According to the emission of pollutants during the operation of a reduction ilmenite (associated radioactive ore) project, the individual effective doses of different exposure routes on the surrounding public were predicted, and the contribution of different exposure routes were analyzed, to provide a reference for estimating the radiation dose of the project to the public. The results show that the maximum individual effective dose of the public members was 0.09 mSv/a, and the key exposure route was radon inhalation irradiation, which contributed 80.6%.The contribution share of ingestion exposure was 17.8%, the contribution of internal exposure due to radionuclides inhalation was 1.6%. The radiation impact of the project on the surrounding public meets the relevant standard requirements. Compared with radon inhalation exposure, the contribution of ingestion and inhalation exposure is smaller, but it cannot be ignored.

The uranium purification and conversion line will produce sodium diuranate precipitation and impurity residue. In order to recover the metallic uranium and reduce the waste mass, the uranium metal was recovered from these uranium-containing precipitates by nitric acid direct leaching and calcination-nitric acid leaching method. The content of impurity ions in the leaching solution were analyzed, and the main factors affecting the leaching rate of uranium were determined. Under the optimum conditions, the leaching rates of uranium by calcination-nitric acid leaching and direct nitric acid leaching are 98.14% and 96.11% respectively, and the mass of uranium-containing precipitates can be reduced by about 85%~90%.

In order to study the influence of heterogeneous strata on blasting, the stratigraphic factors and coupling methods were analyzed, and the thickness, density and dip angle of the rock strata were numerically studied by different coupling methods. The results show that the increase of the thickness of the middle sandstone and the increase of the density of the upper and lower layers will inhibit the crack propagation, and the inclined sandstone rock layer will produce horizontal and oblique staggered cracks, and the water-coupled charge blasting can protect the blast hole and increase the effective stress of the blast stress wave, and the selection of appropriate uncoupling coefficient can increase the energy transmitted by the blasting stress wave. The blasting force of the cracker is greater, and the addition of a warhead can form an initial crack and guide further crack propagation. Designing a reasonable scheme according to the formation condition can improve the blasting and permeability efficiency.

In-situ leaching of uranium, as a green uranium mining technology, generates massive data in production operation, which are available for the big data analysis and trend prediction to improve the reliability of technicians in making production plans. In the current prediction algorithms, the attention mechanism in the temporal prediction model based on the encoder-decoder structure has the problems of computational complexity and high memory consumption. In this paper, we proposed a depthwise separable convolutional model, in which the semantic damage caused by fixed segmentation was reduced by the dynamic sequence segmentation module, and the depthwise separable convolutional mixer module was used to reduce the model running time and capture local features as well as global features. The results show that the Mean Square Error (MSE) and Mean Absolute Error (MAE) of the depthwise separable convolutional hybrid network model are reduced by 1.04% and 4.13% respectively, compared with Patch Time Series Transformer (PatchTST), and the proposed dynamic sequence segmentation module MSE and MAE are reduced by 7.32% and 5.03% respectively, compared to the original model; in the comparative performance analysis, the training speed of this model is 59.91% faster than the Trend Seasonal Decomposition Linear (Decomposition Linear, DLinear) model. The depthwise separable convolutional model can accurately predict the future trend of sulfuric acid injection volume in the production operation of the mining area, improve the existing prediction model for in-situ leaching data by solving the problem of long running time, large running memory, poor data fitting problems, which provide a theoretical and practical reference for the decision-making of in-situ leaching production.

In order to improve the efficiency of uranium extraction by the moving bed adsorption tower, Fluent and Edem software were used to simulate the process of uranium extraction by the moving bed adsorption tower. By adjusting the inlet flow rate, and observing the movement of resin particles, the distribution state and the settling of saturated resin in the moving bed adsorption tower, the optimal inlet flow rate was analyzed and obtained. The accuracy of the simulation results was verified by building an experimental platform, and the comparative analysis of the experimental data with the numerical simulation results confirmed the consistency of the two conclusions, thus verifying the accuracy and applicability of the model. The results show that the optimal inlet flow rate is 4 m³/h. At this flow rate, the extraction efficiency of uranium ions is maximized, which provides an important design parameter for the future design of moving bed adsorption tower.

Rare earth elements are extensively utilized in defense technology and high-tech industries, leading to a surge in global demand. However, conventional recoverable rare earth resources are limited, necessitating the development and utilization of associated rare earth resources. Taking a sandstone-type uranium deposit in Ili Basin, Xinjiang as the research subject, using inductively coupled plasma mass spectrometry (ICP-MS) to test the content of rare earth elements and analyze their occurrence states. The differences in rare earth element occurrence under various particle sizes of uranium minerals are systematically investigated. The results show that associated rare earth element content within the Ili Basin's sandstone-type uranium deposit ranged from 85.48×10^-6 to 221.17×10^-6. The overall REE curve using average values derived from Australian Shale demonstrate a right-upper inclination trend, indicating fractionation between heavy and light rare earth elements during uranium mineralization processes. Fine ores with particle sizes <0.425 mm exhibite a higher propensity for REE occurrence. The correlation between rare elements such as Mo and Sc and rare earth elements is significant, and both have similar ore-forming environments. The mass concentration of rare earth elements in the production liquids of in-situ leaching site for uranium range from 23.92 to 26.03 mg/L, which reached the standard of recycling and use. The content of rare earth elements in the production liquid is medium rare earth elements, light rare earth elements and heavy rare earth elements from high to low. It is feasible to recover rare earth elements from sandstone uranium deposits using acid in-situ leaching process.

