The governance of large and complex goaf groups is a long-term process.Aiming at the mined-out area groups at different control stages，the formulation of scientific and reasonable control plans plays a vital role in the safety of mine production.After years of mining in an underground mine，a large number of mined-out areas have been formed.Due to the long existence of the mined-out areas，the upper and lower middle sections of some mined-out areas and adjacent panels have caving through，forming a large and complex group of mined-out areas，which seriously threatens the safe production of the mine.At present，numerical simulation is one of the effective methods to analyze the stability of the goaf.However，in the process of numerical analysis，for complex and large goaf groups，there is a direct conversion of the three-dimensional laser point cloud data into a computable grid model.Difficulties such as huge number of grids，long calculation time，inability to converge or even calculation.In order to obtain a calculable high-precision goaf group model，first use 3D laser scanning to scan and detect the goaf group to obtain an accurate 3D model of the goaf.Due to the large amount of point cloud data from the 3D laser scanning，it is passed through Geomagic-Midas Coupling modeling，processing the model under the condition of ensuring that the basic shape of the model is not distorted，and obtaining a computable numerical model of the goaf group.Then use FLAC3D to perform numerical calculations on the goaf group，according to the stress cloud diagram，displacement cloud diagram and plasticity area distribution map，preliminary analysis of the entire goaf group.And at the same time，according to the displacement instability criterion，the roof hidden danger areas of No.1 large goaf and No.3 medium goaf are determined.The simulation calculation results were compared with the site caving detection results verifies the reliability of the numerical simulation method.Due to the occurrence of local caving，the roof stress of the goaf group is redistributed，so the secondary numerical simulation of the goaf group after the caving was carried out，and the scope of the hidden danger area was predicted.The research results provide a scientific basis for the identification of safety hazards and the formulation of control measures in the mine goaf.
Goaf has become a major hidden danger affecting mine safety production.In order to accurately analyze the stability of complex goaf group and strengthen the safety control of goaf group in mine，based on the fine detection data of goaf group in a mine，a coupling modeling and numerical simulation analysis method of Geomagic，Midas GTS and FLAC3D was adopted to analyze the stability of complex goaf group.At the same time，the safety classification evaluation system of complex goaf group was established based on 16 indicators such as goaf type，rock compressive strength and exposed area，and the safety classification evaluation of complex goaf group was carried out.The results show that there are caving hazards in the hanging wall and southeastern roof of large ore body goaf.The ‘springboard’ rockmass in the northwest of the panel-5 will be deformed greatly in the process of residual ore mining.There is great stress concentration in the inter-pillar separated by each goaf in the main mining area.Combined with the safety classification evaluation results of goaf，the treatment measures of each goaf are proposed.The research results provide reference for the stability analysis and safety classification evaluation of mined-out areas in similar mines.
Geological disasters such as collapse of tunnel roof or wall and water inrush seriously threaten the life and property safety in the underground mine.It is particularly important to predict the geological conditions ahead before excavation.Based on advanced prediction，the discontinuous structures such as broken zones，weak interlayers and goafs can be found in time. Then， the geological disasters can be greatly reduced under effective measures，which is of great significance to the safe，economic and efficient mining of mines.It is discovered that the No.5 stope in the deep granite porphyry area of an underground gold-copper mine collapsed with a suspected goaf，which caused great potential safety hazards to subsequent production.Tunnel Reflection Tomography （TRT） technology，as a medium and long-distance advanced prediction technology，has the advantages of low-loss materials，convenient operation，safety and stability，and it is currently being gradually promoted and used in mines.In this paper，the TRT6000 system was applied to complex empty areas detection of this gold-copper mine，including 6 detection points distributed in 3 middle sections.Furthermore，a space three-dimensional model was established to make up for the lack of demonstration and observation of the imaging results of the TRT system.By comparing the results obtained from the interpretation of the TRT with the drilling results available，it can be found that the area covered by the borehole is basically consistent with the results of the advanced prediction of the TRT.The established three-dimensional space model intuitively reflects the distribution range of problem area such as broken zone and mined-out area，so that mine producers can have a clearer understanding of the specific situation.The TRT prediction results are basically consistent with the detection drilling results，which proves the feasibility of TRT advanced geological prediction technology in underground mines.The three-dimensional model is innovatively established to visually demonstrate and observe the TRT interpretation results，and achieved a good result.It provides ideas and directions for the visualization of TRT results interpretation.
