To address the problem of excessive accumulation of iron acid in bio-heap leaching of high-sulfur and low-copper ore, the regulation and mechanism of leaching of high sulfur and low copper ores by limestone were studied by bio-column leaching method and MLA detection and analysis method. The results show that the pH and Eh of the leaching solution can be significantly regulated by adding limestone with mass fraction of 2% and particle size of -10 mm+5 mm to 1.4 t ore. After 7 months of biological column leaching, the copper leaching rate can reach 71.25%, which is 52.83% higher than that of the control group without adding limestone. The distribution size of pyrite in the leaching slag of limestone addition group increases, and no xanax passivation layer is found, and the dissociation degree of fine copper minerals is positively correlated with the leaching rate. The addition of limestone can effectively enhance the copper leaching efficiency in high-sulfur and low-copper ore and reduce the burden of acid-iron wastewater treatment, which is of great significance for the sustainable development of sulfide ore mining operations.

A new ionic liquid loaded resin with high selectivity for phosphate ions was synthesized and used to enrich phosphoric acid in wet process phosphoric acid. The effects of phosphoric acid mass concentration, adsorption time and temperature on phosphoric acid adsorption were investigated. The results show that the adsorption capacity of phosphoric acid can be increased to 307 mg/g under optimized adsorption conditions. The resin can effectively avoid the influence of many cations in apatite leaching solution, significantly improve the purity of wet-process phosphoric acid, and has certain environmental protection and economic benefits.

To address the problems such as insufficient real-time data analysis, lack of intelligent decision-making support, and limited dynamic optimization capabilities of in-situ leaching dynamic mining system in practical application, the advantages of integrating Digital Twin technology with the in-situ leaching process for uranium extraction were analyzed. By incorporating advanced technologies such as muon imaging, fiber-optic water level monitoring, advanced sensing technologies, artificial intelligence, and big data analysis, an efficient digital-intelligent uranium mining platform was constructed. The platform includes geological structure model, groundwater seepage model, reactive transport model, and intelligent agent model. The core algorithms cover deep learning, data assimilation, multi-objective optimization, and uncertainty analysis. The establishment of the dynamic in-situ leaching mining system can improve the efficiency of uranium resource development and can provide valuable reference for the extraction of other mineral resources, thus having certain theoretical significance and practical value.

The extraction of zinc by P204(Di-(2-ethylhexyl) phosphate) from sulfuric acid leaching purification liquid of flotation lead tailings was studied. The extraction and stripping conditions were optimized. ZnSO₄•7H₂O was prepared by evaporation and crystallization of zinc-rich liquid. The results show that under the conditions of organic phase composition of 50%P204+50%sulfonated kerosene, saponification degree of P204 of 65%, extract pH of 3.5, extraction phase ratio V_A/V_O=1/1, extraction time of 10 min and two stages of extraction, the extraction rate of zinc can reach 99.11%. Under the conditions of H₂SO₄ concentration of 7%, stripping phase ratio V_O/V_A=2/1, stripping time of 10 min and three stages of stripping, the stripping rate of zinc can reach 99.32%. The prepared ZnSO₄•7H₂O Can meet the requirements of HG/T 2326—2015, and its microstructure is uniformly distributed in granular and layered structures.

In order to solve the issue of low automation in the hydrometallurgical process in in-situ leaching of uranium, especially in the preparation of yellowcake from precipitation slurry using plate and frame filter presses, a horizontal belt vacuum filter was selected for the first time in an in-situ leaching of uranium mine to conduct a filtration dewatering experiment on sodium diuranate precipitation slurry. The influence of different operating conditions on moisture content of yellow cake products was investigated. The results show that under the conditions of a filtration vacuum of -0.06~-0.08 MPa, a filter cloth precision of 38 μm, a slurry residence time of 640 s, a feed flow rate of 353~589 kg/h, and a backwash and sealing circulation water flowrate of 10 m³/h, the entire process from cloth feeding to filtration, dewatering, cake discharge, and cloth backwashing can be automatically cycled and run continuously and stably. The product moisture content meets the first-grade standard, satisfying the dewatering capacity requirements for a mine producing about 500 t of metallic uranium per year. The technical feasibility of using belt vacuum filter to dehydrate the precipitated slurry has been preliminatively confirmed. The technical feasibility of using belt vacuum filter for dewatering the precipitation slurry has been preliminatively confirmed. The filtration dewatering process can reduce the labor intensity of operators, reduce the radiation hazard, and improve the automation of the entire hydrometallurgy process, it has value for promotion and application.

