774 results about "Heavy metals pollution" patented technology

The invention discloses a field soil heavy metal pollution health risk dynamic assessment and intelligent early warning system, and relates to the technical field of soil environment monitoring. The system comprises a multi-source data acquisition unit, a data preprocessing unit, a risk calculation engine and a visual interaction terminal. The key technical point is that a dynamic field evolution analysis module and an adaptive grid rendering control module are introduced; the dynamic field evolution analysis module constructs a pollution potential energy field matrix representing a pollutant migration trend based on soil heavy metal concentration and hydrogeological parameters, and calculates a space-time gradient change vector of the pollution potential energy field matrix; and the latter dynamically adjusts the grid local density according to the gradient vector module value, and automatically encrypts the computational nodes in the region with severe risk change. In cooperation with a time sequence prediction deduction and feedback correction mechanism, the method can simulate the dynamic evolution of the pollution plume in the porous medium in real time, solves the problems that a migration rule is difficult to capture and the calculation efficiency of a uniform grid is low in traditional static evaluation, and achieves three-dimensional dynamic risk early warning with high precision and low calculation power consumption.

The invention provides a chemical restoration method for treating heavy metal-polluted terrain soil by ferromagnetic artificial nucleuses. In a ferromagnetic artificial nucleus soil restoration method, the ferromagnetic artificial nucleuses are applied to heavy metal-polluted soil; soil above a heavy metal pollution depth is overturned by cultivation equipment to uniformly mix with the ferromagnetic artificial nucleuses; and after heavy metal can be dispersed from the soil to the artificial nucleuses by a period of time, the soil containing the artificial nucleuses is overturned by using the cultivation equipment to increase the change of the artificial nucleuses contacting with other soil. After the soil overturning procedure is repeated by multiple times, the cultivation equipment provided with magnets can be used for separating the ferromagnetic artificial nucleuses, absorbed with the heavy metal, from the polluted soil; and the content of the heavy metal of the polluted soil is reduced due to shifting-out of the ferromagnetic artificial nucleuses, so that the purpose of soil restoration is gradually achieved.

The invention discloses a drainage basin water body heavy metal pollution prediction system based on multi-modal attention, and the system comprises a data collection module which is used for collecting multi-modal data related to drainage basin water body heavy metal pollution, and a preprocessing module which is used for carrying out the standardization processing of the obtained multi-modal data. The multi-modal attention fusion module is used for performing feature extraction and cross-modal interaction on the preprocessed multi-modal data to generate fusion features; the dynamic prediction module is used for outputting a spatial-temporal distribution prediction result of the heavy metal pollutant concentration in the drainage basin by constructing a spatial-temporal coupled prediction model; according to the method, the cross-modal interaction accuracy is improved by dynamically focusing the key association information of the multi-modal data through the intra-modal and inter-modal attention mechanism, meanwhile, the data-driven prediction model is constructed, the prediction precision of the high-risk area is optimized through the weighted loss function, the prediction error is effectively reduced, and the prediction efficiency is improved. And high-precision dynamic prediction of heavy metal pollution under the watershed scale is realized.

The invention relates to the technical field of soil heavy metal pollution detection, and discloses a soil heavy metal pollution detection method and system, and the method comprises the steps: collecting an original signal containing a target heavy metal characteristic signal and a plurality of auxiliary background signals; preprocessing the original signal to obtain a preprocessed multi-dimensional signal; analyzing the multi-dimensional signal to identify interference characteristics of the target heavy metal characteristic signal and the auxiliary background signal; according to the interference characteristics of the auxiliary background signal, evaluating the composition and intensity of background interference, and according to the composition and intensity of the background interference, separating a pure signal of the target heavy metal from the background by using a nonlinear compensation algorithm; the target heavy metal pure signal is converted into the concentration value of the target heavy metal, chemical digestion is not needed, complex background interference can be effectively recognized and compensated for for soil heavy metal pollution detection, the accuracy and reliability of field detection are remarkably improved, and errors caused by inaccurate reagent degradation and background deduction in a traditional method are overcome.

