728 results about "Pollution soil" patented technology

The invention discloses a composite interference-oriented cultivated land system toughness evaluation and optimization method, and relates to the technical field of cultivated land toughness optimization, and the method comprises the steps: collecting and preprocessing multi-source cultivated land data, constructing a toughness evaluation index system, and calculating the weight of each index; and calculating a comprehensive toughness score based on weight distribution, drawing a time sequence change curve based on the score, and performing region division to generate a toughness distribution diagram. According to the method, the single-factor pollution index, the Nemo comprehensive index and the interaction effect index of heavy metal pollution are combined, the soil pollution condition is accurately quantified through a weighted summation method, a scientific and reliable basis is provided for toughness evaluation, the dynamic toughness distribution diagram is generated in combination with the LSTM model and the GIS technology, the spatio-temporal dynamic characteristics of a cultivated land system under composite interference are revealed, and the method has the advantages of being high in reliability and high in reliability. According to the method, the defects of an existing model in space-time analysis are overcome, differentiated optimization strategies are formulated based on region division and weak region labeling, and the resource allocation efficiency and the pertinence of an optimization scheme are remarkably improved.

The invention discloses a machine learning-based soil pollution risk assessment method and a machine learning-based soil pollution risk assessment device, and belongs to the technical field of soil pollution risk assessment. The split biological effect and chemical indexes in traditional evaluation are converted into unified risk driving force measurement. A nonlinear interaction entropy calculation mechanism can adaptively capture an antagonism-collaborative balance relationship between microbial communities and pollutants in a soil environment, so that the degradation potential of functional flora on specific pollutants is reflected, and the dynamic regulation effect of environmental factor fluctuation on bioavailability is quantified. According to the cross-scale feature fusion technology, the evaluation model not only can identify the current pollution space distribution, but also can pre-judge the morphological transformation trend of pollutants in biogeochemical circulation, and provides a quantitative basis with ecological interpretation for risk early warning.

The invention relates to the technical field of soil pollution identification, and discloses a soil heavy metal pollution identification system. A multispectral remote sensing sensing module of the system obtains surface reflectance data and soil in-situ spectral data through a satellite load and a vehicle-mounted mobile platform respectively, and the surface reflectance data and the soil in-situ spectral data are processed by a heterogeneous data fusion gateway to generate multiband spectral response signals. In the pollution risk assessment module, a spatial distribution analysis unit outputs a heavy metal spatial distribution map, a migration risk prediction unit generates a pollution migration probability cloud map in combination with meteorological and hydrological data, and a pollution threshold defining unit outputs a soil remediation safety threshold. In the treatment decision execution module, an in-situ remediation execution unit adjusts passivator injection parameters, a pollution source management and control unit regulates pollution source blocking equipment and collects monitoring signals, and a three-dimensional dynamic early warning platform generates a comprehensive pollution risk index. According to the system, the cooperative operation of soil heavy metal pollution identification, evaluation and treatment is realized.

The invention relates to the technical field of soil pollution component analysis, and discloses an agricultural soil pollution prediction method. The method comprises the following steps: carrying out soil physicochemical property detection through layered gridding sampling, determining the heavy metal content, the organic matter content and the enzyme activity, and obtaining a pollution characteristic data set; monitoring diffusion characteristics of pollutants by adopting an electrochemical sensing detection array, and generating a migration rule model; a multi-parameter monitoring system is used for detecting the pH value, the oxidation-reduction potential and the ion activity, and a dynamic change sequence is formed; establishing a colloid interface action response matrix, and constructing a pollutant accumulation model; determining the occurrence form and the ion concentration of the pollutants, and generating an interaction map; and finally, constructing an early warning system, and outputting a prevention and control scheme. According to the invention, through cooperative application of multiple analysis and test means, and in combination with interface action mechanism research of pollutants in soil, whole-process intelligent monitoring of soil pollution prediction is realized.

The invention relates to the technical field of soil monitoring, in particular to a soil-groundwater pollution risk threshold dynamic adjustment method and system based on an environment model, and the method comprises the steps: collecting soil and groundwater monitoring data, constructing an environment model containing the soil pollution concentration, the groundwater pollution concentration and the pollutant migration rate, obtaining comprehensive pollution characteristic data, extracting main characteristics, and determining the contribution degree of each characteristic to risk assessment; calculating the initial weight of each feature according to the contribution degree, and obtaining a weight distribution scheme; calculating pollution risk values of the soil and the underground water in combination with the pollution load data and the weight values, and preliminarily setting a risk threshold value; monitoring pollutant concentration fluctuation data in real time, predicting a pollutant migration trend through a time sequence analysis algorithm, and obtaining a risk change prediction result; and combining the risk change prediction result and the environmental capacity constraint optimization risk threshold to obtain a dynamically adjusted risk threshold. According to the invention, accurate extraction of pollution characteristics and dynamic adjustment of weights are realized.

