75 results about "Soil Pollutants" patented technology

The invention provides a soil pollutant detection system and method, and the method comprises the steps: carrying out the continuous spectrum compensation of a target compensation region of a soil Raman spectrum signal of a to-be-detected soil sample, and obtaining soil Raman spectrum compensation data; identifying a background baseline response interval in the soil Raman spectrum compensation data through iterative differential analysis, and segmenting the soil Raman spectrum compensation data into a plurality of peak-containing spectrum segments according to the background baseline response interval; determining a signal fidelity constraint of the soil Raman spectrum signal during smooth iteration; recognizing a local background baseline corresponding to each peak-containing spectrum section based on an incremental smooth window in combination with signal fidelity constraint, and determining a clean characteristic spectrum according to all background baseline response intervals and the local background baselines; and identifying according to the clean characteristic spectrum to obtain the pollutant concentration of the to-be-detected soil sample. According to the technical scheme provided by the invention, adaptive fidelity extraction can be carried out on the pollutant characteristics under the condition of the violently changing background base line.

The invention discloses a data analysis method for monitoring soil pollution spatial distribution based on image fusion. The method comprises the following steps: step 1, collecting soil pollution monitoring data; 2, preprocessing the soil pollution monitoring data; step 3, performing image fusion calibration; step 4, extracting soil pollutant characteristics; 5, generating a soil health index; and step 6, monitoring the soil environment. Compared with the prior art, the soil pollution monitoring method has the advantages that all-directional monitoring of soil pollution is achieved through the image fusion technology, the limitation of a traditional monitoring method is broken through, the spatial distribution characteristics of pollutants can be comprehensively reflected, and the soil pollution monitoring range and accuracy are effectively improved.

The invention relates to the technical field of environment monitoring and intelligent sensors, and particularly discloses a soil pollutant detection and analysis system based on an intelligent sensor. The system comprises a sensor array module, a data preprocessing and fusion module, an ecological toxicity dynamic evaluation module and a decision output module. According to the invention, the biological response sensing unit capable of directly reflecting the ecological effect is integrated, and the ecological toxicity dynamic evaluation model fusing the concentration, the biological response and the environmental factors is innovatively constructed, so that direct and dynamic quantification from the pollutant content to the ecological risk is realized. According to the method, the problem that an existing assessment method is insufficient in biological correlation is solved, the risk assessment result is closer to the real ecological environment effect, and a reliable basis is provided for precise treatment.

The invention discloses a soybean producing area soil combined pollution micro-ecological risk assessment method and system, and belongs to the technical field of agricultural environment monitoring. The method comprises the following steps: acquiring soil pollutant data and microbial community data, calculating a risk entropy, constructing a micro-ecological health index, and respectively obtaining a first result and a second result by utilizing a risk assessment neural network and a comprehensive model combined with principal component analysis, a clustering algorithm and a hunter optimization algorithm; and determining a final risk level and high-risk pollutants after key factor matching and weighted correction mechanism verification. According to the method, the problems of single evaluation dimension, insufficient dynamic adaptability and the like in the prior art are solved, accurate diagnosis and risk early warning of soil combined pollution are realized through multi-source data fusion and multi-method cooperation, the evaluation accuracy and decision-making efficiency are improved, and technical support is provided for soybean producing area soil micro-ecological risk management and control and agricultural sustainable development.

The invention provides an industrial site soil pollutant concentration prediction method using three-dimensional distribution interpolation, and belongs to the field of soil pollution prediction, and the method comprises the following steps: S1, extracting soil pollution distribution characteristics based on sample point positions and attribute information; s2, measuring the anisotropy of the pollution concentration value in the two directions by estimating the ratio R of the vertical direction gradient to the horizontal direction gradient of the soil pollutant concentration through the soil sample point pollution concentration and a difference method, and multiplying the z value in the original coordinate space by the R by taking the R as an expansion factor to obtain a new vertical coordinate value; s3, expanding the spatial position representation module of the DKNN from a two-dimensional space to a three-dimensional space; s4, selecting a space encoder; and S5, on the basis of the spatial encoder, performing spatial prediction by using a general Kriging equation. According to the method, a GeoAI framework based on deep learning and geoscience knowledge fusion is introduced and expanded, the problem of three-dimensional distribution simulation of industrial site soil pollutants can be solved, and soil pollution can be accurately predicted.