The invention provides a biochar composite porous material for heavy metal contaminated soil remediation and a preparation method and application of the biochar composite porous material. The preparation method comprises the steps that biomass raw materials are subjected to high-temperature pyrolysis carbonization and then smashed, ground and sieved, and biochar powder is obtained; dispersing in a phosphoric acid solution to obtain a biochar solution, and filtering, washing and drying after a hydrothermal activation reaction to obtain activated biochar; dispersing in a chitosan solution, carrying out ultrasonic oscillation, filtering, washing and drying to obtain modified charcoal; mixing sodium bentonite, attapulgite and deionized water, uniformly mixing the modified charcoal, the functional slurry and a sodium carboxymethyl cellulose solution to obtain composite slurry, performing compression molding to obtain a green body, and then drying and calcining the green body. The biochar composite porous material prepared by the invention can simultaneously play multiple roles of physical adsorption, chemical chelation, ion exchange and the like in a heavy metal contaminated soil treatment process, so that efficient fixation of various heavy metal ions is realized.

The invention discloses an unconventional feed quality assessment method and system, and relates to the technical field of unconventional feed quality assessment, and the method comprises the following steps: in a feed high-temperature drying treatment process, establishing a multi-dimensional sensing monitoring baseline, continuously obtaining mercury vapor concentration gradient, moisture evaporation rate and airflow velocity field data in a feed drying environment, and calculating the quality of the feed; forming a time sequence feature set reflecting the dynamic change of mercury vaporization; and constructing a gas-solid interaction analytical model by using the time sequence feature set, and carrying out coupling analysis on the mercury vapor migration trajectory and the temperature distribution and humidity distribution of the feed particle surface to generate a spatial distribution data set representing the spatial distribution feature of the mercury vapor redeposition region. According to the invention, the whole-process monitoring and dynamic regulation and control of mercury vaporization, migration and redeposition in the feed drying process are realized, through multi-dimensional monitoring, amplitude limiting control and high-frequency disturbance, the mercury distribution is balanced, the risk is reduced, the drying safety and the feed quality stability are improved, and the controllable management of heavy metal pollution is effectively realized.

The invention relates to the technical field of soil remediation, in particular to a charcoal-fungus symbiont for a freeze-thaw environment and a preparation method and application of the charcoal-fungus symbiont. The preparation method of the charcoal-fungus symbiont comprises the following steps: crushing a biomass raw material, and carrying out pyrolysis to prepare basic charcoal; placing the basic biochar in an iron oxide solution, and carrying out an iron oxide loading reaction to obtain iron oxide biochar; the preparation method comprises the following steps: dipping iron oxide biochar in a chitosan solution for coating modification, then continuously adding a cross-linking agent for cross-linking solidification, and freeze-drying to obtain chitosan-iron oxide composite modified biochar; and immersing the chitosan-iron oxide composite modified biochar into a bacterial suspension of functional microorganisms, oscillating and adsorbing, and freeze-drying to obtain the carbon-bacteria symbiont. The invention aims to improve the heavy metal pollution phenomenon of soil and the soybean root rot disaster in the freezing and thawing cycle environment at the same time.

The invention discloses a method and system for evaluating the influence of long-term fertilization on rice field soil heavy metals, and the method comprises the steps: obtaining rice field soil data through a sensor, and obtaining a standardized soil physicochemical property data set and a heavy metal content data set; according to the standardized soil physicochemical property data set and the heavy metal content data set, obtaining a feature vector set reflecting correlation between soil physicochemical properties and heavy metal behaviors; aiming at the feature vector set, obtaining a prediction model for representing the influence of the fertilization mode on the heavy metal mobility; if the heavy metal effective state content output by the prediction model exceeds a preset bioavailability threshold value, classifying the soil physicochemical property data set, judging the influence weight of the soil pH value and the organic matter content on the cadmium mobility, and obtaining the classified soil environment risk grade; and according to the classified soil environment risk levels, obtaining comprehensive rice field soil heavy metal pollution evaluation indexes. The pertinence and effectiveness of pollution control are remarkably improved.