The surrounding rock of the underground tunnel is distributed with structural planes of different occurrences and sizes. The structural planes determine the deformation characteristics and stress-strain mode of the rock mass to a certain extent，which weaken the stability of the rock mass locally，which has a significant impact on the safety of the tunnel engineering. It is very necessary to carry out the engineering geological survey of the underground tunnel and the quantitative analysis of the rock mass structure. To get the structural plane information of the underground tunnel accurately and do stability analysis for the surrounding rock of the tunnel，a three-dimensional laser scanner was used to obtain the point cloud data of the surrounding rock structural plane in the 775 m level drift of the Dahongshan iron mine in Yunnan. A series of work such as correction，structure surface data extraction，point cloud splicing，filtering and thinning，etc.，carried out statistical analysis based on the processing results. According to this statistical result，the discrete element software 3DEC is used to establish the discrete structure network model and a coupling model of an underground tunnel，and numerical simulation of the instability probability of the tunnel under its own weight and blasting vibration is carried out. The results show that the 3D laser scanning technology can better obtain the rock mass discontinuities information of the drift，and the discrete block unit calculation software can further analyze the stability of the drift rock block. The self-stabilizing ability of the surrounding rock in the analyzed area is good，but the instability probability increases greatly under the influence of blasting vibration. The research result can provide theoretical guidance for the support design of the tunnel.
The morphology，amounts and location of orebodies in the Sanshandao gold belt，Jiaodong Peninsula are closely related to fault.The orebodies are mostly hosted by the fault parts with the characteristics of gentle or dip changing from gentle to steep.In oder to explore the control effect of fault geometry on gold mineralization，the geological model （e.g.，fault zone，orebodies，wall rocks and cover） of the Sanshandao belt was constructed，and the numerical simulation was carried out by FLAC3D software.The simulation results show that the corners of the Sanshandao fault are prone to accumulate greater shear strain （up to 8% than wall rocks） and volumetric strain （up to 2% than wall rocks） in the striking direction，where occurs an expansion space. This results in the formation of local thick gold orebodies at the corner where with a included acute angle of the fault and the NE-SW principal compressive stress.In terms of the dip direction，the gentle parts where the fault zone changes from steep （dip angle greater than 60°） to gentle （dip angle in 30°~40°） occur the dialation （volume strain：1%~2%），while the steep parts occur the compression characteristics （volume strain：-1%~0）. This differential stress distribution at different dip parts controls the discontinuous and intermittent distribution of orebodies along the dip direction.From a view of 3D，the ore-forming fluids in the Xinli segment，southern part of the Sanshandao belt，migrates from the SE areas at depth to NW at shallow，while the Sanshandao，Xiling，and Beibuhaiyu segments show a trend of flowing from NE to SW.This difference in fluid flow direction may be attributed to the bending fault intersurface formed by the co-operative deformation in strike and dip directions at Xinli controlling the SE dipping of the expansion zone.Therefore，the SE areas at depth in the Xinli segment，and the NE areas at depth in Sanshandao and Xiling segment have the good metallogenic potential.
In order to further verify whether the hydrocarbon-mercury superimposed halo method has universality in deep prospecting prediction，a hydrocarbon-mercury superimposed halo deep prospecting test was carried out in the Wangu gold mining area and its periphery in the northeast section of the Xuefeng arc.By analyzing the evolution of hydrocarbon-mercury components of different geological bodies and different elevations in the known mining areas，and the comprehensive abnormal structure，superimposition chara-cteristics and spatial correspondence of hydrocarbon-mercury in the upper soil of the ore body，the deep prospecting in the peripheral Jiangdong ore section is guided.The results show that the soil geochemical field in the Wangu mining area and its surrounding Jiangdong mining section also has a syngenetic superimposition field and a deep source superimposition field.The syngenetic superimposition anomaly is due to the stratum， and the correlation between Au and hydrocarbon components is poor. Hydrocarbon mercury anomalies are in a dispersed state， with relatively low anomalous intensity.Deep source superposition anomaly is the superposition of ore-forming materials caused by deep source fluids（magma or mantle source），and Au has a good correlation with hydrocarbon mercury.The hydrocarbon mercury anomaly center is prominent and the anomaly intensity is strong.The hydrocarbon anomaly patterns are mainly multimodal and dual bimodal anomaly patterns.Hydrocarbon anomalies appear in multimodal patterns，indicating that there are multiple parallel blind veins in the deep，and the dual in the bimodal abnormal pattern，only the head abnormal peak appears，but the tail abnormal peak has not yet appeared.It shows that the ore body extends well to the deep indicating that the mineralization has not yet ended，and there is still a good prospecting potential in the deep part.Through engineering verification，good prediction results have been obtained in the red bed coverage area of Jiangdong ore section.It is proved that the method has good universality.
