50 results about "Soil Pollutants" patented technology

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 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 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.

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 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 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 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.

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 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 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.

The present application relates to provide a kind of hydrothermal biomass graphene synergistic additive preparation method and test method of fungus, it is related to soil treatment technical field.The preparation method includes obtaining straw and excrement, and preparing biochar mixture;Hydrothermal biomass graphene is generated by hydrothermal reaction to biochar mixture and graphene particles;Moss ball sac fungus is used to prepare plant cluster root fungus liquid;Hydrothermal biomass graphene is mixed with plant cluster root fungus liquid, and additive is formed.It is mixed to form additive by hydrothermal biochar synergistic graphene and plant root fungus, both realize the treatment of soil pollutants, and reach the efficient resource utilization of biochar and graphene.

The application discloses a soil pollutant tracing analysis method based on multivariate statistical analysis and RAG, and relates to the technical field of environmental data analysis.The method comprises the following steps: collecting soil samples according to an industry standard and performing standardization pretreatment on pollutant concentration data; sequentially performing Spearman correlation analysis and principal component analysis (PCA) to extract pollutant correlation and contribution; constructing a similarity matrix and a contribution matrix and splicing to generate a pollutant feature matrix; based on the constructed literature vector knowledge base, using search enhancement to generate a RAG framework, combining statistical characteristics and text similarity to calculate a tracing score; generating a ternary group of 'pollutant-tracing score-literature' by the system, collating soil point sample metadata, and automatically generating an analysis result report according to a predetermined report template and providing the report to a user.

The present application relates to the technical field of environmental monitoring, and more particularly to a soil multi-element online monitoring method and system based on a wireless sensor network. The method periodically collects soil pollutant concentration data by deploying a sensor network and constructs a spatio-temporal data cube. The method identifies a pollution diffusion active area and calculates the pollutant input direction of each point to generate a direction field distribution map. Based on the direction field, the method reversely traces from a high concentration point to locate a pollution source point and draw a pollution diffusion path. The present application realizes real-time, multi-point synchronous monitoring of soil pollution conditions and can automatically and accurately trace the location of a pollution source and a diffusion path, thereby improving the efficiency and accuracy of pollution source analysis.

The invention discloses a volatile soil pollutant detection method and device, and the method comprises the steps: selecting a rectangular region as a measurement region of pollutants in soil, and laying a plurality of measurement points in the measurement region; the measuring area comprises a polluted area and an unpolluted area; starting from a preset measurement starting point, sequentially passing through each measurement point in the measurement area, and finally reaching a preset measurement ending point to obtain a measurement point route; acquiring resistivity data of each measuring point acquired by the electromagnetic instrument along the measuring point route, and drawing isoline plane images of the polluted area and the unpolluted area at different depths based on the resistivity data of each measuring point; and comparing the resistivity data of the measuring points in the polluted area and the non-polluted area respectively, and judging the pollutant distribution condition in combination with the isoline plane image. According to the invention, the distribution condition of volatile pollutants in soil can be detected, and a basis is provided for risk management and control of pollutants.

The invention provides a method and a kit for synchronously detecting microplastics and nitrogen in the same part of soil, and belongs to the technical field of soil pollutant detection. The method comprises the following steps: carrying out enzymolysis on a soil sample by adopting a protease K solution and cellulase, mixing an obtained enzymolysis reaction product with an H2O2 solution, and reacting to obtain a digested mixture; the method provided by the invention adopts a'mild and directional 'organic matter digestion strategy to ensure that the form and content of native nitrogen in the soil sample are reserved to the maximum extent while the micro-plastics are completely extracted, so that the accuracy of detecting the content of the micro-plastics and the content of the nitrogen in the same part of soil is high, and the accuracy of detecting the content of the nitrogen in the same part of soil is high. According to the method, the same soil sample is used for detection from beginning to end, the method for accurately and synchronously analyzing the micro-plastic and the nitrogen element is finally realized through an integrated pretreatment process, and compared with two sets of independent micro-plastic and nitrogen element analysis methods in a traditional method, the method disclosed by the invention is simpler.

