidified soil by improving the micro-pore structure of soil and strengthening the cementation between aggregates. The present research can provide reference for the resource utilization of waste clay.

The optimization and operational control of ventilation systems on the offshore platforms is of great significance for improving cabin environmental quality and ensuring occupant health. In response to the current lack of a comprehensive design standard system for offshore platform ventilation, domestic and international specifications for shipboard and land-based ventilation systems were systematically classified and summarized to establish a dedicated design standard framework tailored to offshore platforms. Ventilation rate models, indoor dynamic models, air quality models, and energy consumption models were analyzed. Furthermore, an overview of ventilation optimization methods was provided for three critical areas: living areas, equipment areas, and storage areas. Current challenges and technical difficulties in system design and operation were analyzed, and feasible future development strategies for ventilation system design and optimization were proposed. The research results provide scientific basis and technical guidance for the design, operation, and energy-saving measures of offshore platform ventilation systems.

With the emergence of deep learning technologies, speech enhancement methods based on deep learning have seen widespread application and generally surpass traditional approaches in performance. The fundamental framework of noise reduction signal processing in speech enhancement was outlined and progressively delved into the latest advancements in deep learning-driven speech enhancement models. A comprehensive organization of deep learning-based speech enhancement algorithms was provided, detailing the principles, characteristics, evaluation metrics, and representative studies of various neural network-based methods. The advantages and limitations of these approaches were thoroughly assessed. Finally, in light of the current developmental landscape, the core challenges encountered in the speech enhancement process were analyzed, and future developmental trajectories were discussed and predicted.

The application of building information modeling(BIM) technology in the construction industry in China has developed rapidly, and its further development is inseparable from the support of BIM standards. In view of the importance of BIM standards, it is necessary to review the existing researches on BIM standards. Firstly, three key research topics, namely theoretical research, technical research and application research of BIM standards, were determined by keyword cluster analysis method. Secondly, for each research topic, the methods and results of existing research were explained and summarized through critical review, with typical cases being enumerated. Then, the evolution trend of BIM standard research was analyzed by using the timeline map generated by keywords. The results indicate that the extension of industry foundation classes(IFC) standard and the technical and application research based on IFC will still be the research hotspots. At the same time, research on BIM standard framework will continue. Furthermore, future research on BIM standards should also focus on three cutting-edge areas: technological integration, expansion of application scenarios, and cross-disciplinary collaboration. The research results will help further develop BIM standards and improve the formulation and application level of BIM standards.

Due to the high calorific value of energetic materials combined with their flammable and explosive nature. The propagation in the tube will affect the shape and geometric dimensions of the tube, resulting in the propagation of detonations is affected. In order to deeply investigate the influence of annular perturbation on the propagation of detonation waves, accurately and clearly observe the propagation dynamics of the detonation wave in annular tube, and better reflect the influence of boundary layer effect and curvature tube wall on detonation waves.An annular disturbance detonation experimental device was built up. Annular disturbance was realized by adding disturbance tubes with different diameters to the end of the smooth circular tube. The detonation wave velocity, triple-point trajectory, and cell structure were observed by using a data acquisition system composed of pressure sensors and smoke films. The experimental system of annular disturbance detonation was constructed successfully. It was able to obtain the ideal propagation data with remarkable regularity and high reliability. After verification, the detonation experimental device built has excellent data acquisition capabilities, and the obtained data confirms that the device is scientific and effective. The experimental system built contributes to providing theoretical support for accident prevention and control, allowing scientific instruments to play a more significant role in supporting technological innovation and societal development.

In order to identify the characteristics of the geothermal field in Longmuwan, including its temperature field, hydrochemistry, and recharge sources, and to analyse its genetic model. The hydrogeochemistry, isotopes, and geothermal temperature measurement methods were employed, integrated with regional geological characteristics, the hydrochemical characteristics, heat reservoir temperature and recharge sources of the geothermal field were systematically analysed, and a conceptual genetic model was preliminarily constructed. The results indicate that the geothermal gradient of porous stratified reservoir is 5.23~8.25 ℃/100 m, while the fracture zoned reservoir has a gradient of 1.47~4.50 ℃/100 m, the deep heat reservoir temperature range is 87~115 ℃, with geothermal fluid circulation depths reaching 960~2 298 m in Longmuwan geothermal field. The hydrochemical types of geothermal fluid are HCO₃-Na·Ca type and Cl·HCO₃-Na type, primarily recharged by atmospheric precipitation. The calculated recharge elevation is 421~597 m, suggesting the recharge area is the hinterland of Jianfeng Ridge. Isotopic age results show that the formation age of geothermal water exceeds 6 000 a, and it has the characteristics of a long recharge pathway and slow groundwater flow.