Extracting vanadium from stone coal vanadium ore with sericite as the main material and vanadium in the form of isomorphic vanadium by barium salt roasting—acid leaching was studied. The effects of grinding fineness, dosage of barite, roasting temperature, roasting time, liquid volume to solid mass ratio, sulfuric acid dosage, leaching temperature and leaching time on vanadium leaching rate were investigated. The results show that the vanadium leaching rate can reach 89% under the conditions of grinding fineness of -200 meshes of 70%, barite content of 5%, roasting temperature of 850 ℃, roasting time of 16 h, liquid volume to solid mass ratio of 2.0, sulfuric acid dosage of 8%, leaching temperature of 25 ℃ and leaching time of 2 h. The leaching effect is good.

Lead leaching residue of acid mud contains a large number of complex and scattered precious metals, which has high recovery value. The leaching of selenium, bismuth, copper and mercury from lead leaching residue using a mixture of hydrochloric acid and sulfuric acid as the leaching agent and sodium chlorate as the oxidizing agent was studied. The effects of temperature, dosage of sodium chlorate, leaching time, liquid volume to solid mass ratio and hydrochloric acid concentration on the leaching rates of selenium, bismuth, copper and mercury were investigated. The results show that under the conditions of temperature of 40 ℃, dosage of sodium chlorate as 40% of raw material mass, leaching time of 1 h, liquid volume to solid mass ratio of 4 mL/1 g, hydrochloric acid concentration of 1 mol/L and sulfuric acid concentration of 1.5 mol/L, the leaching rates of selenium, bismuth, copper and mercury are 98.78%, 98.13%, 99.38% and 99.42%, respectively. The method can achieve high efficiency leaching of selenium, bismuth, copper and mercury, and enrich the tin, lead and silver in the residue.

In order to further improve the recovery rate of hydrometallurgical resources and solve the problem that the intelligent and automatic control degree of resource recovery process control is not high, a hydrometallurgical process control method is proposed, which uses Transformer model to predict metal leaching rate and then uses Distributional Q-function to improve DQN model to maximize gold leaching rate. The results show that the system control method can effectively improve the prediction accuracy of metal leaching rate in hydrometallurgy process. Improving the DQN model based on Distributional Q-function can effectively reduce the iterative calculation time of the model with maximum resource recovery rate. The method can effectively improve the recovery rate of hydrometallurgical resources in a certain plant.

The challenge of achieving profound separation between rare earth elements(REEs) and non-rare earth impurities during the purification process via extractive resin adsorption has consistently posed a formidable obstacle. The static method was employed to analyze the adsorption behavior of La³⁺ and Zn²⁺ ions onto CL-P507 resin. The influences of adsorption duration, solution pH, and temperature on the adsorption efficiency of La³⁺ and Zn²⁺ by the resin were investigated. The adsorption kinetics and thermodynamics of La³⁺ and Zn²⁺ were analyzed. Additionally, the separation and migration mechanisms of La³⁺ and Zn²⁺ during the adsorption process was discussed. The results indicate that H⁺ participates in the reaction involving the phosphoric acid functional group of CL-P507 resin. At a feed liquid pH of 4.0, the adsorption equilibrium values for La³⁺ and Zn²⁺ are achieved at 0.098 9 mmol/g and 0.153 4 mmol/g, respectively within 8 min and 15 min. The adsorption of La³⁺ and Zn²⁺ onto CL-P507 resin is an endothermic process adhering to the Langmuir isothermal model and quasi-second-order kinetics, with chemical reactions governing the process. The findings offer theoretical insights into the efficient separation of rare earths from non-rare earth impurities.

A hydrangea-like γ-AlOOH adsorbent with a layered structure was prepared by hydrothermal method using sodium aluminate solution obtained from acid leaching of red mud as raw material and used for the adsorption of Congo red. The effects of initial pH and initial mass concentration of Congo red on the adsorption were investigated, and the adsorption mechanism of γ-AlOOH on Congo red was discussed. The results show that the saturated adsorption amount of Congo red can reach 1 748.15 mg/g under suitable conditions. The adsorption process is more appropriately described by the quasi-second-order kinetic model and the Langmuir isothermal adsorption model, and the adsorption behaviours are mainly dominated by monolayer adsorption. The adsorption process is spontaneous, heat-absorbing and chaotic with an increasing degree of confusion. The process can provide an effective solution to solve the problem of Congo red pollution and red mud accumulation in the water body, which is in line with the green development concept of treating waste with waste and turning waste into treasure, and has certain value of popularisation and application.