The application discloses a soybean origin soil composite pollution micro-ecological risk assessment method and system, and belongs to the technical field of agricultural environment monitoring. By acquiring soil pollutant data and microbial community data, risk entropy is calculated, a micro-ecological health index is constructed, a first result and a second result are respectively obtained by using a risk assessment neural network and a comprehensive model combining principal component analysis, a clustering algorithm and a predator optimization algorithm, and finally a risk grade and a high-risk pollutant are determined after verification by a key factor matching and a weighted correction mechanism. The application solves the problems of single evaluation dimension and insufficient dynamic adaptability, realizes accurate diagnosis and risk early warning of soil composite pollution through multi-source data fusion and multi-method cooperation, improves evaluation accuracy and decision efficiency, and provides technical support for soybean origin soil micro-ecological risk control and sustainable agricultural development.

The present invention relates to the technical field of soil pollutant treatment, specifically to a method for preparing a bacterial colony composite purifying agent for synergistically treating PAEs and Cd. This method includes steps of preparing a functional bacterial colony, preparing a bacterial colony carrier, and preparing a bacterial colony composite purifying agent. The composite purifying agent designed by the present invention not only has broad degradability for PAEs by domesticating functional bacterial colonies to be cadmium-resistant, but can also overcome the problem that the degradation efficiency of a single functional bacterial strain decreases under heavy metal Cd pollution stress in composite polluted soil. In addition, the composite purifying agent designed by the present invention is modified by mercapto and has excellent immobilization effects on heavy metals such as cadmium, and can achieve the effect of synchronously removing PAEs and Cd in soil under the cooperation of functional bacterial colonies. Regarding a method for preparing a bacterial colony composite purifying agent for synergistically treating PAEs and Cd, this method includes steps of preparing a functional bacterial colony, preparing a bacterial colony carrier, and preparing a bacterial colony composite purifying agent. The steps of preparing a functional bacterial colony, preparing a bacterial colony carrier, and preparing a bacterial colony composite purifying agent. The composite purifying agent designed by the present invention domesticates functional bacterial colonies to be cadmium-resistant, so that it not only has broad degradability for PAEs, but also can overcome the problem that the degradation efficiency of a single functional bacterial strain decreases under heavy metal Cd pollution stress in composite polluted soil. In addition, the composite purifying agent designed by the present invention is modified by mercapto and has excellent immobilization effects on heavy metals such as cadmium. Under the cooperation of functional bacterial colonies, it can achieve the effect of synchronously removing PAEs and Cd in soil. The composite purifying agent designed by the present invention is modified by mercapto and has excellent immobilization effects on heavy metals such as cadmium. Under the cooperation of functional bacterial colonies, it can achieve the effect of synchronously removing PAEs and Cd in soil. It can achieve the effect of synchronously removing PAEs and Cd in soil.

According to the Escherichia coli engineering strain with enhanced athletic ability and the construction method and application thereof, wild Escherichia coli MG1655 is taken as a transformation starting point, and expression of flagellum power regulation protein CheZ is specifically enhanced, so that the chemotactic athletic ability of the strain is remarkably enhanced, the migration range of the transformed strain on a soft agar plate is expanded compared with that of the wild Escherichia coli MG1655, and the activity of the transformed strain on the soft agar plate is improved. And the rapid growth characteristic of the original host is maintained. The strain can break through the space motion limitation of traditional microorganisms in soil remediation, achieves targeted migration of deep soil pollutants, and is suitable for efficient bioremediation of heavy metal and organic pollutants in a heterogeneous soil environment.

The invention discloses an urban soil pollution degree detection method, particularly relates to the technical field of soil detection, and comprises a sampling area division stage, a sampling stage, a soil pollutant content analysis stage and a data processing stage. The sampling area division stage is used for performing detailed area division according to different use purposes of local soil, performing soil sampling by adopting a snakelike point distribution sampling method, and detecting types and corresponding contents of pollutants in the soil by adopting physical and chemical means; the soil pollution index and the comprehensive pollution degree are calculated according to the detected data, the pollution degree is divided into five levels, and finally the urban soil pollution degree is obtained.By detecting the content of the pollutants in the soil and calculating and dividing the soil pollution index, the urban soil pollution degree can be known more visually, and the urban soil pollution degree can be obtained more accurately. And the environmental awareness of people is improved.

The application discloses a kind of field scale soil pollutant migration simulation system and method, it is related to soil pollutant migration simulation technical field, including the following steps: based on target field construction with multiple grid units pollutant colloidal co-migration initial model, and initial parameter set is distributed to each grid unit;Soil in-situ monitoring data of target field are acquired, and preprocessing is carried out to obtain ion intensity data of soil solution and ion acid-base field data covering target field;Based on ion acid-base field data, the first risk probability of each grid unit in future period is calculated to occur colloidal release possibility.The application accurately locates the core high-risk area of pollutant colloidal co-migration in the whole field, determines the key range of data assimilation, effectively avoids the disadvantages of indiscriminate correction in the whole area, ensures that the limited observation resources and computing resources are focused on the high-weight area, and effectively improves the efficiency and accuracy of data assimilation.