The invention provides a method and system for dynamically monitoring soil pollutants based on an unmanned aerial vehicle, and relates to the technical field of soil pollution abatement, and the method comprises the steps: constructing a continuous monitoring network, setting the route weight of each route in the continuous monitoring network in different environments, and collecting the average soil pollutant pollution concentration of each route in the corresponding environment; state judgment is carried out on the collected average soil pollutant pollution concentration of each route in the corresponding environment, and the soil pollutant pollution state of the corresponding area is obtained; based on a visualization technology, carrying out visual rendering on pollution states of soil pollutants in different areas in the continuous monitoring network; and carrying out pollution risk assessment when an abnormal soil pollutant pollution state occurs in the continuous monitoring network, and constructing a soil pollutant pollution diffusion model according to a pollution risk assessment result to obtain a corresponding pollution risk processing scheme.

The invention discloses a method for preparing a soil conditioner for gardenia cultivation by using immobilized compound bacteria, which comprises the following steps: extracting gardenia lignin by using gardenia waste as a raw material, and preparing an inner-layer wall material to embed a mixed bacteria solution to obtain lignin inner-layer microcapsules; preparing an outer-layer wall material through modified chitosan, and compounding and curing the inner-layer microcapsule, the hydrogenated streptomyces liquid and the outer-layer wall material to obtain the immobilized composite microbial agent. And finally, mixing the immobilized complex microbial inoculant with matrixes such as leaf mold and peat soil to obtain the modifier. Ordered release of compound bacteria is realized through dual response, functional synergy of Rafissonia, Ochrobactrum and Streptomyces hydrogenii can be enhanced through population signal molecule modification, soil nutrients can be activated, effective iron can be chelated to solve the problem of iron deficiency yellowing of cape jasmine, soil pollutants and pesticide residues are degraded, and the soil quality is improved. Pathogenic bacteria reproduction is inhibited, and rhizosphere micro-ecological balance is maintained; plant hormones can be secreted to promote the growth of the cape jasmine, and the cape jasmine is converted into more components with high medicinal value.

The invention provides a soil pollution accumulation prediction method based on nesting of multiple self-correlation scales, and the method comprises the steps: analyzing a multi-scale nested space structure of soil pollutants through a semi-variation function, determining a block gold effect, an offset abutment value and a range parameter corresponding to each scale, and calculating the contribution degree of the block gold effect, the offset abutment value and the range parameter to overall variation; in combination with original sampling data, identifying main driving factors of pollutant accumulation under different scales, and comprehensively evaluating and sequencing the importance of the factors by adopting various quantitative analysis methods; constructing a cross-scale prediction model set, taking each scale dominant driving factor as an input feature, carrying out modeling by using multiple basic models, screening and optimizing the models through clustering and a multi-objective optimization algorithm, and forming an integrated learning framework of dynamic weight distribution; and carrying out weighted fusion on prediction results according to contribution degrees of all scales, generating a soil pollutant spatial distribution prediction map reflecting multi-scale nested features, and outputting the prediction map through a visual tool, thereby improving prediction precision and spatial interpretation capability.