The invention discloses a soil environment data acquisition and analysis monitoring system for preventing and controlling soil pollution, and belongs to the technical field of environment monitoring. Comprising a soil environment data acquisition module, a data preprocessing module, a feature extraction and analysis module, a model training and prediction module, a visualization and decision support module, a data sharing and collaborative management module, a soil environment archive management module and a soil environment database. According to the invention, comprehensive acquisition of soil environment data is realized, and multiple links of multi-layer soil, underground water, atmospheric environment and biological monitoring are covered; through data cleaning, correction and fusion, the quality and consistency of the data are ensured; comprehensive analysis of the soil environment is realized through feature extraction and model training; through the data sharing and collaborative management module, the collaboration and effectiveness of soil pollution prevention and control work are improved; through the soil environment file management module, various data in the soil environment pollution prevention and control process are managed in a unified mode, and a user can search and manage the data conveniently.

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

The embodiment of the invention discloses a causal relationship-based soil pollution tracing method, equipment and medium, and the method comprises the steps: obtaining the soil pollutant concentration detection data of a to-be-traced region, and the data of two emission sources of enterprises and traffic; performing positive matrix factorization on the detection data, and determining contribution of each hidden pollution source to each pollutant; determining at least one pollutant which is contributed by each hidden pollution source and is associated with the enterprise and / or traffic as at least one target pollutant to be traced; aiming at each type of target pollutants, through emission list spatialization and GCCM causal analysis, the causal relationship and the significance degree of the enterprise and the traffic and the target pollutants are verified respectively; and according to a verification result, carrying out auxiliary decision on the preferentially controlled blocks in the region and the types of pollutants and emission sources preferentially controlled by each block. According to the embodiment of the invention, accurate tracing of soil pollution in a complex environment can be realized.

The invention discloses a soil pollution accurate positioning method based on a geophysical exploration technology. The method comprises the following steps: S1, analyzing geologic features of a research area: analyzing the geologic features of the research area; s2, constructing a geological model; s3, measuring line arrangement and data acquisition; s4, data processing: obtaining a two-dimensional resistivity and polarizability image and an internal structure image of ground penetrating radar data by adopting least square inversion, training an anomalous body recognition model by utilizing a convolutional neural network, automatically recognizing anomalous body features in ERT and GPR data, and automatically screening out potential pollution areas; s5, data explanation: performing comprehensive analysis on inversion results of ERT and GPR, constructing an intelligent explanation model, automatically adjusting explanation parameters by the intelligent explanation model according to data features, and providing a plurality of explanation schemes; and S6, establishing a three-dimensional electrical structure model: establishing the three-dimensional electrical structure model of the research area by adopting a Kriging interpolation method according to the ERT inversion result and the earth surface coordinate data.

The invention relates to the technical field of environment-friendly additives, and discloses an environment-friendly additive for soil pollution remediation and an application method thereof.The environment-friendly additive is prepared from 5-20 parts of nano zero-valent iron, 2-15 parts of a nano carbon material and 3-18 parts of a nano mineral composite material; 5-25 parts of biochar, 2-10 parts of microbial flora and 1-10 parts of a plant source extract; 1-8 parts of a pH responsive material; 2-10 parts of a microcapsule material; the particle size range of the nanoscale zero-valent iron is 10-100 nm, and SiO2 or C is coated on the surface of the nanoscale zero-valent iron; the nano carbon material is selected from activated carbon nanoparticles, graphene and carbon nanotubes. The carbon-coated nano zero-valent iron is adopted, so that the technical effects of improving the oxidation resistance of the material and prolonging the active life are achieved. Compared with a traditional technical scheme without coating nZVI, the problems that the composite material is prone to oxidation inactivation and insufficient in long-term repair capacity are solved, and the composite material has more stable heavy metal removal performance in a complex environment.