In the context of the “double carbon” goals of “carbon peak” and “carbon neutrality”，green，low-carbon，clean and efficient have become new requirements for resource extraction，and it also puts forward a new direction for the research on the complex system of scientific mining.Scientific mining is a mode of mining that uses systematic scientific ideas，takes into account the natural environment and social production，and hopes to mine mineral resources and associated resources in a safe，green，economical，efficient，and low-carbon manner.The issues of scientific mining cover multiple aspects such as safety，technology，environment，society，economy，management，etc.，which are systematic scientific issues and gradually become more complicated.There are complex interrelationships and permeation effects among the various elements of scientific mining，and the mining process has the characteristics of openness，dynamic change，uncertainty，etc..Moreover，scientific mining system contains recognized complex problems such as random problems and nonlinear problems，which has obvious complexity.Research on the complexity of scientific mining issues has become a new idea to expand the connotation and framework of scientific mining.This article expounds the development and evolution of the concept of mineral resource mining，reviews the research status of scientific mining at home and abroad in recent years，and builds a “six-in-one” scientific mining system，including safe，efficient，green，low-carbon，economical，and scientific management.This system enriches the connotation and framework of scientific mining.Furthermore，this article discusses the complex attributes of scientific mining.Inferring from two aspects：The judging criteria of complex scientific problems and the characteristics of the scientific mining system，it is concluded that scientific mining is a complex problem，and the system that carries the complex scientific mining problems is a complex system.Using complex scientific thinking to study the complexity of scientific mining，the complex system model of scientific mining was constructed，and new ways to accelerate the realization of comprehensive scientific mining were considered from the three levels of top-level design，middle-level connection，and bottom-level foundation，provides new development direction and idea for the realization of scientific mining of mineral resources.
As a kind of dynamic instability geological disaster with strong abruptness and randomness，rockburst poses a great threat to the safety of personnel，equipment and buildings.Timely and accurate prediction of rockburst grade has become a hot issue in the field of underground engineering.At present，the amount of real training data of rockburst prediction is small and the data is missing.In order to predict the rockburst grade more accurately，a combined weighting-extremely randomized trees（ET） prediction model based on chain random forest multiple interpolation（MICE_RF） algorithm was proposed.According to the characteristics and causes of rockburst，six evaluation indexes including maximum shear stress，uniaxial compressive strength，uniaxial tensile strength，stress coefficient，brittleness coefficient and elastic energy index were selected to form the rockburst evaluation index，and MICE_RF algorithm was used to interpolate the missing data of rockburst data set.Then，a new combined weighting method was proposed，which is the improved analytic hierarchy process（IAHP）-weight determination method based on index correlation（CRITIC），and the weight of each index was comprehensively calculated by using the concept of weight vector distance. Finally，the ET algorithm was used to construct the rockburst prediction model after interpolation，weighting and normalization.Using the existing engineering example data at home and abroad，20 random sampling tests were carried out，and compared with other models to verify the superiority of this model in rockburst grade prediction.In this study，the interpolation effect based on MICE_RF missing value，the combined weighting effect of IAHP-CRITIC index and the comparison of the prediction effects of different models were analyzed and verified respectively.So，the ET rockburst prediction model based on MICE_RF and improved combined weighting was applied and the result of accuracy，precision，recall and RMSE were 93.10%，94.17%，93.44% and 0.2626.The results show that the MICE_RF missing data interpolation method not only increases the available rockburst data set，but also can effectively improve the prediction accuracy of three levels of no rockburst，intermediate rockburst and strong rockburst，and the average prediction accuracy of the complete data set has also been significantly improved.The improved AHP-CRITIC method has more advantages than the previous one，and the ET algorithm is significantly better than other comparison models in the results of four comparison indexes，that is，IAHP-CRITIC-ET model based on MICE_RF can significantly improve the prediction accuracy of rockburst grade，and the prediction results are more stable，which can provide effective guidance for similar projects.