To improve the accuracy of precipitation forecasts and address the limitations of traditional numerical weather prediction models in forecast precision and computational efficiency, a meteorological large model was combined with a deep learning post-processing approach was combined. A case study was conducted for precipitation forecasts over Shaanxi Province during 2008—2018. Based on meteorological variable fields output by the FourCastNet model, a pre-trained model mapping meteorological fields to regional precipitation was constructed using Bayesian-optimized convolutional neural networks (CNN)/long short-term memory (LSTM) networks. The results indicate that this method outperforms traditional numerical weather prediction models in terms of spatial resolution and forecast accuracy. The regionally fine-tuned forecasts more accurately capture the spatiotemporal distribution of precipitation. Furthermore, the Bayesian-optimized deep learning post-processing algorithm effectively mitigates the impact of initial field biases on forecast results. These findings demonstrate the significant potential of integrating meteorological large models with deep learning post-processing algorithms for accurate precipitation forecasting, providing scientific support for disaster prevention, agricultural production, and water resource management.

The continental shale oil in the Da’anzhai section of the Ziliujing Formation in the Sichuan Basin has great exploration and development prospects. The sedimentary facies are diverse, the lithology is complex, and the vertical changes are fast. The understanding of the lithological differentiation combination mode and reservoir characteristics is unclear, which restricts the optimal selection of favorable shale oil reservoirs in the Da’anzhai section. Based on observations, thin section analysis, X-ray diffraction (XRD), vitrinite reflectance Ro testing, total organic carbon (TOC) content testing, physical property testing, rock pyrolysis, fluorescence analysis, and other experiments of four actual drilling cores in the central Sichuan Basin. By comprehensively analyzing mineral composition characteristics, as well as considering the content, occurrence, thickness of the shell layer, and its superimposed relationship with shale, seven lithological combination models for the Da’anzhai member in the central Sichuan basin were established (pure shale type, shale interbedded with floating shell limestone type, shale interbedded with millimeter scale shell limestone type, shale interbedded with centimeter scale shell limestone type, shale interbedded with centimeter scale shell limestone type, shale interbedded with shell limestone type, and pure shell limestone type). By integrating reservoir characteristic parameters such as TOC content, physical properties, oil content, and brittleness index, the reservoir characteristics of different lithological combinations were clarified. Based on the exploration and development practices of the Da’anzhai section and reservoir characteristics, a classification evaluation standard for reservoirs was established. It is believed that the lithological combination of shale interbedded with millimeter scale shell limestone and shale interbedded with centimeter scale shell limestone is the key layer for exploration and development, which has most favorable source reservoir combination, best physical properties, the highest oil saturation index(OSI) index, strong mobility, and good brittleness. The thick dark shale interval has the highest TOC content, good physical and oil properties, which is a potential interval for further exploration.

Based on the detailed process mineralogy of gold ore from Jierwushake gold deposit in west Junggar, the selectability test was carried out. The results show that the valuable element in the ore is Au with a grade of 3.61 g/t. The types of gold minerals are natural gold, silver-gold, gold-tellurium and gold-selenium-silver ore, and the embedded states are encapsulated gold, fracture gold and intergranular gold. The particle size is mainly microparticle gold (0.2~10.0 μm), accounting for 96.96%, and the number of fine and above gold particles (>10 μm) account for 3.04%.The flotation-leaching combined process is recommended for mineral processing test: the Au grade of flotation-flotation concentrate is 53.14 g/t, and the recovery rate is 31.69%. After leaching the whole sludge of flotation tailings for 24 hours, the gold content in tailings is 0.20 g/t, and the leaching rate of gold operation is 89.56%, the Au total recovery rate of combined process is 93.31%, and the instructions are ideal.