The invention relates to a multilevel ecological risk assessment method and device for soil pollution, and belongs to the technical field of soil pollution risk assessment, and the method comprises the following steps: carrying out hazard identification: collecting and analyzing source-path-sink information of soil pollution, and carrying out risk screening when the risk exists through assessment; performing risk probability quantification on the optimal control pollutants, quantifying the risk probability by establishing a joint probability curve, and performing risk causal relationship judgment on the optimal control pollutants by evaluating the existence of the risk; and determining statistical causal association of pollution-ecological effect, obtaining a risk conclusion and other risk results of each level, and ending evaluation. The invention provides a multi-level progressive ecological risk assessment method, a soil pollution ecological risk conclusion with local representativeness and ecological robustness is formed, and safe utilization of a site soil ecological environment is guaranteed.

The invention relates to the technical field of soil pollution detection, and discloses a soil pollution assessment method and system based on artificial intelligence. The artificial intelligence-based soil pollution assessment method comprises the following steps: step S101, determining a sensitive wave band and a contribution degree value of a pollutant; s102, judging whether the pollutants are included in a pollutant list or not according to the second characteristic value; step S103, constructing an incidence matrix; step S104, correcting the hyperspectral data of the pollutants in the pollutant list; step S105, obtaining the concentration of the pollutants through the pollutant concentration prediction model; and S106, judging whether the soil is polluted or not according to the comprehensive pollution index. According to the method, the enhanced absorption effect between the pollutants is converted into incidence matrix representation by utilizing the characteristics of the sensitive wave bands of the pollutants in the hyperspectral data, and the precision of pollutant concentration measurement is improved by utilizing the nonlinear learning capability of the pollutant concentration prediction model.

The invention relates to the technical field of environmental pollution remediation, in particular to a refuse landfill coupling contaminated soil remote remediation system and method. The method comprises the following steps: carrying out deep stratified sampling and soil sample characteristic classification on a remotely repaired polluted soil heap to obtain remotely repaired soil samples corresponding to different pollution types; purified biogas is obtained to serve as a heat source for organic pollution desorption and conversion and solidification and stabilization coupling remediation, and a soil sample containing heavy metal after solidification and stabilization remediation is generated; carrying out chemical environmental assessment analysis and cyclic remediation treatment on the soil sample containing the heavy metals after solidification and stabilization remediation to generate a soil sample after organic pollution and heavy metal remediation; and carrying out fly ash landfill and reutilization on the soil sample subjected to organic pollution and heavy metal remediation to generate the remedied remote fly ash landfill and reutilization soil. Refuse landfill resources and remote polluted soil remediation can be combined to realize corresponding soil recycling.

The invention belongs to the technical field of biochar oxygen-releasing materials, and particularly relates to a biochar-based oxygen-releasing material for gleying soil improvement as well as a preparation method and application of the biochar-based oxygen-releasing material. The biochar-based oxygen release material is a CaO2 at phosphorus-rich biochar material obtained by taking modified phosphorus-rich biochar as a carrier and combining with calcium peroxide, and has remarkable beneficial effects in the field of gleying rice field improvement. According to the biochar-based oxygen release material, the mass fraction of calcium peroxide is remarkably increased, so that the oxygen release function of the material is enhanced, and the biochar-based oxygen release material has important significance for improving the ventilation condition of a rice field and promoting the growth of a rice root system. In the preparation process, raw materials such as dimethylbenzene and polyethylene which may cause soil pollution and ecological problems are avoided, and the environment-friendly concept is embodied. Meanwhile, the modified biochar not only serves as a carrier to improve the loading capacity of calcium peroxide, but also has the function of releasing a phosphate fertilizer, and is beneficial to improvement of the soil fertility of the rice field and increase of the rice yield.

The invention relates to the technical field of soil pollution detection, in particular to a soil pollution real-time detection and analysis method and system based on spectral analysis, and the system comprises a soil pollution detection platform, a soil database, a regional pollution division unit, a sample check analysis unit, a regional identification analysis unit, a pollution diffusion analysis unit and a display response unit. Analysis is carried out from two points of an unmanned aerial vehicle hyperspectral technology and a sample collection and detection technology, namely, regional pollution division feedback analysis is carried out on a spectral feature image to judge whether a heavy metal pollution area exists in a target soil area or not and the pollution degree condition, and regional pollution matching check analysis is carried out on sample parameters to judge whether the target soil area has a heavy metal pollution area or not. According to the method, the unmanned aerial vehicle hyperspectral detection can be checked and fed back through sample experiment detection, and whether the two types of detection are consistent or not can be visually known through an information feedback display mode, so that the availability of a detection result is ensured.