The invention belongs to the technical field of biological mineral fertilizers, and particularly relates to a microbial liquid complex microbial inoculant with coal gangue activation and heavy metal treatment functions and a biological mineral fertilizer. The microbial liquid complex microbial inoculant is prepared from the following functional strains by using electrochemical low-Hertz water through sequential inoculation and fermentation in three stages: repair bacteria pseudomonas putida, nitrogen-fixing bacteria azotobacter chroococcum, growth-promoting bacteria azotobacter braziliensis, phosphate solubilizing bacteria pseudomonas fluorescens, biocontrol bacteria bacillus subtilis and potassium bacteria bacillus mucilaginosus. The silicolytic bacteria are bacillus megatherium; and the synergistic bacteria are trichoderma asperellum. The biological mineral fertilizer is prepared by using the microbial liquid complex microbial inoculant and using coal gangue powder as a main raw material. The scientific compatibility of different strains provided by the invention realizes the efficient improvement of the heavy metal polluted land and the yield increase of crops, changes the coal gangue into valuables, solves the problem of pollution caused by the accumulation of a large amount of coal gangue, and has important economic and social values.

The invention discloses heavy metal resistant bacillus velezensis as well as a microbial remediation agent and application thereof. Bacillus velezensis DBS01 is screened from heavy metal contaminated soil in Dabaoshan mining areas in Shaoguan City, Guangdong province, is preserved in China Center for Type Culture Collection (CCTCC), has a preservation number of CCTCC M 20252228, not only has resistance to various heavy metals, but also can metabolize and secrete metabolites such as organic acid, cellulase and growth hormone in different growth stages, and can be used for preventing and treating various heavy metals. Multiple functions of curing heavy metals, dissolving phosphorus and potassium, promoting plant growth and the like are realized. According to the method, bacillus velezensis DBS01 is inoculated into a culture medium containing straw, calcium superphosphate, agar and sodium alginate are added, and a mixture containing the bacillus velezensis DBS01 is freeze-dried, so that the heavy metal contaminated soil in the mining area can be efficiently repaired in an environment-friendly manner at low cost, and the ecological function recovery of the soil is effectively promoted.

The invention relates to the technical field of environment monitoring, in particular to a soil heavy metal pollution intelligent identification and dynamic early warning system and method, and the system comprises a data collection and preprocessing module which is used for obtaining multi-source satellite hyperspectral data of a to-be-detected region, carrying out the data preprocessing and data fusion of the data, and obtaining the surface reflectance data of the to-be-detected region; the spectral feature enhancement and extraction module is used for carrying out soil pixel purification and spectral feature enhancement on the surface reflectance data and extracting sensitive spectral features; the data analysis and inversion module is used for inputting the sensitive spectral characteristics into a preset intelligent inversion and early warning model library to obtain a soil heavy metal pollution grade identification result and a quantitative concentration inversion result; and the dynamic early warning module is used for carrying out time-space diffusion trend analysis and dynamic risk assessment on soil heavy metal pollution and generating a risk early warning report. The soil heavy metal pollution monitoring method is low in cost, high in efficiency and wide in range, and a soil heavy metal pollution monitoring solution of business operation can be realized.

The invention provides an agricultural land heavy metal pollutant pollution tracing method and system, and relates to the technical field of data processing method.The agricultural land heavy metal pollutant pollution tracing method comprises the steps that multi-source heterogeneous environment data of an agricultural land to be traced is acquired; constructing a heterogeneous graph; inputting node features of each node in the heterogeneous graph and edge indexes and edge attributes of each connection edge into a plurality of trained graph attention network models to obtain edge contribution vectors; polymerizing the plurality of edge contribution vectors to obtain the final contribution of each heavy metal pollutant; and heavy metal pollutant pollution tracing is carried out. According to the scheme, the heterogeneous graph containing the receptor nodes and the pollution source nodes is constructed, the multi-source heterogeneous environment data is mapped into the node features and the edge attributes, explicit structured expression of the pollution source-receptor relation is achieved, the model can learn the complex nonlinear mapping relation of pollution contributions end to end, and the method has the advantages of being high in practicability and easy to popularize. And the spatial accuracy and the chemical rationality of the traceability result can be improved.

The invention relates to the technical field of heavy metal contaminated soil remediation, in particular to a plant-microorganism-passivator synergistic remediation method for a heavy metal contaminated farmland, which comprises the following steps: step 1, constructing a soil digital twinborn model; step 2, intelligent decision making and verification of a collaborative restoration scheme; 3, soil pretreatment before remediation; step 4, hierarchical collaborative restoration and dynamic regulation and control; 5, performing long-term verification on the repair effect and performing model iteration; physical heat treatment is used as strengthening pretreatment, the occurrence form of heavy metal is changed through high temperature, biomass charcoal is generated in situ, passivation immobilization-microbial strengthening-plant extraction three-stage collaborative operation is carried out according to the time sequence, pollutants are rapidly locked through a passivating agent, rhizosphere immobilization is strengthened through functional microorganisms, plant growth is promoted, and the quality of plants is improved. And the hyperaccumulator finally removes the heavy metals from the soil, so that the unification of short-term control and long-term reduction is realized.

