405 results about "Soil heavy metals" 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 relates to the technical field of in-situ / ex-situ remediation of sites polluted by heavy metals such as cadmium, lead, copper and zinc, and discloses a heavy metal polluted soil remediation system and method based on intelligent management and control. The system comprises an electrode system module, an activator module, a targeted adsorption device module, an automatic monitoring system module, an intelligent decision-making system module and a photovoltaic power supply module. The method comprises the steps of driving heavy metal ions in soil to directionally migrate through an electric field; the activating agent module works, green micromolecule organic acid and other activating agents are injected in a gradient mode, and the migration efficiency of heavy metal is improved; activated heavy metal ions can be captured by an adsorption material in the targeted adsorption device module in cooperation with a selective enrichment device; meanwhile, the automatic monitoring system module collects environmental parameters in real time; the intelligent decision-making system module optimizes the remediation efficiency and energy consumption according to the real-time data, and low-cost and high-efficiency remediation of soil heavy metal pollution is achieved. The remediation efficiency is remarkably improved, and the risk of secondary pollution is reduced.

The invention discloses a soil heavy metal inversion method and system integrating satellite remote sensing and near-end sensing, and the method comprises the steps: collecting a soil sample, and measuring the soil heavy metal content and a soil visible light-near infrared spectrum; obtaining a time sequence multispectral image of a research area, calculating a spectral index, and selecting and screening bare soil pixels through a threshold value to obtain a bare soil image; performing spectrum correction on the bare soil image; obtaining a joint dictionary and a sparse coefficient through sparse representation and dictionary learning, and reconstructing a hyperspectral image of the bare soil image; converting the one-dimensional spectral data into a two-dimensional spectrogram by using continuous wavelet transform, extracting spectral features in combination with a 2D-CNN algorithm, and constructing a soil heavy metal inversion model; and using the trained inversion model to predict the soil heavy metal content of the research area based on the reconstructed hyperspectral image. According to the method, satellite remote sensing and near-end sensing are integrated to obtain a large-scale accurate soil heavy metal content distribution map, deep features are extracted in combination with a 2D-CNN algorithm, and the inversion model precision and model efficiency are improved.

The invention provides a mining area surrounding soil heavy metal spatial distribution inversion method based on hyperspectral data, and the method comprises the steps: processing multi-source monitoring data of mining area surrounding soil, and obtaining a consistent reflectivity data set; performing soil spectrum purification based on the consistent reflectivity data set to obtain a pure soil signal; spectrum key features are screened out from the pure soil signals; obtaining a modeling data set in combination with the spectrum key features and the heavy metal concentration labels so as to construct a multi-task inversion model, and outputting each metal prediction interval and an over-standard risk probability graph; and outputting a multi-layer package based on the model, performing global and local interpretation and mechanism verification, and generating an interpretation report and traceable evidence. According to the method, full-link unification and purification can be achieved, domain deviation and mixed pollution are remarkably reduced, the accuracy and interpretability of feature screening can be considered, and the model generalization ability, prediction accuracy and space credibility are improved.

The invention discloses a soil heavy metal distribution prediction method and system based on machine learning, and the method comprises the steps: obtaining topographic factor land use industrial activity data, carrying out the fusion remote sensing information processing, and determining a multi-source data set; performing standardization processing according to the multi-source data set, and performing space-time registration if the scale difference after standardization processing exceeds a preset threshold value to obtain data in a unified format; key features are extracted according to the unified format data, and a dimension reduction feature set is obtained through principal component analysis; a random forest model is constructed according to the dimension reduction feature set, parameters are optimized, and a heavy metal content prediction model is determined; inputting the sampling finite point location data into a heavy metal content prediction model, judging an industrial activity influence area, and obtaining a preliminary distribution estimation result; based on the preliminary distribution estimation result, high-resolution grid data are obtained by fusing topographic factors for the space complex region; and generating a pollution distribution diagram according to the high-resolution grid data, judging a low-prediction-precision region, and obtaining a final optimized layer.