The invention discloses a method and a device for treating soil heavy metal pollutants by an electroosmosis technology, and relates to the technical field of soil pollution treatment and remediation, and the method comprises the following steps: constructing an electroosmosis system, a liquid injection system and a pumping drainage system; liquid injection and pumping drainage are conducted, electroosmosis enhancer liquid medicine is injected into the soil, and meanwhile the liquid is pumped drainage till the concentration of the electroosmosis enhancer in the pumped drainage liquid reaches the preset requirement; soaking and electroosmosis are carried out; sampling detection is conducted, and liquid pumping sampling is conducted on the soil in the to-be-treated area till the pollutant residual concentration meets the preset requirement; water injection and pumping drainage are conducted, clear water is injected into the soil, meanwhile, liquid is pumped drainage, and soil treatment is finished until the concentration of the electroosmosis enhancer in the pumped drainage liquid is smaller than or equal to the preset concentration limit value. According to the method, a proper amount of electroosmosis enhancer liquid medicine is injected, heavy metal pollutants are dissociated through the electroosmosis effect and pumped and discharged to the hazardous waste pool, and heavy metal in soil is efficiently and reliably reduced.

The invention relates to the technical field of soil remediation, and provides a soil pollution remediation process which comprises the following steps: distributing points in grids of an area to be remediated, measuring the content of heavy metals and the concentration of organic pollutants, applying multi-frequency microwave radiation, synchronously applying ultrasonic treatment, and injecting a complex microbial inoculant containing sphingomonas, aspergillus niger spores and a nitrogen and phosphorus nutrient solution. A direct-current electric field is applied, pH, oxidation-reduction potential Eh and temperature parameters are monitored and measured in real time through an embedded sensor, a repair by-product recovery system is arranged, the purity of recovered metal is not lower than 98%, and mobile repair equipment is used in a matched mode. According to the method, the pollution degree is accurately quantified by constructing the pollution index PI, and dynamic regulation and repair are realized in combination with real-time monitoring parameters of a sensor. The pollutant removal efficiency is improved through the synergistic effect of multiple technologies, metal resource recovery is achieved through a repair by-product recovery system, traditional problems are solved, and efficient and environment-friendly repair is achieved.

The invention discloses a method for comprehensively treating zinc-containing sulfuric acid slag and blast furnace cloth bag ash, which comprises the following steps of: uniformly mixing the zinc-containing sulfuric acid slag, the blast furnace cloth bag ash, a calcium additive and a carbonaceous reducing agent according to the weight ratio of 10: (3-5): (2.5-4): (1.5-3); smoke dust generated by roasting is subjected to oxidation dust removal, cooling separation and desulfurization treatment, and zinc-containing oxide, sulfuric acid and sulfite are obtained; and cooling the roasted material with water, crushing and grinding, and sequentially carrying out high-intensity magnetic separation and low-intensity magnetic separation to obtain high-valued reduced iron powder. The final iron grade can reach 95% or above, and the content of sulfur and zinc is lower than 0.1%. According to the method, the industrial solid waste sulfuric acid slag and the blast furnace cloth bag ash can be converted into the high-valued reduced iron powder, comprehensive recycling of resources is achieved, and environmental and soil pollution caused by stacking is avoided.

The invention relates to the technical field of soil remediation, and discloses a garden soil pollution remediation device which comprises a supporting seat, the top of the supporting seat is fixedly connected with a material tank, the inner wall of the supporting seat is fixedly connected with a motor, the top of the supporting seat is fixedly connected with a waste gas tank, a heating mechanism is arranged in the material tank, and a stirring mechanism is arranged in the material tank. A cleaning mechanism is arranged in the material tank, a heating rod and a heat conduction circular ring move up and down in a reciprocating mode, soil at different depths in the material tank can be heated, the soil in the material tank is evenly heated, the heating speed of the soil is increased, the soil temperature can be increased through soil heating, and therefore dissolving and releasing of some heavy metal in the soil are accelerated; the remediation efficiency of the device on the contaminated soil can be improved, and the soil remediation cost of the device can be saved through indirect outflow of the catalyst.