The invention relates to the technical field of related drugs for nerve injury caused by heavy metal pollution, in particular to application of a compound for inhibiting phosphorylation of ARMC10 in preparation of drugs for antagonizing tin-induced nervous system injury. Exposure of trimethyltin chloride induces nerve cell mitochondrial dysfunction, and the key mechanism is ARMC10 serine 43 site abnormal phosphorylation. Phosphorylated protein causes excessive mitochondrial fission, membrane potential collapse and energy metabolism disorder, resulting in neuron damage. Based on the target spot, a compound for antagonizing tin-induced nervous system injury is obtained through screening, protein phosphorylation can be specifically inhibited, mitochondrial dynamic unbalance and dysfunction induced by trimethyltin chloride are effectively reversed, and neurotoxicity is relieved. According to the technical scheme, the technical problem that in the prior art, no medicine for effectively antagonizing tin-induced nervous system injury exists can be solved, and the compound has the application potential for treating the nervous system injury and cognitive impairment caused by tin exposure.

The invention discloses a farmland heavy metal pollution monitoring system, and relates to the field of heavy metal detection, and the system comprises a creation module which is used for uploading the structure information of an area where a farmland is located, and creating a farmland twinborn model based on the structure information of the area where the farmland is located; the logic module is used for generating heavy metal sensor deployment logic according to the farmland twinborn model; according to the method, the farmland twinborn model is constructed and calibrated according to the farmland and the structure information of the area, the high matching degree of the model and the actual farmland is guaranteed, an accurate foundation is laid for monitoring, the areas are equally divided according to the topographic features of the twinborn model, the heavy metal sensors are differentially deployed, the lower the position is, the higher the density is, and comprehensive and targeted monitoring of each area of the farmland is realized.

The invention belongs to the field of pollution traceability, and particularly relates to a karst landform soil and groundwater collaborative heavy metal pollution traceability method, which comprises the steps of end member site selection, groundwater monitoring point arrangement, collection and measurement of feature identification of each end member and multi-end member hybrid modeling. According to the scheme, the number of karst funnels is counted through neural network segmentation, high, medium and low density areas are divided, intelligent partition extraction of end members is achieved through a random forest model, monitoring points are arranged in the flow direction in a layered mode in combination with funnel distribution and an aquifer structure, and the problems that the pollution diffusion rule is difficult to capture and pollution source positioning is fuzzy under heterogeneity are solved; a three-dimensional monitoring network of soil, water quality and geology is constructed, a Bayesian mixture model is combined with an isotope fractionation effect to quantify an end member contribution proportion, the defect that traditional monitoring and modeling are not adaptive to karst heterogeneity is compensated, and pollution spatial and temporal distribution and migration paths are captured; unification of accurate simulation of the pollution diffusion rule and quantification of the end member contribution proportion is realized.

The invention discloses a sponge city seepage and drainage structure and a sponge city water circulation system, and relates to the technical field of sponge city construction. A capillary air flotation grading pretreatment unit, a rhizosphere electro-catalysis layer and a mineral conversion filler layer are sequentially arranged below the permeable pavement layer in the rainwater permeation direction, and the drainage layer is a piezoelectric drainage layer; according to the method, blockages are subjected to capillary air flotation classification, minerals are converted into purification carriers, solid waste outward transportation is avoided, and heavy metal pollution is prevented; the water circulation end depends on photovoltaics, an external power grid is not needed, and carbon is reduced; sensor linkage adapts to a purification mode of high / low-pollution rainwater, and a straw self-cleaning function at the seepage and drainage end is prevented from being interrupted; the magnetic sensitive medium is prepared by converting blockages, outsourcing is avoided, and the cost is reduced; the ultrafine particles in the by-products assist in purification, the uleucite is used for preparing the pervious concrete, and the zeolite is used for improving the soil, so that environmental protection and resource regeneration are realized.