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 relates to a real-time monitoring method for soil remediation by utilizing multi-spectrum of an unmanned aerial vehicle and sensing coupling of the Internet of Things, and belongs to the technical field of soil environment monitoring and remediation. The method comprises the following steps: constructing a space grid model of a monitoring area; a space-air-ground integrated monitoring network is arranged, image data are obtained through multi-spectral remote sensing of an unmanned aerial vehicle, and soil environment parameters are collected through a ground Internet of Things sensor; preprocessing and fusing the multi-source spatio-temporal data, and establishing a spatio-temporal matching model; constructing an inversion model of the soil heavy metal content, the organic matter content and the pollutant degradation degree based on the fusion data; and the repair efficiency is dynamically calculated and visualized, and real-time evaluation and early warning of the repair process are realized. According to the invention, space-air-ground data collaboration is realized, the real-time performance, accuracy and space coverage of monitoring are remarkably improved, the defects of high cost, low efficiency and limited data dimension of a traditional method are overcome, and whole-process and intelligent decision support is provided for soil remediation.

The invention relates to the technical field of soil pollution analysis, and discloses a soil heavy metal intelligent evaluation method, system and terminal, and the method comprises a multi-source heterogeneous data fusion and preprocessing step, a dynamic spatial interpolation modeling step and an intelligent visualization and decision support step. The system corresponds to the method, and the terminal equipment corresponds to the system. According to the method, comprehensive data support for soil heavy metal pollution is realized through multi-source heterogeneous data fusion and preprocessing; through dynamic spatial interpolation modeling and a dynamic parameter adjustment mechanism, high-precision grid surface layer generation is realized, and the fitting precision of pollution spatial distribution is improved; intelligent pollution grading and multi-factor dynamic calculation of pollution indexes are realized through self-adaptive grading and pollution index calculation, and the accuracy of an analysis result is improved; through intelligent visualization and decision support, a dynamic and visual decision basis is provided for multi-department collaborative governance and risk early warning.

The invention discloses a sodium alginate embedded iron-carbon microcapsule material for repairing cadmium and arsenic polluted soil and a preparation method of the sodium alginate embedded iron-carbon microcapsule material, and belongs to the technical field of soil heavy metal pollution repairing materials. The material comprises straw biochar, high-iron steel slag powder, a sulfydryl acetylated chitosan-iron monatomic cluster compound, a boron-doped graphitized carbon coated cobalt ferrite nanosheet, sodium alginate, calcium chloride and sodium carbonate. Wherein the sulfydryl acetylated chitosan is prepared by reacting chitosan with sulfydryl acetic anhydride, dialyzing and drying, and performing solvothermal reaction with ferric nitrate under high pressure. The preparation method comprises the following steps: pyrolyzing and drying the straw biochar, reacting the high-iron steel slag with sulfuric acid, adding the biochar, adjusting the pH value, adding sodium carbonate, mixing to obtain an iron-carbon-based passivation material, mixing with two modified compounds, mixing with a sodium alginate solution, dropwise adding a calcium chloride solution, and stirring and curing. The material can be applied to remediation of cadmium and arsenic polluted soil.

The invention relates to the technical field of soil heavy metal pollution remediation, and particularly discloses a preparation method of iron-modified biomass charcoal, which comprises the following steps: preparing garden waste into biomass charcoal (PBC), and then carrying out iron modification by using FeCl3 to obtain iron-based biomass charcoal (PIBC). The invention further provides a method for repairing the cadmium-arsenic combined polluted soil through the iron-modified garden waste biochar. The method comprises the steps that the iron-modified biomass charcoal prepared through any method is added into the soil; the iron-modified biomass can be applied as a base fertilizer at one time, and is turned over to be fully and uniformly mixed with a plough layer of soil. By adopting the method disclosed by the invention, the bioavailability of Cd / As in the soil can be synchronously reduced, and waste resources are utilized to realize pollution control by waste.