The invention provides a soil pollution intelligent monitoring and early warning method based on coupling of source accurate prevention and control and enhanced natural restoration, and relates to the technical field of pollution hidden danger investigation and source tracing. According to the method, toxic and harmful substances are identified through data collection, interview and reconnaissance, a key monitoring list is constructed, troubleshooting and leakage detection are carried out, hidden danger judgment and grading are completed, a rectification strategy is matched to generate a bioremediation scheme, biological agent injection or biological pile construction is carried out on a remediation area, and remediation effect evaluation is carried out. And setting monitoring factors and arranging monitoring point positions after the restoration reaches the standard, collecting monitoring data and inputting the monitoring data into a monitoring and early warning system, and realizing abnormal alarm through threshold triggering. According to the method, a closed-loop process from source identification, restoration implementation to long-term monitoring is constructed, and the accuracy and early warning efficiency of pollution treatment are improved.

The invention discloses a soil pollution diffusion prediction method based on differential evolution, and relates to the technical field of soil pollution control, and the method comprises the steps of collecting soil sensing data in real time, and uploading the soil sensing data to a data center. Real-time sensing data are compared and calibrated, sensing data errors caused by environmental factors are effectively reduced, data input into a model are more accurate and reliable, meanwhile, model parameters are optimized and solved by combining differential evolution and a particle swarm optimization algorithm, the differential evolution is used for global optimization to find a proper parameter combination, and the accuracy of the model parameters is improved. Particle swarm optimization performs local fine adjustment based on a differential evolution result, and the two are alternately performed, so that the accuracy of soil pollution diffusion prediction is greatly improved, the diffusion trend of pollutants in soil can be more accurately grasped, and a more reliable basis is provided for ecological environment management and human health protection.

The invention discloses a soil remediation device for water and soil conservation and a remediation method thereof, and relates to the technical field of soil remediation, the soil remediation device comprises a first supporting plate, first wheels are rotationally connected to the two sides of the first supporting plate, a rotating rod is rotationally connected to the bottom of the first supporting plate, and second wheels are fixedly connected to the two ends of the rotating rod; a pesticide storage box is fixedly connected to the upper portion of the first supporting plate, a repairing assembly is arranged on the first supporting plate and comprises a threaded rod movably connected to the outer side of the first supporting plate, a plurality of V-shaped plates and a pesticide spraying pipe, the V-shaped plates and the pesticide spraying pipe are fixedly connected to the outer side of the first supporting plate, and the threaded rod rotates to drive the V-shaped plates and the pesticide spraying pipe to conduct depth adjustment; and the remediation liquid is sprayed to soil of different depths through the pesticide spraying pipe, the remediation liquid sprayed out of the pesticide spraying pipe is used for remediation of the soil of different depths through the remediation assembly, and accurate remediation is effectively carried out for soil pollution of different layers.

The invention relates to the technical field of agricultural planting, in particular to a method for preventing and treating watermelon fusarium wilt by using a green bactericide, which comprises the following steps: preparing the green bactericide which comprises the following components in percentage by mass: 18-25% of composite plant source active component consisting of water lettuce extract, enteromorpha polysaccharide and field horsetail flavone; 20%-30% of an antagonistic bacterium compound preparation, wherein the antagonistic bacterium compound preparation comprises bacillus pumilus and trichoderma; 38%-45% of a nano-carrier, wherein a chitosan-sodium alginate compound is used as an embedding material; and the balance of auxiliary components. Applying the green bactericide to watermelon plants; through component optimization and a synergistic effect, compared with the prior art, the composition has the remarkable advantages that the safety is high, all the components are from natural plants or microorganisms, no chemical pesticide residue exists, the composition is healthy to human bodies and environmentally friendly, and the problems of drug resistance and soil pollution caused by chemical agents can be avoided.

The invention relates to the technical field of soil pollution monitoring, and discloses a farmland soil heavy metal ecological risk assessment method and system, and the system comprises a multi-source collaborative collection module, a dynamic risk assessment module, a climate-driven correction module and a risk prediction execution module. A multi-dimensional dynamic parameter set is generated by constructing a soil-crop-microorganism collaborative collection mechanism, and systematicness and integrity of pollution data are guaranteed; meanwhile, based on heavy metal spatial distribution modeling, a three-dimensional pollution pattern is analyzed in real time, and a combination mode of deep migration risk and table enrichment characteristics is identified, so that the system can overcome the defect of insufficient sampling depth in the prior art, the accuracy of pollution source identification and risk boundary is improved, and the reliability of an evaluation result is enhanced. A dual-drive model is constructed by fusing historical climate parameters and rotation parameters, and risk early warning and prevention strategy dynamic adjustment in a climate sudden change scene are realized.