The utility model relates to the technical field of soil detection and collection, in particular to soil pollutant collection equipment. Comprising a frame body assembly, a sleeve assembly, a driving assembly and a sample pushing assembly, the frame body assembly comprises a collection frame and a positioning nail, the sleeve assembly comprises a positioning sleeve, the driving assembly comprises a sampling barrel and a driving screw rod, the sample pushing assembly comprises a bulldozing rod, connecting rods are connected to the inner wall of the collection frame at equal intervals, and the bulldozing rod is connected to the inner wall of the collection frame. A limiting rod is connected to the inner side of the positioning sleeve, a guide plate is slidably connected to the outer ring of the limiting rod, a driving ring is welded to the outer ring of the top of the driving screw rod, and a bearing seat is connected to the top of the sampling barrel. A handle is held, a driving ring is rotated, the driving ring drives a driving screw rod to coaxially rotate in the rotating process, the stability of the driving screw rod in the rotating process can be improved through a threaded guide sleeve, and soil is conveniently cut and collected through the arrangement of a soil breaking cone.

The invention relates to the field of soil treatment, in particular to pollutant separation equipment for soil detection. A sliding plate is arranged at the upper end of the filter screen; a masher containing a middle pipe with a liquid cavity and a sleeve is arranged in the hot cylinder; a scraping plate is arranged at the lower end of the top cover; a main cutter is arranged at the lower end of the middle pipe, an auxiliary cutter is arranged above the main cutter and provided with a spray head communicated with the liquid cavity, and a spray head is arranged on the side wall of the hot cylinder. A pneumatic sliding table driving sliding plate is arranged on the support, a reciprocating air cylinder driving sleeve is arranged on the top cover, and a main motor drives a middle pipe through a bevel gear and a magnetic shaft. During operation, soil is put in from the feed port, blending liquid and clear water are injected into the spray head and the nozzle respectively, the main and auxiliary cutters cut up the soil, the rigid paddle and the elastic paddle stir, the hot cylinder heats, steam is discharged through the air pipe, the scraper prevents condensation, the sliding plate moves to enable slurry to enter the dehydrator through the filter screen, and the soil is recycled after dehydration. The equipment is high in separation efficiency, durable in parts and suitable for separation of soil pollutants.

The invention belongs to the field of soil environment big data, and particularly relates to a method and system for evaluating hysteresis of a regional scale industrial source to soil pollution, and the method comprises the steps: collecting industrial source space density data and soil pollutant concentration distribution data in different time periods in a region, and associating the industrial source space density data and the soil pollutant concentration distribution data in space to form data groups in different time periods; indexes such as pollution intensity P, regional area S, statistical time T and lag time L are proposed, and a pollutant cumulant estimation equation set is established; lagging time L and statistical time T are calculated, a lagging coefficient C is calculated, the lagging degree of pollution in a specified time period is evaluated, and scientific and technological support is provided for precise management of the regional scale soil environment.

The application belongs to the technical field of soil pollutant remediation, in particular to a device for efficiently degrading high-concentration petroleum hydrocarbon in soil, which comprises a feeding module, a conveying module and a thermal desorption module, the conveying module is arranged below the feeding module, the feeding module and the thermal desorption module are connected through the conveying module, together forming a petroleum hydrocarbon degradation device, and the device further comprises a motor and a bracket, the bracket is installed on the surface of the feeding module, a rotating shaft is rotatably connected to the surface of the bracket, and the rotating shaft is driven by the motor; the impurities in the soil can be picked out through the cooperation of the picking rod and the comb plate, so as to avoid the situation that the soil is wrapped in plastic bags, which leads to the reduction of degradation efficiency and the adhesion of the soil to the cylinder wall of the thermal desorption cylinder, and the soil with plastic bags is inconvenient to clean in the later period, the degradation efficiency is improved, and the soil with plastic bags can also avoid causing environmental pollution after backfilling.

The invention provides a soil pollution intelligent detection system and method based on the Internet of Things, and relates to the technical field of soil pollution detection, soil pollution detection points are laid, and the soil pollutant concentration value of each detection point is collected according to a preset frequency; a spatial continuity algorithm is adopted to calculate the pollutant concentration value of an undetected area, and then the pollutant concentration values of all the areas are obtained; constructing a pollution change function model based on the pollutant concentration values of the sampling points in all the areas, and calculating pollution change function values under different distance intervals; and calculating the pollution degree value of the region based on the pollution change function values under different distance intervals, thereby judging the pollution condition of the region.

