This study monitored the activity concentrations of radionuclides in seepage water from a decommissioned uranium tailings pond，analyzed the temporal trends of radionuclide concentrations in seepage water from 2020 to 2024，and investigated the correlations between radionuclides in seepage water and monitoring well water to evaluate the radiological impact of seepage on surrounding groundwater. The results showed that the seepage water contained uranium at concentrations ranging from 15.1 to 397 μg·L^-1，²²⁶Ra from 0.008 to 0.176 Bq·L^-1，²¹⁰Pb from 0.007 to 0.172 Bq·L^-1，and ²¹⁰Po from 0.004 to 0.021 Bq·L^-1，levels of ²²⁶Ra，²¹⁰Pb，and ²¹⁰Po are all below regulatory limits. In monitoring well water，uranium concentrations ranged from 0.21 to 2.98 μg·L^-1，²²⁶Ra from 0.006 to 0.023 Bq·L^-1，²¹⁰Pb from 0.004 to 0.131 Bq·L^-1，and ²¹⁰Po from 0.002 to 0.011 Bq·L^-1，all consistent with local background levels. Analysis using the Mann-Kendall test revealed no significant temporal trends for uranium and ²²⁶Ra in seepage water，while ²¹⁰Pb and ²¹⁰Po concentrations exhibited declining trends and become stable. According to the evaluation results of Spearman correlation coefficient, the Spearman correlation coefficient ρ_s for uranium，²²⁶Ra，²¹⁰Pb，and ²¹⁰Po in the seepage water and monitoring well water were 0.314 3，0.074 4，0.939 5，and 0.460 5，respectively. Significant positive correlations were observed between ²¹⁰Pb and ²¹⁰Po in monitoring well water and their counterparts in seepage water. These findings provided critical data and regulatory guidance for authorities and enterprises to strengthen radiation environmental monitoring and implement targeted management strategies, thereby mitigating potential risks to groundwater safety around uranium tailings facilities.

As the field verification standard for radioactive measuring instruments such as gamma loggers in uranium exploration work，radium sources have played a good role in controlling the metrological performance of the instruments. However，due to national security and environmental protection policies，the existing number of solid radium sources in China can hardly meet the increasing demand of uranium exploration workload，and there is an urgent need to carry out the development of alternative verification devices. It is planned to use natural uranium ore powder and other materials to develop verification devices to verify the radioactivity measuring instruments during the period. Based on the theory of γ radiation field，the relationship between the geometry of the verification device and the internal γ field was calculated，and it was experimentally verified that an annular column verification device with an internal bore diameter of 50 mm and an axial length of 600 mm can ensure that the center of the verification device has a saturated plateau area of 200 mm，leaving at least 100 mm redundancy for convenient detector placement. The internal irradiation volume rate is positively correlated with the thickness of the horizontally oriented ore layer before the saturation thickness is reached. The practical geometry of the γ logger verification device was determined by theoretical calculations，avoiding the waste of material and time in a large number of conservative designs.

The southern section of Zone No. 9 in Mianhuakeng deposit is located in the middle of the Zhuguang pluton,which is a rich in uranium. The fault zone has undergone multiple tectonic and hydrothermal action ，forming the favorable space for uranium mineralization and storage. Through secondary development and utilization of data from previous exploration projects，this paper analyzes the change patterns of the ore bodies at different elevations in the southern section of Zone 9 by the statistics on grade and thickness. The results indicate that the ore body trend to be rich in the depth but remain stable in thickness on the whole with local widening. The occurring frequency of moderate and high-grade ore segments are increasing in the deep, which may be caused by the reduction environment in the deep. This understanding provides clues and basis for the next uranium predicting and prospecting.

In seismic exploration，high-resolution seismic reflection imaging data volumes are critical tools for achieving fine identification of thin sandstone bodies and fault structures in sedimentary basins. However，actual seismic imaging profiles often face the loss of low- and high-frequency signals，leading to low seismic imaging resolution and ineffective identification of oil，gas，uranium，coal，and other mineral resources. In signal processing，integral and differential algorithms of effective signals respectively reflect their low- and high-frequency components. Based on this principle，this paper proposes an interpretative high-resolution processing method using multi-level fractional calculus. By separately calculating different fractional-order components of effective signals，the missing low- and high-frequency components in seismic imaging profiles are obtained. Through the introduction of multivariate Gaussian theory，Bayesian theory，and statistical inversion to improve the solving process of weighting coefficients，a broadband high-resolution seismic imaging profile is established. Compared with traditional calculus-based high-resolution processing methods，this method effectively enhances the accuracy of weighting coefficient determination and avoids the impact of calculation errors on precision. Processing results from both onshore and offshore actual data demonstrate that the proposed method significantly improves the resolution and frequency bandwidth of seismic data，thereby enhancing high-resolution identification of sand bodies and related structures.