The invention relates to the field of soil pollution treatment, and discloses a preparation method and application of a composite soil conditioner capable of improving the carbon sequestration effect, and the preparation method of the soil conditioner comprises the following steps: step A, preparing biochar; step B, preparing biochar microalgae particles; step C, preparation of oyster shell powder; d, coating particles to obtain an inner-layer soil conditioner and an outer-layer soil conditioner; the soil conditioner comprises an inner layer and an outer layer which are formed by adhesion of auxiliary materials, the inner layer comprises microalgae particles enriched and recycled by charcoal and can improve acid soil for a long time and provide organic matter and nitrogen and phosphorus nutrition, and the outer layer comprises roasted oyster shell powder and is rapid in soil acidity adjustment and capable of providing calcium salt. The composite soil conditioner has a synergistic effect of various materials, can be rapidly and slowly combined, can effectively improve acid soil, passivate soil heavy metals, provide organic matters, calcium, nitrogen, phosphorus and other nutritive salts for a relatively long time, improve the nutritional quality of vegetables and improve the carbon sequestration effect of soil, and has relatively good comprehensive benefits.

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 belongs to the technical field of heavy metal soil pollution remediation, and particularly relates to a heavy metal tolerant bacterial strain and application thereof, the bacterial strain is named as Proteus mirabilis D2 and has been preserved in Guangdong Microbial Culture Collection Center on December 04, 2024, and the preservation number is GDMCC No: 65293. According to the invention, effective reduction of biotoxicity of culturable proteus mirabilis (P.mirabilis D2) with heavy metal tolerance and MICP functions on soil polluted by high cadmium, lead and zinc is realized, and corresponding parameters of technical application are determined.

The invention provides a heavy metal pollution inversion method and system based on a hyperspectral imaging technology, and relates to the technical field of environmental monitoring and remote sensing, and the method comprises the following steps: 1, employing a hyperspectral imaging device to collect hyperspectral data of soil in a target area; step 2, preprocessing the acquired hyperspectral data; step 3, carrying out characteristic wave band screening on the spectral data, and extracting key spectral wave bands related to soil heavy metal pollution; step 4, in combination with actually measured soil heavy metal concentration data, establishing a soil heavy metal pollution prediction model by adopting a machine learning algorithm, and optimizing hyper-parameters; and 5, evaluating the performance of the model by using a cross validation method so as to ensure the prediction precision. The method has the characteristics of high efficiency, accuracy and high adaptability, can be widely applied to the fields of agricultural environment monitoring, industrial pollution site evaluation, mining area treatment and the like, and provides an accurate and convenient technical means for soil pollution monitoring.

The invention provides an ecological risk assessment method and system for heavy metal contaminated soil, and relates to the technical field of soil pollution treatment. The method comprises the following steps: acquiring a soil sample set of a target area; constructing a space grid model of the target area according to the soil sample set; determining a comprehensive pollution index of the grid unit according to the concentration distribution information of the heavy metal; performing time sequence analysis on the space grid model, and predicting the dynamic migration trend of the heavy metal concentration corresponding to the grid unit; determining exposure threshold values of different ecological receptors in the grid units, and generating an ecological risk thermodynamic diagram of the target area according to the comprehensive pollution index, the dynamic migration trend and the exposure threshold values; and determining a risk position and a safety position from the target area according to the ecological risk thermodynamic diagram and a preset threshold value. Therefore, according to the scheme, the ecological risk of the target area can be evaluated more comprehensively and accurately, and the accuracy and reliability of risk evaluation are greatly improved.

The invention discloses a compound microbial organic fertilizer and a preparation method thereof, and belongs to the technical field of compound microbial organic fertilizers. The compound microbial organic fertilizer is prepared from the following raw materials in parts by weight: 8-12 parts of a microbial agent, 30-35 parts of livestock and poultry manure, 20-25 parts of crop straws, 10-15 parts of humic acid, 10-12 parts of bagasse carbon, 3-5 parts of rumen bypass fat powder, 3-5 parts of molasses and 1-3 parts of chitosan oligosaccharide. According to the compound microbial organic fertilizer, the nitrogen-fixing pseudomonas, the streptomyces elongisporus and the paenibacillus polymyxa are selected to be compounded, and the three strains comprehensively promote root development, nutrient absorption and stress resistance of strawberry plants through the synergistic effect of nitrogen fixation, nutrient activation, hormone secretion and disease inhibition. The compound microbial organic fertilizer can effectively promote growth of strawberry plants, improve the quality of strawberries, increase the yield, reduce chemical fertilizer and pesticide residues, reduce the risk of soil pollution and meet the requirements of consumers for safe and organic strawberries.