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 discloses a seed coating containing an arbuscular mycorrhizal inoculant. The seed coating is prepared from the following components in parts by weight: 25 to 35 parts of the arbuscular mycorrhizal inoculant, 35 to 45 parts of a soil conditioner, 15 to 20 parts of talcum powder and 15 to 20 parts of polyvinyl acetate. The invention further provides a preparation method of the seed coating containing the arbuscular mycorrhizal inoculant and application of the seed coating to reduction of soil heavy metal pollution, increase of disease resistance and stress resistance of crops and promotion of crop growth. The seed coating containing the arbuscular mycorrhizal inoculant wraps the surfaces of plant seeds, provides good nutritional ingredients for growth and development of the seeds, and is beneficial to improving the germination rate of the seeds under heavy metal cadmium stress, reducing soil heavy metal cadmium pollution, improving soil quality, increasing soil fertility and improving disease resistance and stress resistance of crops; growth of seedlings is promoted, and crop quality and yield are improved.

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 application provides an in-situ passivation remediation method for heavy metals in farmland soil, and belongs to the field of heavy metal passivation in soil. The in-situ passivation remediation method for heavy metals in farmland soil is composed of the following steps: premixing, primary fermentation and secondary fermentation. The premixing is to uniformly mix pig manure, chicken manure, a composite passivation agent, a microbial inoculum and farmland soil, to adjust the C / N ratio and the water content of the mixture, to obtain a premix, and then to perform primary fermentation and secondary fermentation in an aerobic environment. The in-situ passivation remediation method for heavy metals in farmland soil can effectively combine the passivation agent with the compost fermentation, avoid the adverse effects of the fermentation components on the passivation agent during the composting process, improve the adaptability to different soil characteristics, realize stable and efficient treatment of different characteristic soils, further improve the in-situ passivation remediation effect on heavy metals in farmland soil, and effectively avoid the situation that the heavy metals in the soil are released again after the soil heavy metals are passivated.

The invention discloses a soil heavy metal content prediction method and device, a storage medium and electronic equipment, and relates to the technical field of soil heavy metal prediction.The method comprises the steps that soil samples with different heavy metal concentrations and different particle size grades are prepared; acquiring spectral reflectivity data of the soil sample corresponding to multiple observation angles, and performing smooth filtering processing on the spectral reflectivity data by adopting a preset smooth filtering algorithm; on the basis of the spectral reflectivity data of different observation zenith angles under the same observation azimuth angle after smooth filtering processing, same-direction difference spectral features are constructed; and performing cross-particle size robustness verification on the same-direction difference spectral features to screen out target spectral features, and inputting the target spectral features into the trained soil heavy metal content prediction model to obtain a soil heavy metal content prediction result. According to the method, the soil heavy metal content can be stably and accurately predicted.

The invention provides bacillus mycoides Y2 with functions of reducing cadmium content of crops and promoting growth and application of the bacillus mycoides Y2, and relates to the technical field of soil heavy metal pollution bioremediation and agricultural microorganism application. The bacillus mycoides Y2 is preserved in the China General Microbiological Culture Collection Center (CGMCC) on July 14, 2025, and the preservation number is CGMCC 35231. The strain can be applied to cadmium-polluted soil through root application, can reduce the cadmium content of edible parts of crops such as rice, oilseed rape and fast vegetables, and promotes crop growth and rice root surface iron plaque formation. The contaminated soil in Hunan, Henan and Tianjin is verified to be capable of stably colonizing and adapting to different soils and crops. The strain and the matched preparation are green, efficient, high in stability and wide in universality, and provide key technical support for safe utilization of cadmium-polluted cultivated land.