To address the applicability challenges of geophysical water exploration methods in the Carboniferous Huangjin formation of carbonaceous-argillaceous limestone characterized by uneven development of dissolution fissure，complex hydraulic connectivity of argillaceous shale interlayers，concealed groundwater occurrence conditions，scant water resources，and improve the success rate of water well drilling, This paper adopts high-density resistivity and Audio-frequency Magnetotelluric Sounding (AMT) methods to detect low-resistivity anomalies in an area of Shaoshui town，Guilin. By applying the induced polarization (IP) secondary time difference method to analyze and delineate water-induced anomalies within these low-resistivity zones. the spatial distribution and occurrence characteristics of groundwater were identified. Results indicate that the AB/2 positions characterized by low-resistivity anomalies，positive induced polarization secondary time difference values with good continuity correspond to the actual aquifer locations. Meanwhile，areas with single-point values or values below 50 ms and poor continuity exhibit low water-bearing capacity.

Under the background of developing digital economy，the digital transformation of uranium exploration is facing structural imbalances，manifested as core contradictions such as the difficulty in integrating multi-source data，technology fragmentation，and the disconnection between data flow and business flow. This paper focused on the application requirements of digital exploration technology，proposes an information architecture model of “business logic reconstruction-data asset governance-technology middle platform empowerment”as a trinity，and designed the overall blueprint of the “54321 Project”，covering five types of application systems，four supporting systems，three platforms，two types of centers and one full-process data chain, so as to solve the problem of the broken chain of“data-knowledge-decision”. The closed-loop optimization of business flow，data flow and decision-making flow was achieved through a four-dimensional collaborative architecture system. Through the data middle platform and cloud platform，the management domain and the production domain are deeply coupled. A technical support system centered on the integration and application of multi-source data is constructed，forming an integrated data ecosystem of “mining-storage-treatment-utilization”，providing a replicable theoretical framework and practical paradigm for the digital transformation of uranium ore exploration.

The current research on quantitative assessment of nuclear emergency response plans suffers from the lack of a systematic assessment framework and methodological limitations，which are manifested in the fragmentation of assessment dimensions，weak relevance of the indicators，and significant subjective cognitive bias，resulting in serious constraints on the comparability and reproducibility of the results of the assessment. The current assessment situation is difficult to meet the urgent needs of nuclear emergency rescue teams for the continuous improvement of plan quality， especially the lack of effective quantitative tools for key performance indicators，such as the timeliness of plan response and the rationality of resource allocation. To address the kennel problems of discrete index system and strength the subjectivity in the evaluation of nuclear emergency rescue teams’emergency plans，this study constructs a multi-level quantitative assessment system for emergency plan quality based on the theory of complex adaptive systems，and the fusion of heterogeneous data from multiple sources and optimisation strategy of model integration. At the level of theoretical construction，this study firstly deconstructs the professional characteristics and operation mechanism in the process of nuclear emergency plan preparation. Combined with the empirical data accumulated during the regular operation and maintenance of nuclear emergency rescue teams，a three-dimensional assessment framework was innovatively proposed. The framework systematically integrates the core assessment dimensions such as normative principles，structural integrity requirements and content coverage，forming a hierarchical assessment system oriented to continuous quality improvement. In terms of methodological innovation，this study adopted the deep coupling strategy of hierarchical analysis method (AHP) and fuzzy comprehensive evaluation method (FCE) to construct a hybrid assessment model with dynamic correction function. Through the structured indicator system design method，a stepwise evaluation system containing 6 first-level indicators (system architecture， response process，resource allocation，training and rehearsal，information management，and continuous improvement) and 23 second-level indicators (e.g.，completeness of command system，timeliness of emergency response，and rate of equipment configuration up to the standard，etc.) has been established. Among them，the AHP module completes the allocation of indicator weights by constructing a 1-9 scale judgement matrix，focusing on solving the problem of quantifying the structural relationship between multi-level indicators；while the FCE module applies the trapezoidal affiliation function to achieve the quantitative conversion of qualitative indicators，effectively reducing the bias of subjective judgement. The model validation process adopts a dual testing mechanism：the theoretical level is to test the structural validity of the indicator system through expert argumentation; the practical level is to select a national nuclear emergency rescue team to carry out empirical research. Example analyses show that the model can accurately identify the weak links of the preplanning system.The quantitative assessment system constructed in this study has gotten breakthroughs in three aspects：First，the establishment of a multi-dimensional evaluation framework of ‘standard compliance-process rationality-performance compliance. Second，the development of a hybrid AHP-FCE algorithm; and third，the innovation of a dynamic correction mechanism，so that the model can automatically optimise the indicator structure with the changes in the emergency environment. The study provides methodological support for the construction of China’s modern assessment system of nuclear emergency response capability，which has important theoretical value and practical guidance significance. Subsequent research will focus on expanding the applicability of the assessment model in the scenarios of nuclear emergency response collaboration and new reactor applications，and continue to improve the universality and accuracy of the model.