The invention belongs to the technical field of environment monitoring and big data analysis, and particularly relates to a river and lake sediment heavy metal monitoring and early warning method and system based on big data, and the method comprises the steps: obtaining multi-source heterogeneous monitoring data of a target river and lake region; inputting the environmental parameter data into a pre-trained sedimentary environment classification model, and identifying a bottom mud high-probability sedimentary section in the target river and lake area; for a high-probability deposition section, analyzing time sequence heavy metal concentration data to calculate time accumulation trend intensity, and screening out key accumulation point locations; performing spatial density clustering on the key accumulation point locations to form a heavy metal high-density accumulation core area; the stability of the high-density accumulation core area is evaluated by comparing historical and current time accumulation trend intensities of the high-density accumulation core area, so that a stable high-risk accumulation area is determined; generating a comprehensive accumulation rule map based on the spatial data of the stable high-risk accumulation area; according to the invention, dynamic, accurate and prospective early warning of the heavy metal pollution risk of the river and lake bottom mud can be realized.

The invention relates to the technical field of heavy metal pollution treatment, and particularly discloses a biochar material and method for adsorbing heavy metals in wormcast. The biochar material for adsorbing the heavy metals in the wormcast adopts waste green tea residues as a raw material, and after being soaked in a phosphoric acid solution with the mass concentration of 38-42%, the biochar material is subjected to heat treatment at the temperature of 540-560 DEG C to obtain P-BC powder. The P-BC powder is soaked in a metal salt solution with the total metal ion concentration being 0.8-1.2 mol / L, and under the action of a precipitator, the LDH-coated P-BC material is obtained. The LDH-coated P-BC material is mixed with a ferric chloride hexahydrate solution and a NaBH4 aqueous solution for reaction to obtain the biochar material for adsorbing the heavy metals in the wormcast, so that the fixing and stabilizing effects of the biochar material on the heavy metals in the wormcast are improved.

The application discloses a new device for pre-acidification process combined with cathode buffer zone electric dynamic remediation of heavy metal contaminated soil and a construction method, and belongs to the field of electric dynamic remediation of heavy metal contaminated soil. The device comprises a soil remediation chamber and a sewage treatment chamber. The soil remediation chamber is open at the top, is provided with an anode plate on one side, and is provided with a cathode plate on the opposite side. Filter paper is attached to the two sides of the anode plate and the cathode plate. The cathode plate is further provided with a cathode buffer chamber opposite the anode plate. The anode plate and the cathode plate are connected through wires, a power supply and a sensor. The soil remediation chamber is connected with the sewage treatment chamber on the side provided with the cathode plate, and a gap is formed between the soil remediation chamber and the sewage treatment chamber to allow liquid to flow from the soil remediation chamber into the sewage treatment chamber. The sewage treatment chamber is provided with adsorption material. The sewage treatment chamber is provided with a drainage hole and a drainage pipe at the bottom end. The method can effectively remove heavy metals in sewage and can avoid the possibility of secondary pollution of the environment caused by electric dynamic remediation of sewage.

The invention discloses an assessment system for children liver damage caused by atmospheric heavy metal pollution, relates to the technical field of environmental health management, and aims to solve the technical problems that risk assessment is distorted and early warning of liver damage risks cannot be supported due to single-dimensional estimation of an existing assessment system. The data acquisition module is used for acquiring child activity track data, atmospheric heavy metal concentration data, child dynamic physiological parameter data, ground medium heavy metal data and child growth and development stage information; the data processing layer is used for preprocessing the data acquired by the data acquisition layer, the preprocessing comprises privacy desensitization processing, multi-source data format unification and abnormal value intelligent elimination, and the privacy desensitization processing adopts a mode of original data local retention and feature parameter cloud transmission. The method has the advantages of realizing three-dimensional accurate quantification of the children atmosphere heavy metal pollution liver injury risk, generating personalized intervention suggestions and forming an optimized closed loop.