This utility model relates to the field of soil research technology and discloses an equidistant sampling device suitable for the study of soil pollutants in agricultural land. It includes a support plate with a scale fixedly connected to its top. Two I-shaped grooves are formed at the top of the support plate, and two I-shaped sliders are slidably connected to the inner walls of the two grooves. Two pedals are fixedly connected to the tops of the two sliders. The operator first determines the sampling interval according to the research requirements. Then, the operating parameters of the bidirectional motor, such as speed and direction of rotation, are set via the control panel. After starting the bidirectional motor, its output drives a bidirectional screw to rotate. Due to the bidirectional thread characteristic of the bidirectional screw, the two moving sleeves connected to the surface of the bidirectional screw will move in opposite directions at equidistant intervals along the screw. The operator can then observe the position of the pointer on the scale.

The application relates to the technical field of soil monitoring, and discloses a method and system for monitoring soil pollutants in a power transmission and transformation project, wherein the method comprises the following steps: collecting hyperspectral image data in a power transmission and transformation project area; processing the hyperspectral image data by adopting a multistage spectral transformation mechanism to obtain characteristic wave bands representing pollutant contents; inputting the characteristic wave bands into a preset spectral inversion model to generate a concentration spatial distribution map of soil pollutants; constructing a soil and groundwater diffusion model according to the concentration spatial distribution map; and generating a migration path identification map of soil pollutants and an underground pollution risk area identification map based on the soil and groundwater diffusion model. The method has the beneficial effect of improving pollution identification precision and migration prediction accuracy.

The invention discloses a preparation method and application of Zr-MOF modified magnetic straw biochar filler, and belongs to the technical field of water pollution treatment and ecological remediation, the method comprises the following steps: adding powdery straw into a solution of ferrous ions and ferric ions, stirring and performing ultrasonic treatment, and performing high-temperature pyrolysis on the dried powdery straw to prepare magnetic biochar; zirconium salt, the magnetic straw biochar and terephthalic acid are added into an N, N-dimethylformamide solution, the mixture is stirred and subjected to ultrasonic treatment, then the mixture is put into a polytetrafluoroethylene reaction kettle for a reaction, after the reaction is finished, N, N-dimethylformamide and absolute ethyl alcohol are used for cleaning, and after drying, the Zr-MOF modified magnetic straw biochar filler is obtained. Plant straw is used as a biochar raw material, biochar is modified through Zr-MOF and ferric salt, the porous structure and the specific surface area of the Zr-MOF modified magnetic straw biochar filler can be remarkably improved, the structural stability and the adsorption activity of the filler can be enhanced, refractory organic pollutants in a water body are efficiently removed, and soil pollutants are adsorbed and fixed.

The invention relates to the technical field of soil pollution treatment, in particular to a soil pollution treatment method and system, and the system comprises a treatment module which is used for treating polluted soil; the detection module is connected with the treatment module and comprises a pollutant concentration sensor for detecting the pollutant concentration of the soil; the flow guide adjusting module is connected with the treatment module and the detection module and used for determining the directional flow guide intensity of underground water according to the maximum difference quantity of the concentrations of the soil pollutants at equal intervals and equal depths; the putting adjustment module is connected with the treatment module, the detection module and the flow guide adjustment module and used for determining the putting concentration of the microbial nutrient according to the evaporation rate of the water in the soil within unit time; and the gas-water ratio adjusting module is used for determining the gas-water ratio of the soil pores according to the medicament concentration in the underground water. According to the invention, the treatment stability of soil pollution is improved.