Rockburst is one of the key problems in underground engineering excavation，in order to accurately predict the grade of rockburst propensity in deep-buried tunnels，a rockburst prediction method based on the normal membership degree-attribute interval recognition model was proposed.Due to the rockburst propensity is a typical multi-attribute orderly segmentation problem，the attribute interval recognition model was constructed to divide the rockburst propensity into four grades for prediction.The occurrence of rockburst is affected by engineering geology，and the geological parameter is usually an interval value.The attribute interval recognition model can be better applied to the problem that each grade index value is an interval value.According to the mechanism of rockburst，the stress coefficient，brittleness coefficient，elastic strain index and rock integrity coefficient were selected as predictive indicators，considering the interaction between the indicators and the standard grade，the normal membership function and Jousselme distance were used to calculate the weight of the index.The method had different weights for the measured values of different indexes under the same index system，which can avoid the drawback that the traditional method didn’t consider the interaction relationship between the indexes，and improve the robustness of the model.The accuracy of the prediction model was tested with 13 deep-buried tunnel projects.Since the value of the averaging coefficient had a greater impact on the prediction accuracy of the model，in order to obtain the optimal value of the averaging coefficient，the step size was 0.1 and selected within the interval ［0.05，0.95］.The analysis shows that when the averaging coefficient is 0.65，the prediction accuracy of the model is the highest，which is 92.31%.The left bank of SPD9 in the Huangjiangkou hydropower project was used to verify the model.The prediction results are consistent with the actual rockburst propensity grade.The prediction results prove that the model is feasible and effective in specific engineering practice，and it can provide new ideas for predicting the rockburst propensity grade in similar deep-buried tunnels.
Due to the complex nature of rock mass and the different transfer modes of explosive energy，it is difficult to control the blasting process and blasting effect.After blasting，the damage of rock mass around blast holes is related to the bearing capacity and stability of the project.In order to explore the influence of blast hole spacing and additional free surface on the blasting process and effect during double-hole blasting，a double-hole blasting model was established based on RHT （Riedel Hiermaier Thoma） damage constitutive model by using LS-DYNA finite element software to simulate rock blasting damage under different working conditions.The experiment of previous scholars was repeated by numerical simulation，and the test results were compared with the numerical simulation results in this paper to verify the feasibility of the numerical simulation method and the rationality of the selection of material parameters.Through the comparative analysis between numerical simulation results and blasting experimental results，it is determined that the rock blasting damage threshold applicable to this paper is 0.5 based on the blasting mechanism，and the rock damage value greater than 0.5，which is called the effective damage of rock.The effective damage rate of rock is defined as the proportion of the effective damage range of rock in the plane damage cloud map to the total plane area.The change of effective damage rate of rock is used to intuitively show the temporal and spatial evolution law of rock damage in the blasting process.The rock damage nephograms at different times were intercepted to observe the damage in different directions of the rock after blasting.The damage nephograms were processed by LS-PrePost to obtain the distribution range of effective damage on the plane.Then，the MATLAB program was used to calculate the effective damage rate，and the numerical calculation and analysis were carried out.The results show that the effective damage rate of rock decreases with the increase of blast hole spacing，and the effective damage rate at the same section is the largest in the scheme with the smallest blast hole spacing.The superposition effect of blasting energy between adjacent blastholes decreases with the increase of blast hole spacing，and a more ideal blasting effect can be obtained with an appropriate blast hole spacing.The effective damage rate of rock decreases gradually with the increase of the distance between the free surface and the center of the blast hole，and the blasting energy tends to propagate to the free surface.The influence of additional free surface on the distribution of blasting energy decreases with the increase of the distance between the free surface and the blast hole.