The invention relates to the technical field of particulate matter source analysis, and discloses a refined source analysis method and system.The method comprises the steps that a plurality of pollution sources and dust falling particulate matter sampling points are determined according to soil pollution distribution of a target area and an atmospheric pollution source survey result, by collecting single particle mass spectrum data of pollution sources, sampling points and receptors, constructing a mass spectrum library and combining an ART-2a algorithm and a deep learning model, the heavy metal pollution contribution proportion is accurately analyzed and traced to specific discharge ports of enterprises, and the problem that specific pollution enterprises and working sections cannot be positioned in the prior art is solved. According to the method, a pollution source and an environment receptor are sampled and analyzed by utilizing a single-particle mass spectrometry technology aiming at atmospheric dust fall particles in soil, and the heavy metal in the atmospheric dust fall particles in the soil is finely traced to specific enterprises and working sections by analyzing the heavy metal, so that a fine technical support is provided for soil heavy metal pollution management and control.

The invention discloses a soil heavy metal pollution detection and remediation hardware system based on isotopic tracing, which relates to the technical field of soil and comprises an isotopic tracing module, a heavy metal detection module, a remediation execution module, a real-time monitoring module, an intelligent regulation and control module and a data storage and transmission module, the data storage and transmission module is connected with the isotope tracing module, the heavy metal detection module, the repair execution module, the real-time monitoring module and the intelligent regulation and control module, and transmits data to a remote monitoring center in a wired or wireless communication mode, so that further data analysis and remote control are carried out; through multi-source data fusion and intelligent algorithm optimization, precise positioning, dynamic monitoring and efficient repairing of heavy metal pollution are achieved, the isotope tracing technology can position a pollution source and predict a diffusion path, and the plant and microorganism synergistic repairing efficiency is improved; the system is suitable for industrial pollution sites, farmlands and other scenes, and has remarkable environmental and economic benefits.

The invention relates to the cross technical field of industrial solid waste resource utilization and environmental pollution abatement, and discloses a modified fly ash environmental remediation material as well as a preparation method and application thereof. According to the material, industrial solid waste fly ash is used as a raw material, a glass body structure is destroyed through physical or chemical modification treatment, the specific surface area is increased, active functional groups such as surface hydroxyl groups are enriched, and the adsorption and fixation capacity on heavy metal lead (Pb < 2 + >) and cadmium (Cd < 2 + >) is remarkably improved. The chemical modification adopts an acid solution or an alkali solution, and the preparation method comprises the steps of raw material pretreatment, modification reaction, solid-liquid separation and washing, and drying and screening. When the material is applied to heavy metal contaminated soil remediation, heavy metal in an ion exchange state is promoted to be converted into a stable residue state, the bioavailability and the leaching risk of the heavy metal are remarkably reduced, meanwhile, high-added-value resource utilization of the fly ash is achieved, and the material has environmental, economic and social benefits and is suitable for large-scale remediation of Pb and Cd single or combined contaminated soil.

The invention belongs to the technical field of microorganisms, and discloses a novel Burkholderia cepacia HSP-21 capable of dissolving phosphorus and solidifying heavy metals and an application of the novel Burkholderia cepacia HSP-21. The novel burkholderia cepacia disclosed by the invention is Burkholderia cepacia HSP-21, and the preservation number of the novel burkholderia cepacia is CCTCC (China Center for Type Culture Collection) NO: M 20251344; the strain is preserved in China Center for Type Culture Collection on June 12, 2025, and the preservation address is Wuhan University, Wuhan, Hubei, China. The strain disclosed by the invention has relatively strong phosphorus dissolving activity, heavy metal removal capacity and curing effect, and can effectively inhibit migration and transformation of heavy metals, so that long-term stabilization of the heavy metals is realized. The strain can be applied to environmental remediation and heavy metal pollution treatment.

The invention belongs to the technical field of microbiology, and particularly relates to application of a high-cadmium-resistance strain Cd2 in promoting repair of heavy metal pollution of aster katsumadai. The invention relates to a strain Cd2 with high cadmium resistance, the taxonomic name of the strain Cd2 is Pseudomonas aeruginosa, and the preservation number of the strain Cd2 is GDMCC No.64110. The strain Cd2 has the advantages that the strain Cd2 has high cadmium resistance; according to the invention, screened strains are identified through morphological observation, gram staining and 16S rRNA (ribosomal Ribonucleic Acid) sequence sequencing, and a high-cadmium-tolerance strain Cd2 is inoculated into soil during the growth period of a hyperaccumulator Aster brachium, so that the influence of Cd2 on the growth and enrichment of the hyperaccumulator Aster brachium is researched. The result shows that when the high-cadmium-tolerance strain Cd2 is inoculated into the soil for planting the aster katsumadai, the cadmium absorption amount of the underground part and the overground part of the aster katsumadai and the cadmium accumulation amount of the whole plant are remarkably increased, and a technical support can be provided for strengthening hyperaccumulation plant remediation.