Hydrogeological conditions are crucial for the site selection and long-term safety assessment of high-level radioactive waste (HLW) disposal repositories. This study focuses on the groundwater circulation characteristics of Xinchang preselected site and its southern periphery of the Beishan area for HLW disposal. A comprehensive approach employing multiple environmental isotopes, hydrodynamics, and numerical modelling was used to investigate groundwater circulation within the study area. Results indicated that groundwater in shallow loose sediments exhibited relatively rapid renewal rates, with an average age generally less than 30 years. The apparent ¹⁴C age of deep bedrock groundwater generally exceeding 10 ka within the underground research laboratory (URL) site. There was no evidence of contributions from deep crustal or mantle sources to groundwater within the region. Within the Xinchang site, the groundwater head shows pronounced vertical stratification, with a higher hydraulic head in shallow zones than in deeper ones. Groundwater in boreholes distant from the gully shows weak hydraulic connectivity with precipitation, and the groundwater level often exhibits periodic fluctuations. The groundwater flow systems can be categorized into three types: regional, intermediate, and local. The local flow system was the most active, accounting for over 80 % of the total flux. These characteristics showed that the hydrogeological conditions in the study area were favorable for the geological disposal of HLW.

CO₂ is the main component of non-condensable gas in high-temperature geothermal fluid and its existence still have important impact on geothermal development. Determining its content in high-temperature geothermal fluid is of great significance for geothermal development. The conventional sampling and testing analysis of CO₂ content determination has some drawbacks, such as insufficient sampling representativeness，cumbersome implementation process and high sampling cost. Based on the pressure-temperature measurement in the wellbore during discharge tests and two-phase flow calculation, this paper proposed a new method to determine CO₂ content in the geothermal reservoirs. This method only uses a large number of relatively reliable measured data of temperature and pressure, it has low cost, strong practicability and good reliability. This paper first describes the pressure-temperature measurement during discharge tests. Then constructs a model that solves the two-phase flow in the geothermal wellbore, which was verified by comparison with the commercial software WELLSIM, and determine CO₂ content by using both the wellbore pressure-temperature measurement and model calculation data. Finally, the method was tested and verified by using the measured data from Gulu geothermal field in Tibet and the Ziledaer geothermal field in Turkey, and the CO₂ contents in the geothermal reservoir were determined to be 1.1 % and 3.2 % respectively.

In order to understand the current situation of the air absorption dose rate level from terrestrial γ-radiation in Yinchuan, master the distribution pattern of surface γ-radiation，evaluate the external exposure level of residents，gradually establish and improve the environmental radiation background database of the whole city of Yinchuan，Ningxia，and provide technical support for ensuring the health and safety of the public and the development of urban construction，and provide a basis for government decision-making, Evenly measuring grid method was used to cover the measurement area of the air absorption dose rate of surface γ-radiation in Yinchuan city. The dose rate levels of different administrative regions，different environmental conditions，different soils and materials in Yinchuan city were collected and summarized, the effective dose received by residents was estimated. The survey results indicate that the average terrestrial gamma radiation absorbed dose rate in Yinchuan (after deducting cosmic ray contributions) is 48.67 nGy·h^-1，primarily attributed to ⁴⁰K. This value closely aligns with the regional average in Ningxia Hui Autonomous Region but is significantly lower than the national average. The resultant annual effective dose to the public is calculated as 0.30 mSv，which is lower than both the per capita annual dose from terrestrial radiation in China (0.46 mSv) and the outdoor gamma radiation dose in Ningxia (0.55 mSv).