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.

Dalishu uranium deposit is a carbonate rock type uranium deposit located at the Lukan fault hanging wall in the southeast limb of Xiongwu anticline. Researches on this uranium deposits are still seldom reported. Based on the field geological survey and collection of uranium ore samples in trenches and boreholes, this paper conducted a study on mineralogy，geochemistry，and genesis of the deposit. The study show that the ore body is controlled by the northeast-trending faults and the secondary Si-Ca structural planes and closely related to organic matters. The main uranium minerals in the ore are pitchblende and uraninite，and the uraninite minerals,which are closely associated with pyrite and “black”organic matters. The trace elements such as V，Cr，Co，Ni，Cu，Zn，and Mo are enriched in the ore and the wall rocks.The rare earth element distribution pattern is“right-inclined” with the enrichment of LREE and negative δEu anomaly，indicating a certain genetic relationship with the Cambrian black rock series. It believed that the ore-forming materials maybe come from the Cambrian Niutitang and Laoba formation，the deposit was formed by deep hydrothermal action which extracted the uranium from the Cambrian basement ore-forming materials and carried to favorable areas under the orogenic background of Himalayan period.

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 Ordos basin is the second largest energy basins in China，and several large uranium ore deposits have been discovered. The upper member of Lower Cretaceous Huanhe formation in the basin is the main prospecting horizon. In this paper，the uranium mineralization characteristics and metallogenic mechanism of Lower Cretaceous Huanhe formation in northern Ordos basin are studied by means of geological characteristics，altered mineral association，rock geochemistry and the metallogenic model is established. The three superimposed system domains of Lower Cretaceous Huanhe formation formed a fine-coarse-fine stratigraphic structure，which provided a foundation for the migration of uranium ore-forming fluids in the later period. In the early stage of mineralization，the scale of the oxidation zone was limited，and the main alteration minerals were hematite，limonite，pyrite，chalcopyrite，sphalerite，calcite and coffinite，etc. The metallogenic environment were of strong reducing capacity，the ore-forming fluid were strongly alkaline，and intense water-rock interaction occured. In the middle and late stage of mineralization，the oxidation zone advanced into the basin，a strong REDOX reaction developed ，the primary ore zone and reduction zone were formed，and the metallogenic environment maintained the early strong reducibility. The main altered minerals in this period were hematite，limonite，pyrite，montmorillonite，chlorite and uranite. With the mixing of ore-forming fluids，ore-forming fluids gradually turn to weak alkaline，uranyl silicate ions decomposed，and a large amount of uranite was formed.

To accurately measure the oxidation-reduction potential of uranium ore geological samples, this study try to explore a better measurement method and experimental conditions by comparing and analyzing the application effects of the acidic potassium dichromate method and the alkaline potassium permanganate method in the measurement of the oxidation-reduction potential of uranium ore geological samples. The potential drop method was used to systematically conduct a multi-dimensional comparison between the acidic potassium dichromate method and the alkaline potassium permanganate method. The aspects of comparison included solution stability, optimal solution concentration, sample soaking time，solid - liquid ratio, and electrode equilibrium time. The sample soaking time and electrode equilibrium time of the alkaline potassium permanganate method are shorter than those of the acidic potassium dichromate method, allowing it to reach a stable and reliable potential value more quickly. For strongly reducing samples，the ΔEh value obtained by the acidic potassium dichromate method is larger. However, the evaluation conclusions of the two methods regarding the reduction ability of the samples are consistent. Nevertheless, the precision of the alkaline potassium permanganate method is better.The optimal experimental conditions for the alkaline potassium permanganate method are as follows: a concentration of 0.03 mol∙L^-1, a sample soaking time of 1.5 h，a solid-liquid ratio of 1:25, an electrode equilibrium time of 5 min, a reaction medium of 0.2 % potassium hydroxide solution, and a temperature of (25±1) °C. The ΔEh value measured by this method is basically consistent with the judgment results of the oxidation - reduction environment by the oxidation coefficient method (Fe²⁺/Fe³⁺), and is also basically consistent with the color of the samples.Based on comprehensive experimental indicators, the overall performance of the alkaline potassium permanganate method is superior to that of the acidic potassium dichromate method in the measurement of the oxidation - reduction potential of uranium ore geological samples. By adopting the optimal experimental conditions, the accurate measurement of the oxidation - reduction potential of uranium geological samples is achieved, providing reliable technical support for uranium ore geological research.

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.

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.

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 order to make the distribution of lateral physical properties and layer parameters between adjacent measuring points smoother and more continuous and reduce the limitations of a single geophysical inversion method，a pseudo-two-dimensional lateral constrained joint inversion study of controlled source audio frequency magnetotelluric method (CSAMT) and micro-motion spectrum ratio method was carried out. The microtremor data is numerically simulated using the spectral ratio method，combined with the CSAMT-based limited memory BFGS (L-BFGS) inversion algorithm，introducing the lateral constraint theory，and adding the cross-gradient function to achieve the mutual coupling of two different physical parameters. A set of quasi-two-dimensional lateral constraint joint inversion algorithms was developed，and the accuracy and effectiveness of the algorithms were verified through two sets of theoretical models. Meanwhile，the inversion algorithm is used to invert the measured data in Yanqing，Beijing. The results show that there is a good correspondence between the abrupt interface morphology of resistivity and shear wave velocity，which proves the practical value of the laterally constrained joint inversion algorithm.

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.