The invention belongs to the field of industrial waste treatment and comprehensive utilization, and provides a method and a process for preparing a heavy metal polluted acidic wastewater purifying agent by coupling red mud with carbide slag, and the process comprises the following steps: S1, raw material pretreatment: respectively drying original red mud and carbide slag at 105 + / -5 DEG C to constant weight, crushing, and sieving with a 100-mesh sieve; s2, mixing: uniformly premixing the red mud and the carbide slag powder in proportion, mixing the mixture with a binder in proportion, and uniformly stirring; s3, activating: slowly spraying a proper amount of water into the uniformly mixed dry powder, and stirring while adding until the material forms a wet block mass with certain plasticity; s4, granulation: feeding the wet material into a granulator with the granulation particle size of 2-5 mm, and aging the raw material particles at room temperature for 12-24 hours; and S5, drying and activating: drying the aged particles at 105-120 DEG C until the weight is constant, cooling to room temperature, and sieving to obtain the purifying agent product. The method has the effects of being high in heavy metal removal rate, stable, safe and efficient.

The invention provides a method for strengthening plant microorganism combined remediation of heavy metal contaminated soil, and relates to the technical field of soil remediation. The method for strengthening the plant and microorganism combined remediation of the heavy metal contaminated soil comprises the following steps: a) selecting and planting pioneer plants with tolerance to target heavy metal; b) applying a compound microbial agent containing at least two functional microorganisms, wherein the functional microorganisms comprise plant growth-promoting bacteria and microorganisms forming a symbiotic relationship with plants; c) loading the functional microorganisms on a biochar carrier, and applying the biochar carrier to soil; d) selectively adding an exogenous chelating agent according to the effective state concentration of the heavy metals in the soil; and e) selectively carrying out genetic engineering modification on the functional microorganisms or pioneer plants according to repair requirements. The technology is high in flexibility, optimization combination can be carried out according to different heavy metal types, combined pollution and soil conditions, and the advantages of high efficiency, environmental safety and long-term sustainability of the remediation process are achieved.

The invention relates to a waste dump heavy metal pollution risk assessment system based on artificial intelligence. The system comprises a regional data acquisition module, a data primary processing module, a soil assessment model construction module, a water body assessment model construction module and a comprehensive pollution risk assessment module. According to the invention, original data is obtained through data acquisition; a data primary processing method of grid standardization, fracture network topology construction, feature engineering and enhancement and data set segmentation is adopted; an improved random forest model is adopted as a soil evaluation model, a feature weighting mechanism and diffusion simulation of a multi-physical process are introduced, and pollution rules under different paths are simulated by using a multi-path learning strategy; a mixed deep learning model is adopted as a water evaluation model, a hydrological topology network is constructed, a special response function is designed, and meanwhile, delayed release and long-term accumulation characteristics of pollutants are captured by using a space-time memory mechanism, so that the risk evaluation precision of the underground water level is improved.

The invention discloses a preparation method of an iron-doped cerium-based perovskite type high-selectivity Cu ion capture stabilizing agent and application of the stabilizing agent in heavy metal pollution remediation, and the stabilizing agent is prepared through a sol-gel method and comprises the steps that cerous nitrate and citric acid are dissolved in water, and the mixture is heated and stirred to be gel-shaped; standing the gel solution in a drying oven at a constant temperature to obtain a Fe-Ce-PVSK precursor; grinding the precursor into powder, putting the powder into a quartz boat, and calcining in an air atmosphere through a horizontal tube furnace to obtain a product; and finally, washing to be neutral to obtain the iron-doped cerium-based perovskite stabilizing agent. Due to the high oxygen vacancy concentration and rich active sites, the stabilizing agent has high selectivity and high adsorption capacity and has specific capturing capacity on Cu < 2 + >. The preparation method has mild reaction conditions. The stabilizing agent can effectively reduce the bio-availability of heavy metals in a polluted matrix, promote healthy growth of plants, and realize pollution restoration and ecological function recovery at the same time.