The application discloses a kind of organic contaminated soil medium neutron quantitative inversion method of migration, system and medium, it is related to soil pollutant data inversion technical field, the method includes based on the first neutron transmission image sequence of target test sample of preset time window acquisition;First neutron transmission image sequence in each picture is sequentially preprocessed, multi-scale feature extraction obtains corresponding first multidimensional feature matrix;Wherein, first multidimensional feature matrix includes one or more of color space component feature map, gray attenuation mean feature map and image texture feature map;First multidimensional feature matrix is input into preset based on ViT's physical-data double-driven general inversion model and obtains the predicted value of the absolute mass concentration of organic pollutant per pixel;Based on the preset time window and corresponding predicted value obtains spatiotemporal evolution atlas.The application can improve the data precision and data reliability of the data inversion of soil pollutant migration.

The application discloses a soil pollution source analysis method and device, medium and equipment, and relates to the field of environmental science and technology. The application determines the median absolute deviation of the soil background content of the target pollutant in the soil environment background data, considers the uncertainty sources of the target pollutant in different concentration ranges according to the median absolute deviation and the concentration of the method detection limit of the target pollutant, comprehensively considers various uncertainty sources such as laboratory errors, chemical stability and sample uniformity of the target pollutant, constructs a perfect uncertainty calculation method system of spatial heterogeneity, ensures that the uncertainty of the target pollutant can be effectively quantified in various cases, provides a more robust input for the orthogonal matrix decomposition method in soil pollution source analysis, and thus improves the accuracy and reliability of soil pollutant source analysis.

The utility model provides a soil pollutant detection device which is characterized in that a detection device for detecting soil and an analyzer are arranged in a detection box, a plurality of placement grooves are formed in a box cover, an edge groove is formed in the side surface of the detection box, a sliding plate is arranged at the bottom of the edge groove in a sliding manner, a fixed box is arranged at the outer end of the sliding plate, and a beaker cylinder is arranged in the fixed box; a connecting plate is further arranged on the outer side of the fixed box, and the connecting plate can be clamped at the notch of the edge groove to seal the edge groove; a vibrating plate capable of vibrating is arranged at the bottom of the beaker cylinder and driven by a miniature vibrating motor, a top cover matched with the beaker cylinder is further arranged at the upper end of the beaker cylinder, a heating rod is arranged in the center of the top cover, and a power supply line of the heating rod is connected with a power supply of the detection box. One side of a detection box of the detection device is provided with a beaker cylinder for water bath heating and vibration dispersion, soil to be detected is directly put into a beaker after being crushed, and the beaker is put into the beaker cylinder for water bath heating and vibration dispersion.

The invention discloses a modifying agent and a modifying method for characteristic soil pollutants, and relates to the technical field of soil pollution abatement, the modifying agent comprises the following components: 20-50 parts of modified charcoal, 5-20 parts of a microbial agent, 10-30 parts of humic acid, 15-40 parts of sepiolite, and 5-15 parts of a marine bioactive substance compound. Through the synergistic effect, the bio-availability and mobility of heavy metal in soil can be remarkably reduced, the modified charcoal, sepiolite and other components in the modifier have rich pore structures and active functional groups, heavy metal ions can be effectively adsorbed and fixed, migration of the heavy metal ions in the soil is reduced, and meanwhile, the heavy metal ions in the soil can be effectively adsorbed and fixed. Humic acid and heavy metal ions generate complexation, the activity of the heavy metal is further reduced, in addition, the heavy metal ions are subjected to oxidation, reduction, methylation and other transformation through metabolic activity by the microbial agent, and the bioavailability of the heavy metal ions is reduced.