Acoustic emission source location plays an important role in the continuous dynamic safety monitoring of complex structures which contain empty zones. The straight path-based location method can’t be applied in a complex structure， and the existing Dijkstra search algorithm can obtain optimal local paths. This study improves the calculation method of the distance between two points： if the line determined by two points does not intersect the obstacle， the straight line distance between the two points is the reachable distance of two points， and the other ways are recorded as infinity.To solve this problem， an acoustic emission location method based on improved interaction distance and Dijkstra algorithm was proposed in this study. It uses the double-difference method to establish the positioning objective function and the mesh method to calculate the fitting error of the positioning objective function of each grid point， and takes the corresponding point of the minimum fit error as the positioning result， which to achieve a high-precision acoustic emission location in a complex structure. Tests were carried out with complex structures with rectangles， triangles， and circles and structures with single round holes. The results indicate that the P wave propagation path obtained by the Dijkstra algorithm with improved interaction distance is less than or equal to that obtained by the traditional Dijkstra algorithm. And the P wave propagation path containing the round pore structure is very close to the theoretical propagation distance. In other words， the P wave travel time based on improved interaction distance is more reliable. After adding 3us Gaussian noise to the theory， the positioning error of the conventional method reached 1.5cm， but the location method proposed in this study has an overall location error within 0.50 cm for complex structures. It shows that the proposed method has good robustness. Further， the lead-breaking experiment was carried out on the rectangular （30 cm×20 cm） granite sample containing a round hole （D=2.5 cm）. After the double-difference method was used to remove the P wave initial to systematic error， the positioning error of the conventional method was mainly 0.5 to 1.5 cm， and the overall error of the positioning method in this paper was within the range of 0.50 cm， and the average positioning error for the lead breaking events from 0.95 cm of traditional Dijkstra algorithm to 0.54 cm for PLB events， which indicates that the proposed method has a good application prospect for complex structures.
Roadway support work is very important to ensure the safety and sustainable development of enterprise production，reasonable support can not only ensure the stability of the roadway to the greatest extent，but also greatly save the cost of support.Especially in recent years，with the increase of mining depth，there is a high stress environment caused by excavation unloading and mining impact the deep roadway，which greatly increases the probability of safety hazards such as roof caving，gangstay or even collapse，so it is more necessary to optimize governance and time-effective support.In order to solve the serious catastrophic damage of the surrounding rock and the near failure of the supporting structure in the deep roadway of a gold mine， the excavation damage of deep roadway under the coupling effect of excavation and mining unloading was studied，and the deformation control scheme of surrounding rock was proposed.FLAC3D was used to conduct an in-depth discussion on the support effect of the supporting scheme from three aspects of stress concentration-migration evolution，displacement field and plastic zone distribution characteristics，and the real-time in-situ data obtained from field engineering experiment monitoring were analyzed and compared.The results show that under the disturbance of excavation in the deep fractured roadway，the plastic zone is obviously expanded，the stress con-centration degree at both shoulders and the bottom corner of the side wall is high，the fracture damage pressure on the floor is the largest，and the high stress migrates to the deep part of the roadway.Finally，the influence of roadway excavation stays at about 2~4 times the radius.At the same time，according to the measured data，the stress of the surrounding rock of the roadway increases continuously during the unloading disturbance process of the roadway excavation，which indicates that the excavation disturbance in the adjacent stope will have a grea-ter impact on the stability of the roadway.Before and after the support is applied，the average growth rate of the roadway surrounding rock stress decreases from 0.096 to 0.008.At this time，as the amount of ore continues to increase，the stress in the surrounding rock remains relatively stable.It is verified that the surrounding rock control scheme of shotcrete-anchor-net combined support instead of the traditional U-shaped steel frame and bolt support as reinforcement support for this engineering environment can better play the fragmented surrounding rock.The self-bearing capacity of the roadway effectively resists the deformation and damage of the roadway，and has a very good supporting effect.It can provide reasonable suggestions for the design of surrounding rock deformation and support for deep mine roadways with similar engineering environments.
The stability and rock long-term strength of underground rock mass engineering are closely related to the rock creep characteristics.With the deepening of resource exploitation，there are many mining rock mass large deformation and strong rheology problems.Therefore，the research of rock creep，especially the creep model under high stress condition，has great engineering significance and research value. Creep tests on moderately weathered argillous siltstone under graded uniaxial loading was carried out.The rock samples were machined into cylinders with dimensions of ?50 mm×100 mm.The stress loading level was 6~20 MPa，the stress increment was determined to be 2 MPa for each stage，and the stress remained constant for 72 h for each stage.The research shows that most of the creep deformation of moderately weathered argillaceous siltstone occurs at the moment of loading.When the creep stress is less than 12 MPa，the rock creep shows decelerating creep phase and even creep phase.When the creep stress is greater than 14 MPa，the rock creep shows decelerating creep phase，even creep phase and accelerating creep phase.The rock long-term strength obtained by using the given creep rate threshold method is 14.3 MPa.In order to describe the nonlinear creep characteristics of rock，a nonlinear viscoplastic element related to time and stress level was introduced.By connecting the nonlinear viscoplastic with a generalized Kelvin component and a viscous component with a switch，an improved nonlinear viscoelastic-plastic creep model was obtained，and the constitutive equation and creep equation of the improved viscoelastic-plastic creep model were given.The Levenberg-Marquardt nonlinear least square method of Origin platform was used to invert the creep model mechanical parameters.By comparing the generalized Kelvin creep model，Burgers creep model，improved viscoelastic-plastic creep model with the test results，obtain the applicable characteristic of each model.The generalized Kelvin creep model is suitable for describing the rock instantaneous deformation and decelerating creep phase at low stress level，and the Burgers creep model can describe the rock instantaneous deformation，decelerating creep and even creep phase very well.It is concluded that the improved viscoelastic-plastic creep model is suitable for middle-weathered argillaceous siltstone，which explains the nonlinear creep mechanical properties of mudstone formation well.The research results provide important guidance for further revealing the rock rheological properties and building rock creep model.