The invention discloses a microbial soil conditioner and a preparation method thereof, and relates to the technical field of soil improvement. The method comprises the following steps: culturing heavy metal-resistant chlorella and aspergillus niger to obtain a mixed bacterial suspension, combining the mixed bacterial suspension with a composite chelating modifier prepared by reacting chitosan quaternary ammonium salt, ethylenediamine tetraacetic acid and epichlorohydrin, carrying out crosslinking by using genipin to obtain a functional microbial agent, and carrying out pyrolysis and acid oxidation on corn straws as a raw material to obtain the heavy metal-resistant chlorella modified functional microbial agent. The preparation method comprises the following steps: preparing a nano zero-valent iron-biochar composite material, reducing and loading ferrous ions through sodium borohydride, preparing the nano zero-valent iron-biochar composite material, mixing the nano zero-valent iron-biochar composite material with zeolite, bentonite and a silane coupling agent, carrying out spray drying to prepare a porous carrier substance, and finally stirring and mixing an organic fertilizer complex microbial inoculant, the functional microbial inoculant and the carrier substance, and aging to prepare the soil conditioner. The prepared conditioner has a good remediation effect on soil heavy metal pollution.

The invention discloses a soil heavy metal portable XRF intelligent detection and early warning system integrated with a risk assessment function, and relates to the technical field of environment monitoring. According to the invention, data are collected through a portable equipment system integrating multispectral sensing and an environment probe, a pollution area is accurately locked in combination with an improved clustering algorithm, accurate positioning of a pollution point location is realized by means of cooperative operation of the unmanned aerial vehicle, and the problem of blindness of traditional sampling is effectively solved; a dynamic interference correction and multi-stage calibration mechanism is established, a deep learning and machine learning fusion model is adopted to extract an environmental interference factor, and spectral line processing and an environmental compensation algorithm are combined, so that the accuracy of a detection result in a complex environment is remarkably improved; the efficiency and precision of soil heavy metal pollution treatment are greatly improved by realizing full-process intelligence from risk evaluation to treatment decision, establishing a multi-dimensional risk evaluation system, automatically generating an optimal operation path and intelligently recommending a treatment scheme based on pollution characteristic data.

The invention discloses an XRF metal detection and analysis method for soil heavy metal pollution, and relates to the technical field of detection, and the method comprises the following steps: S1, collecting a main peak energy value, an X-ray intensity value and a main peak full width at half maximum value of each metal element; s2, selecting out indication elements, obtaining an X-ray intensity value ratio, and collecting a PH value and a water content mean value of the detected soil; s3, constructing a multi-output regression model based on the multi-layer perceptron network; s4, generating a predicted distribution value of each valence state distribution by using a multi-output regression model; and S5, when the target detection soil is marked as unknown pollution, returning to the step S2 to replace the indication element, and then re-executing detection. Compared with the prior art, the method has the advantages that XRF in-situ detection is combined with a machine learning algorithm for modeling, complicated extraction and color development steps in traditional valence state analysis are avoided, second-level valence state prediction is realized, and the method has the advantages that the cost and the use threshold are reduced, and the soil heavy metal pollution detection efficiency is obviously improved.

The novel in-situ four-stage crushing soil remediation device comprises a vehicle head, a vehicle frame, a first-stage chain plate type turning and throwing device, a pesticide spraying device, a second-stage coarse crushing device, a third-stage fine crushing spiral mixing device and a fourth-stage spiral mixing device, the vehicle frame is fixedly connected to the rear side of the vehicle head, the first-stage chain plate type turning and throwing device is arranged directly below the vehicle frame, the front end of the first-stage chain plate type turning and throwing device is hingedly connected to the front side of the vehicle frame, the pesticide spraying device is installed on the front side of the vehicle frame, and the second-stage coarse crushing device, the third-stage fine crushing spiral mixing device and the fourth-stage spiral mixing device are vertically installed on the rear side of the vehicle frame from front to back. The four-stage crushing design of the chain plate type turning and throwing, coarse crushing, fine crushing spiral mixing and spiral mixing integrated type is adopted, the soil can be effectively layer-by-layer scanned and crushed, the crushing, pesticide spraying and mixing are integrated, the soil crushing rate is effectively improved, the soil and pesticide mixing property is enhanced, the automation degree is improved, and the heavy metal passivation efficiency of the soil is effectively improved.