The invention relates to the technical field of soil pollutant detection, in particular to a mulching film source microplastic-arsenic combined pollution earthworm exposure simulation and in-vivo enrichment dynamic monitoring device and a method thereof.The mulching film source microplastic-arsenic combined pollution earthworm exposure simulation and in-vivo enrichment dynamic monitoring device comprises a soil filling mechanism, a sampling box and a plurality of experiment cups placed in the sampling box; the soil filling mechanism comprises a mixing tank and a compaction part arranged on the left side of the mixing tank. According to the mulch film source microplastic-arsenic combined pollution earthworm exposure simulation and in-vivo enrichment dynamic monitoring device and method, the soil filling mechanism integrates the functions of mixing, quantitative subpackaging and compaction, and the mixing tank realizes efficient and uniform mixing of pollutants and soil in a closed space; the soil is accurately and quantitatively conveyed to each experiment cup through a reverse rotation mode, and uniform pressure is applied to the soil along with a compaction part behind the soil, so that the problems of non-uniform soil mixing, inconsistent filling volume and different compaction degrees caused by traditional manual operation are fundamentally solved.

The invention discloses a soil pollutant migration and transformation simulation experiment device which structurally comprises a nozzle, a pipeline, a reciprocating pump, a soil column, a base and a sampling port, the nozzle and the reciprocating pump are mounted above the pipeline and are in clearance fit above the soil column, and the sampling port is connected to the outside of the soil column; a conversion assembly is arranged on the spray orifice plate, the conversion assembly is matched with the spray orifice plate in the body, when water flow is impacted and atomized into tiny liquid drops, the liquid drops will directionally surge to the spray orifice plate, the conversion assembly is pushed in advance to be opened and closed on the spray orifice plate in a reciprocating mode, and the direction and the size of water mist entering the spray orifice plate are changed. The release strength and the spraying range of the water mist can be conveniently adjusted, the water mist can be uniformly sprayed above a soil column, and the simulation experiment capability of the device on migration and transformation of soil pollutants is ensured.

The invention provides an efficient data statistical processing method, and belongs to the technical field of soil environment monitoring data processing. The method comprises the following steps: cleaning detected soil pollutant concentration original data, and calculating a multi-dimensional quantitative index of an abnormal value; an improved analytic hierarchy process (AHP) is adopted to determine the weight of the multi-dimensional quantitative index; based on the multi-dimensional quantitative indexes and the corresponding weights, a comprehensive scoring formula is constructed, an abnormal value comprehensive score is calculated through the comprehensive scoring formula, and the comprehensive scoring formula comprises a concentration non-negativity punishment mechanism; classifying abnormal value grades according to the comprehensive score; executing corresponding processing strategies for different abnormal value levels; and outputting a traceable report containing abnormal value basic information, an index calculation process, an abnormal level judgment result and a processing record. According to the method, the problems that an existing method is single in abnormal value processing mode, poor in weight adaptability and free of a quantitative grading system are solved, and the accuracy of abnormal value grading and the refinement degree of data processing are improved.

The invention provides modified corn straw biochar as well as a preparation method and application thereof, and relates to the technical field of new pollutant treatment. The preparation method of the modified corn straw biochar comprises the following steps: mixing corn straw biochar powder with water to obtain a biochar suspension, adding a precursor into the biochar suspension, adjusting the pH value to 11-12 by using a sodium hydroxide solution, filtering to obtain an iron-manganese hydroxide precipitate, washing, drying and carbonizing to obtain the modified corn straw biochar. The modified corn straw biochar prepared by the preparation method disclosed by the invention can efficiently and stably adsorb sulfamethoxazole pollutants in soil, firmly bind sulfamethoxazole in situ, prevent the sulfamethoxazole from migrating and improve the bioavailability of the sulfamethoxazole. The invention provides a technical direction for safely and efficiently removing soil pollutants with low adsorbability and strong mobility in soil.

The invention presents a method for analyzing soil contamination by pollutants, particularly organic pollutants, by hyperspectral analysis of reflection and / or photoluminescence, characterized in that said analysis is carried out with a first piece of equipment by illuminating a sample with a light source and with at least one spectral sensor sensitive to a spectrum ranging from thermal infrared to ultraviolet. Abstract figure: 2