At present，driverless mining truck is gradually applied in the production of open-pit mine，however，the road structure of open-pit mine is complex，and the mining truck is prone to collision in driving due to the conflicting driving trajectories and perception limitations，and the existing sensor-based perception obstacle avoidance methods are prone to decisions such as emergency braking and emergency stopping and decelerating and stopping before starting，which not only cause tire wear and fuel waste，but also seriously affect the passing efficiency.In order to solve the above problems，based on the prominent features of the open-pit mine passage scene such as single traffic background，planning，organization and closure，and the advantage that driverless mine cards can accurately execute the planning speed，a mining card full passage speed optimization and collaborative planning method based on time distance constraint dissipation workshop conflict and planning speed based on adaptive trapezoidal speed planning method was proposed.The method first abstractly models the road network scenario based on road information and specifies the corresponding maximum speed limit according to the actual situation of different road sections.The second step is to combine the information of the traveling mine cards in the road network to detect the conflict between mine cards at each node in the target mine card traveling path.The third step is to add time distance constraint to each node to dissipate the conflict between mining cards according to the type of conflict between mining cards，and finally to use adaptive trapezoidal speed planning method to generate the whole collaborative passing speed scheme for the target mining card.The experiments use the traditional stop-and-go obstacle avoidance algorithm as a comparison，and the results show that the method can dissipate the conflicts between mining cards and maintain the safe distance between the front and rear vehicles without affecting the normal passage of other moving mining cards，and improve the smoothness of the speed of the target mining card in driving，while reducing the passage time by 21% compared with the traditional stop-and-go obstacle avoidance algorithm.
With the rapid development of gold mining technology in China，the number，scale and output of gold mines are increasing day by day，but the ore grade is constantly decreasing.At the same time，with the increase of mining intensity of gold mines，the number of tailings produced also increases dramatically.However，gold tailings are valuable secondary resources with fine particle size，large resource quantity，low price and no need for mining，crushing and grinding operations，which has a high possibility of comprehensive utilization.With the improvement of ore dressing technology and the shortage of gold resources，the gold tailings has a higher recovery value.Southwest Guizhou is one of the main production areas of carlin-type gold deposits in China，which has been mined for several decades.With the mining of gold deposits，a large number of tailing resources have been produced.The gold deposits in southwest Guizhou are mainly accumulated in Zhenfeng-Qinglong-Anlong area.The gold content and occurrence state of five typical gold tailings reservoirs in this area were investigated，and the total amount of gold in the area was estimated by using the geological block method.The results show that most of the gold in the tailings is in the state of gold wrapped in quartz in the fine pyrite，and the potential pile stock of Lannigou carbon leaching gold mine tailings is about 1.2 million tons，the content of Au in the carbon leaching tailings is as high as 2.52×10-6~3.82×10-6，with an average of 3.13×10-6，far higher than the industrial grade of primary gold deposit，the estimated amount of gold metal is 3.75 t.The potential resource of the tailings （slag） of Shuiyindong gold mine is about 4.2 million tons，the gold content is 1.67×10-6，and the estimated Au metal content is 7.01 t.Both of these two tailings resource have the potential of secondary gold extraction.The soil，plants and water quality around the two tailings reservoirs of Zima and Laowanchang were analyzed.It is found that Cd，Hg and As in the samples exceeded the standard seriously，which is harmful to the environment.Therefore，the disposal of gold tailings has become the primary problem to protect the local environment.For these gold tailings that do not reach the industrial grade，they can generally be used in reclamation planting，mining filling or processing into building materials.At present，it has been studied by many scholars at home and abroad，and its application prospect is very broad.
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