The invention provides an ecological restoration method for backfilling dehydrated slime into a bauxite goaf, which comprises the following steps of: backfilling filtered and dehydrated slime into the goaf, and covering soil; and then land leveling, slope treatment, soil improvement, irrigation and drainage engineering, field road construction, farmland protection, ecological environment protection, science and technology supporting service and other processes are carried out. Organic fertilizers (such as pig manure and chicken manure) and a biological silicon fertilizer are added on the basis of an inorganic fertilizer, so that the physical and chemical properties of soil are more effectively improved, and meanwhile, the risk of heavy metals in the soil is reduced; by implementing a terraced field slope descending measure in the goaf, the land is smoother, water and soil loss is effectively prevented, the soil fertility is kept, the repaired land can be returned to farmers for planting common crops such as corn, peanuts and cassava, the income of the farmers can be increased, and local agricultural development can be promoted.

The application discloses a kind of mine contaminated soil heavy metal high-efficiency leaching removal effect prediction methods, belong to soil leaching data processing technical field.The method includes the following steps: according to the soil characteristic parameter of specified area soil, the concentration of reference leaching agent is corrected, and the corresponding initial leaching agent concentration is obtained;According to the soil state parameter of each time monitoring point of specified area soil, the leaching speed of specified area soil is dynamically adjusted;According to the soil permeability parameter of each monitoring period of specified area soil, the leaching agent injection time of specified area soil is dynamically adjusted, and the corresponding leaching removal effect is predicted after each monitoring period ends.The application can improve the efficiency and effect of leaching process by correcting the concentration of leaching agent, dynamically adjusting the speed of leaching agent and the injection time of leaching agent, and can also optimize the leaching scheme according to real-time monitoring data to ensure the best removal effect.

The invention relates to the field of soil pollution remediation, and discloses a remediation device for soil heavy metal pollution remediation and a using method thereof.The remediation device for soil heavy metal pollution remediation comprises an acid mist absorption tower which is arranged on the top face of the ground; a purifying assembly, a crushing assembly, a screening assembly, a humidifying assembly, a transferring assembly, a stirring assembly and a protecting assembly are arranged on the ground. According to the remediation method for soil heavy metal pollution remediation, pollution in soil is effectively detoxified through screening and crushing, reduction reaction, deacidification, neutralization reaction, dehydration and re-burying, the original pollution in a soil leachate is larger than or equal to 2000 mg / kg, the total chromium content is larger than or equal to 10000 mg / kg and is reduced to be smaller than or equal to 3 mg / L, the total chromium content is smaller than or equal to 9 mg / L, Ni is smaller than or equal to 50 mg / L, meanwhile, the pH ranges from 6 to 9, and the remediation effect is good. And acid mist generated in the reduction reaction process can be pumped into the acid mist absorption tower by the anti-corrosion induced draft fan, is neutralized by alkali in the acid mist absorption tower, and is discharged after reaching the discharge standard through the discharge pipe.

The invention discloses a geological soil heavy metal pollution detection method and system based on spectral remote sensing, and relates to the technical field of pollution detection, and the method comprises the steps: obtaining the historical soil information monitored at each time of each sub-region from a database, setting each collection parameter of a collection device of each sub-region, obtaining the vegetation information of each current sub-region from the database, and setting each collection parameter of a collection device of each sub-region; analyzing whether the soil in each sub-region is polluted by heavy metals, dividing each sub-region into each marked region and each polluted sub-region according to an analysis result, and analyzing the risk that the soil in each marked region is polluted by the heavy metals and the change trend of the heavy metal pollution of each polluted sub-region; and according to the soil information of each marked region and each polluted sub-region and the competitive relationship among the vegetations, a scheme is prepared, so that the accuracy of different form content detection of each heavy metal and the effectiveness of soil heavy metal pollution judgment are guaranteed, and the rationality and effectiveness of vegetation planting are also guaranteed.