This invention discloses a soil pollutant analysis device for environmental monitoring, comprising: a sampling component including a movable support, a receiving platform mounted on the movable support, and a receiving vessel mounted on the receiving platform; a protective cover for protecting the receiving vessel is provided on the receiving platform; and a sampling component positioned between the movable support and the receiving platform; and an analysis component including a soil analysis module, a concentration detection analysis module, and an interval processing component disposed within the receiving vessel. The interval processing component performs simultaneous analysis on soil samples collected at different depths. The soil analysis module and the concentration detection analysis module perform simultaneous analysis on the soil. The analysis device is used to establish a detection model corresponding to the target pollutant based on the PXRF concentration and ICP-MS concentration of each of the M soil samples. The detection model reflects the mapping relationship between the ICP-MS concentration and the PXRF concentration.

The invention provides a soil pollution accumulation prediction method based on multi-factor dynamic driving, and the method comprises the steps: analyzing the driving capability of each potential driving factor for the accumulation characteristics of soil pollutants based on a geographic detector method, and recognizing a main driving factor and a factor combination with the cooperative enhancement driving capability; inputting the identified main driving factors into a BP neural network model for training, determining a weight coefficient and a threshold value between an input layer and an output layer through iterative learning, and establishing a pollutant accumulation prediction model; in combination with historical driving factor data and carbon neutralization policy scene parameters, correcting parameters in the prediction model and generating driving factor data of a year to be predicted; and performing time sequence processing on the driving factor data by using a sliding window analysis method, dynamically adjusting the weight coefficient and contribution rate of each factor, and identifying future main driving factors.

The application belongs to the technical field of soil pollutant identification, and discloses a soil pollutant type identification method and system, which comprises the following steps: acquiring multi-source soil data of a soil to be measured; determining the uncertainty corresponding to each data type according to the data type of the multi-source soil data, obtaining the confidence degree corresponding to each data type; extracting key features related to soil pollutant types, form transformation and soil physical and chemical properties from the multi-source soil data, obtaining multi-source key feature data; and identifying the pollutant type identification result of the soil to be measured based on the confidence degree and the multi-source key feature data. The pollutant type identification result of the soil to be measured is identified through the confidence degree corresponding to the uncertainty of each data type in the multi-source soil data and the multi-source key feature data related to soil pollutant types, form transformation and soil physical and chemical properties, thereby improving the identification efficiency of soil pollutant types.

The application provides a closed-loop optimization method for soil organic matter carbon cycle regulation and pollutant synergistic removal, and belongs to the technical field of environmental remediation based on machine learning; first, time series data of soil physicochemical properties, soil pollutant concentration, environmental meteorology and human control parameters of a target area are acquired to construct a data set; second, a soil carbon cycle-pollutant migration coupling prediction model is designed to obtain predicted values of soil organic matter content and pollutant concentration at a future time step; finally, a set of decision variables is established, a double-objective function and a hard constraint condition are set, the trained migration coupling prediction model is taken as an agent model to input a non-dominated sorting genetic algorithm for global optimization, and a Pareto front solution set is extracted; finally, an optimal control parameter combination is obtained through an approximate ideal solution sorting method; through the designed multi-objective closed-loop optimization strategy and the prediction model, high-precision joint prediction of soil organic matter dynamics and pollutant migration evolution is realized.

Disclosed in the present invention are a biochar-based alkali-activated containment material, a preparation method therefor, and the use thereof. The biochar-based alkali-activated containment material comprises 50-70% by mass of in-situ soil and 30-50% by mass of a cementitious material, wherein the cementitious material comprises an ash material and a composite alkali activator, and the composite alkali activator is obtained by ball milling activated magnesium oxide and biochar together. The biochar-based alkali-activated containment material of the present invention has better early compressive strength under a low cement-to-sand ratio and the 7d compressive strength thereof can reach 9.33 MPa; in addition, because of the presence of biochar, the containment material can better adsorb and trap soil contaminants and has better anti-seepage performance, and the permeability coefficient can reach 2.4×10-10 m / s. When being applied to rapid emergent containment for contaminated sites, the containment material can be quickly spread and quickly shape and achieve a lower seepage concentration of contaminants, thereby having a great application prospect.