In order to promote the full utilization of in-situ leaching uranium resources, statistical analysis was conducted on the thickness of ore bodies, filter length, and effective thickness of ore layers in a research area of an in-situ leaching uranium mine in Inner Mongolia. The three-dimensional mining software was used to construct a geological model and mining model of the ore body. Through visual comparison of three-dimensional entities, the location of the "residual difficult ore body" outside the leaching range was accurately grasped, and the remaining resource amount was estimated. The results show that the remaining resource amount was considerable and needed further research. Using the price method to calculate the economic indicators of the deposit, conducting a technical and economic evaluation of the deposit, using the calculated economic uranium per square meter as a threshold to constrain the resource model of the "residual difficult ore body" outside the leaching range, and generating an economic block model. Using the inverse distance power method to estimate the resource quantity of the economic block model, the resource quantity of the uranium per square meter above the economic indicators is estimated. Through research, the precise location, remaining resources, and economic viability of "residual difficult ore bodies" outside the vertical leaching range within the research area have been mastered, achieving economic evaluation of the remaining resources of in-situ leaching mines.

In the majority of reactors, a proportion of the combustible neutron poisons is incorporated into the fuel rods with the intention of increasing their burnup depth, thereby extending the operational lifespan of the core and enhancing the economic efficiency of the process. Erbium (Er) is a common combustible neutron poison, and in order to address the issue of on-line monitoring of the Er elemental content during the production of such fuel rods, a solution must be found. A novel approach, namely Prompt Gamma-ray Neutron Activation Analysis (PGNAA), is employed, which is well-suited to large-volume samples and can be detected online. Utilising the americium-beryllium (AmBe) isotope neutron source and high-purity germanium to establish an experimental measurement platform, with erbium oxide (Er₂O₃) selected as the sample. This is also combined with the MCNP to perform simulation calculations. The results demonstrate that the mass and the net area of the characteristic peaks of the sample exhibit a linear variation after correction for neutron self-shielding. The mass detection limit of the platform for erbium was 24.2 g, with a relative standard deviation of 3.65% and a relative error of 3.47%. The accuracy and precision were affected by the statistical fluctuations inherent to the data set. Subsequent optimisation of the equipment will enhance the accuracy and precision. The results demonstrate the feasibility of this method for online monitoring and establish a foundation for the subsequent use of thermal neutrons to measure the elemental content of erbium and to correct the neutron self-shielding effect of large-volume samples.

Uranium tailings pond is a major safety and environmental hazard, and it is very important to ensure the safety and reliability under all conditions (including extreme disaster condition). Seismic condition is an important extraordinary working condition affecting the safety of uranium tailings ponds. Focused on the renovation project of a uranium tailings pond, the three-dimensional dynamic finite element method is applied to simulate and analyze seismic condition of uranium tailings pond for the first time. HS small model and UBC3D-PLM model constitutive model are selected to simulate and analyze a uranium tailings pond by dynamic finite element method. Seismic wave characteristic parameters and tailings dynamic characteristic parameters are taken into the finite element seismic dynamic simulation calculation, and the extreme conditions of rare earthquake are considered in the calculation, the displacement nephogram, acceleration nephogram, acceleration time history curve, potential liquefaction range and incremental displacement nephogram are obtained. The results show that the displacement of the dam body increases continuously under earthquake action, and the displacements of dam body decrease obviously after the implementation of the renovation project; there is no obvious change in the acceleration response caused by the renovation project; the liquefaction area is mainly distributed in the slope of the filled dam below the rock-filled platform, mainly in shallow layers (depth of about 3~6 m), and the improvement of liquefaction is limited. The stability safety factor of the dam body under rare earthquake increases from 0.975 to 1.061, the security of rare earthquake condition gets fundamental improvement.

The radioactivity of investigation, analysis and evaluation of liquid effluent such as mine water, tailings pond effluent and process wastewater produced by a uranium mine were conducted, the radioactivity level of liquid effluent and the pollution of accepted water were mastered, and the radiation impact of liquid effluent on local residents through various pollution channels was evaluated. The results show that the discharge concentrations of U, ²²⁶Ra, ²¹⁰Pb and ²¹⁰Po in the mine water, process wastewater and tailings pond effluent meet the limit requirements. The concentration of U in the middle and lower reaches of the accepted water body is slightly higher than the background level, and the concentrations of ²²⁶Ra, ²¹⁰Pb and ²¹⁰Po are among the normal background levels. The maximum personal dose caused by liquid effluent from uranium mine was 1.45×10^-3 mSv/a of 20 km, and the maximum collective effective dose was 2.35×10^-4 man·Sv/a of 20 km. The key resident group was the population group of WNW orientation in the >2~5 km area. The liquid effluent of uranium mining is discharged into the receiving water after reaching the standard, which has little impact on local radiation.