The embodiment of the application discloses a soil heavy metal health risk prediction method for a crowd risk differentiation; the embodiment of the application can grid the region to be evaluated, obtain the region type and the soil heavy metal content of each subregion; in combination with the individual type and the space-time activity data of the individual in each subregion, the activity subregion set of each individual is determined, and multiple homogeneous groups are formed based on the region type, the individual type and the activity subregion set clustering; for each group, the heavy metal content, the differentiated exposure parameter and the residence time length distribution characteristics of the activity subregion are fused, the daily average intake of heavy metals in multiple ways is calculated, and then the health risk score is obtained; finally, the group risk score is mapped and accumulated to the spatial subregion according to the residence time length distribution, the crowd health risk load value is generated, and the subregion to be treated is identified accordingly. Thus, the embodiment of the application is fair and targeted in the treatment of soil heavy metal pollution.

The application discloses an L-cysteine-based soil lead pollution leaching agent and a preparation method thereof, and belongs to the technical field of soil heavy metal pollution remediation. The L-cysteine-based soil lead pollution leaching agent comprises the following raw materials: an L-cysteine solution, a pH buffer and a polyvinylpyrrolidone solution; the concentration of the L-cysteine solution is 0.3-0.5 mmol / L, the concentration of the pH buffer is 1 mmol / L, and the mass fraction of the polyvinylpyrrolidone solution is 0.003%-0.005%; the volume ratio of the L-cysteine solution, the pH buffer and the polyvinylpyrrolidone solution is 1:1:0.15-0.4. The leaching agent has a remarkable leaching effect on soil lead, and the removal rate of the leaching agent on the contaminated soil with a Pb content of more than 500 mg / kg can reach more than 85%, so that the leaching agent can effectively prevent lead from migrating through the soil into a food chain or a water environment, and is much stronger than a traditional carboxyl-based leaching agent.

The utility model belongs to the technical field of soil sampling, and particularly relates to a soil heavy metal pollution sampling device which comprises a drill rod and a sampling device, the upper surface of the drill rod is fixedly connected with a connecting rod, and the upper surface of the connecting rod is fixedly connected with a grip; the sampling device is arranged on the surface of the drill rod and comprises a drill barrel, the drill barrel is inserted into the inner surface of the drill rod, the upper surface of the drill barrel is fixedly connected with four supporting columns, the four supporting columns are inserted into the inner wall of the drill rod, a plurality of storage devices are arranged on the surface of the connecting rod, each storage device comprises an elastic clamp, and the side wall of each elastic clamp is fixedly connected with the surface of the connecting rod. A storage barrel is inserted into the inner surface of the elastic clamp, two limiting blocks are fixedly connected to the surface of the storage barrel, and the two limiting blocks are inserted into the inner surface of the elastic clamp; by arranging the whole device, soil can be conveniently sampled, meanwhile, the drill barrel can be conveniently replaced, and the soil in the drill rod can be conveniently taken out through the push rod, the ejector head and the push block.

The invention discloses a tree species screening method for heavy metal lead contaminated soil remediation, and relates to the technical field of heavy metal lead contaminated ecological management. Common greening tree species such as cinnamomum camphora, willow, gingko, koelreuteria paniculata, photinia serrulata and osmanthus fragrans are selected, leaf and rhizosphere soil are collected in a point distribution mode, and the content of heavy metal Pb in a sample is measured; the heavy metal Pb content distribution characteristics of different tree species are quantified, the heavy metal Pb enrichment capacity difference of the greening tree species is explored, the heavy metal Pb enrichment and transfer efficiency of the greening tree species is comprehensively evaluated, and the greening tree species with the best heavy metal Pb purification effect is screened out. The method is a phytoremediation technology which has the advantages of being economical, simple, convenient, high in recognition degree, long in life cycle, free of damage to the soil structure, not prone to causing secondary pollution and the like.

The invention relates to a soil heavy metal risk assessment method for a fuzzy region, fully considers spatial heterogeneity of soil heavy metals and a complex relationship between the soil heavy metals and agricultural products, and provides a fuzzy region averaging method, an improved potential ecological risk index method and an agricultural product risk index method. Therefore, soil heavy metal risk assessment of the fuzzy region is realized, and technical reference is provided for regional soil heavy metal risk assessment.