The invention relates to the technical field of soil remediation, and discloses a soil remediation process and equipment based on pure mechanical energy, the soil remediation equipment based on pure mechanical energy comprises a remediation bin, a driving shaft is rotatably connected between the inner walls of the two ends of the remediation bin through a mounting base, and the outer wall of the driving shaft is fixedly sleeved with a protective shell; a plurality of groups of shifting teeth are fixed on the outer wall of the protective shell at equal intervals; through rotation of the material stirring teeth, the steel balls are stirred to violently collide with the soil in the remediation bin, high pressure and high temperature effects are generated instantly, strong impact energy and heat energy are formed, chemical bonds of organic pollutants in the soil are broken, pure mechanical treatment of the soil pollutants is achieved, and the remediation efficiency is improved. The problem of secondary pollution caused by chemical agent treatment is effectively avoided, harmless degradation of pollutants is realized, and the environmental protection effect is improved; and metal oxides generated on the surfaces of the steel balls due to friction are utilized to catalyze the decomposition of organic pollutants, so that the degradation efficiency is effectively improved.

The embodiment of the utility model provides a soil pollutant diffusion simulation device. The soil pollutant diffusion simulation device comprises a support frame, a leachate tank, a conveying pipeline, a sample tube and a liquid collection assembly, the sample tube is used for placing a soil sample; the leachate tank is arranged on the support frame and is used for storing leachate; the first end of the conveying pipeline is connected with the leachate tank, and the second end of the conveying pipeline is connected with the sample tube; a plurality of sampling holes are formed in the sample tube at intervals in the length direction of the sample tube, and the sampling holes are used for sampling in the pollutant diffusion process; the device further comprises a plurality of blocking pieces, and the blocking pieces are used for blocking the sampling holes corresponding to the blocking pieces after sampling is completed. The sampling holes are formed in the sample tube at intervals in the length direction of the sample tube, the sampling holes are used for sampling in the pollutant diffusion process, element concentration detection of pollutants in the soil sample diffusion process is achieved, and then element concentration measurement of the soil sample in the sample tube at different diffusion heights is achieved.

The invention discloses a remediation target region delimiting method and system based on three-dimensional diffusion data of soil pollutants, and relates to the technical field of soil pollutant analysis, and the method comprises the steps: extracting historical terrains, pollutant components, soil characteristics and diffusion data; constructing a three-dimensional pollutant diffusion model based on the historical terrain and the diffusion data; segmenting and intercepting topographic change features in the model to form historical pollutant diffusion segment groups, and screening matched historical segment groups by using real-time soil features and pollutant component data; and the pollutant diffusion boundary is predicted and updated by comparing the boundary cut point data with the reference segment group, and the latest boundary is used as a restoration target region. According to the method, through refined matching of historical and real-time data, the three-dimensional diffusion model and dynamic boundary updating are combined, accurate and efficient remediation target region delimitation is achieved, and the method is suitable for complex terrain soil pollution treatment.

The utility model relates to the technical field of separation and extraction, and provides a soil pollutant separation and extraction device which comprises a separation box and further comprises a mixing box fixedly connected to the top of the separation box. According to the utility model, the controller controls the motor to start, so that the output shaft of the motor drives the rotating rod and the stirring paddle to rotate, a soil sample and an extracting solution can be fully stirred and mixed, at the moment, the electromagnetic valve I is in a closed state, and after the soil sample and the extracting solution are uniformly mixed, the controller controls the electromagnetic valve I to open; a mixture of a soil sample and an extracting solution flows into the separating box through the communicating pipe and is precipitated in the separating box, so that the soil sample and the extracting solution are uniformly mixed without manually shaking the separating box, the process is time-saving and labor-saving, the mixing effect of the soil sample and the extracting solution is ensured, and the working efficiency is improved. Therefore, the effect of separating and extracting the soil micro-plastics is improved.