70 results about "Soil heavy metals" patented technology

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

This invention provides a method for estimating the limits of available heavy metal content in soil, belonging to the technical field of soil environmental benchmark research. This method estimates the limits of available heavy metal content in farmland soil by co-sampling root soil and edible parts of agricultural products. This standard can then be used to evaluate the remediation effects of stabilization technologies and to implement safety management of agricultural products.

The utility model relates to soil treatment device technical field discloses a kind of soil heavy metal treatment devices for environmental protection engineering, including frame, the upper part of the frame is fixedly connected with liquid storage tank, the right side of the frame is rotatably connected with mounting shaft one before and after, the outer side of mounting shaft one is fixedly connected with wheel one, the upper right side of the liquid storage tank is fixedly connected with infusion pump, the input end of infusion pump is fixedly connected with liquid suction tube, the output end of infusion pump is fixedly connected with infusion tube, the upper right side of the middle part of the liquid storage tank is fixedly connected with U-shaped pipe, the both ends of U-shaped pipe are fixedly connected with spray head, the left side of the frame is rotatably connected with mounting shaft two before and after. In the utility model, by the cooperation between mounting shaft two, mounting sleeve, connecting rod, earth shovel, U-shaped pipe and spray head and other structures, the treatment device can efficiently treat soil heavy metal, and the soil heavy metal treatment efficiency is improved.

The application discloses an acidification soil heavy metal passivation and acidification treatment integrated method, and aims to solve the pollution problem of karst pyrite mine area soil. The method comprises the following steps: S1, preparing an improving agent: S11, taking modified dolomite powder, modified rectorite, sulfonated asphalt powder-pullulan composite microspheres, modified chitosan quaternary ammonium salt, modified fly ash based pectin carrier and modified rice husk ash, and uniformly mixing the same to obtain a mixture; S12, adding hydroxyapatite-zeolite composite filler into the mixture, then adding water to adjust the water content of the system to 25%-40%, inoculating a jelly-like bacillus-paenibacillus complex inoculant, fully stirring and mixing, and preparing the improving agent. The method can effectively optimize soil structure, stabilize lead, zinc, cadmium, arsenic and other heavy metals, degrade sulfates, improve soil fertility and microbial activity, and is suitable for the environmental characteristics of karst area rainfall leaching, and can meet the treatment and application requirements of the compound contaminated soil.

The application belongs to the technical field of green plant protection cultivation, and discloses a standardized planting and management method for pollution-free green agricultural products, which realizes multi-index screening of soil heavy metals, pesticide residues, microorganisms and water, soil and air, establishes a soil plant protection database, and applies passivation materials, compound beneficial microorganism groups and decomposed organic fertilizers to the soil according to pollution, continuous cropping and short soil fertility, and improves the stress resistance of seedlings by matching seed pretreatment; the disease and pest risk grades of plots are divided by weighting and quantifying five types of planting data, and a risk map is drawn, high, medium and low risk plots are differentially configured with pest-resistant varieties, intercropping, crop rotation and pest-repellent crops, and a hierarchical prepared prevention and control mechanism is matched, the planting environment is optimized from the aspects of farmland basement and field ecological layout; through the fusion of the Internet of Things, unmanned aerial vehicle remote sensing, pest trapping and meteorological data, the early latent characteristics of diseases and pests are captured through a deep learning model, and the development trend of diseases and pests is deduced in advance and divided into three levels of early warning.

The utility model discloses a sampler for soil heavy metal detection, including sleeve, the inside of sleeve is provided with the earth taking mechanism, the surface of sleeve is provided with fixed establishment, the earth taking mechanism includes screw rod no. Through the above -mentioned structure, through the rotation handle, drive screw rod no. Downward rotation simultaneously, then drive fixed post downward rotation simultaneously, drive drill cylinder downward rotation simultaneously, thereby drilling into ground, make the soil into the drill cylinder, then reverse direction rotation handle, drive drill cylinder upward rotation simultaneously, then make drill cylinder far away from ground, then continue to rotate handle, thereby make screw rod no. Far away from sleeve, thereby make the fixed post of screw rod no. Downward end in the inside of sleeve, then pull handle, drive disc no. Extrude sleeve simultaneously, drive fixed link downward movement simultaneously, drive disc no. Move simultaneously, thereby make the soil fast take out, and the staff is convenient to detect.

The utility model discloses a kind of devices for treating heavy metal pollutants in soil using electroosmosis technology, it is related to the technical field of soil pollution control and repair, and it includes: electroosmosis system, the electroosmosis system includes electrode plate and electrode tube inserted into the soil layer of the region to be treated, multiple electrode plates, multiple electrode tube are respectively arranged into row with interval, multiple rows of electrode plates, multiple rows of electrode tube are alternately arranged with interval between them;Liquid injection system and pumping system, the surface of the region to be treated is sequentially laid with woven geotextile and sealing membrane above infusion pipeline and drainage pipeline.This device of the utility model is cooperated by liquid injection system, electroosmosis system, pumping system, and heavy metal pollutants in soil can be quickly and effectively removed, so that soil purification is realized in a short time.

1. The name of the design product: sampler (soil heavy metal pollution detection sampling equipment). 2. The use of the design product: for soil heavy metal pollution detection sampling. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention provides a method and system for multidimensional risk coupling assessment and dynamic prediction of environmental capacity for heavy metals in soil. It relates to the field of data processing technology. Based on remote sensing spectral data and environmental physicochemical covariates of the target area, it inverts and generates heavy metal content data covering the target area. An integrated pollution index is calculated based on the heavy metal content data. Probability distributions are configured for exposure parameters of various population groups under different exposure pathways. Random sampling is performed on each exposure parameter according to the probability distributions. Health risk probabilities are determined based on the heavy metal content data and the sampled exposure parameters. The current environmental capacity is calculated based on risk control benchmarks and heavy metal content data. The current environmental capacity is extrapolated based on a preset annual heavy metal residue rate to obtain overload risk zones. This invention can extrapolate the changes in soil heavy metal environmental capacity over multiple future years, and can delineate and issue early warnings for capacity overload areas.

The application discloses a hollow microsphere heavy metal contaminated soil leaching material and a preparation method and application thereof, and the heavy metal contaminated soil leaching material is composed of surface mercapto-modified titanium dioxide and silicon dioxide composite oxides. The heavy metal contaminated soil leaching material is environment-friendly, simple in preparation process, and can effectively reduce the heavy metal content in soil, and the product can be widely applied to the field of soil heavy metal leaching.

The application discloses a micron thorn ball-shaped soil leaching material and a preparation method and application thereof, and belongs to the field of new materials. The heavy metal contaminated soil leaching material is composed of a composite inorganic nanocrystal core of iron oxide and trimanganese tetroxide, an organic cross-linking network framework of sodium alginate and polyaspartic acid, and an amino tris methylene phosphonic acid derivative phosphate. The heavy metal contaminated soil leaching material has the advantages of large specific surface area, environmental friendliness, simple preparation process, and effective reduction of the heavy metal content in soil, and can be widely applied to the field of soil heavy metal leaching.

This invention relates to the field of heavy metal pollution remediation in soil, and discloses a method for remediating heavy metal contaminated soil based on biochar loading technology. The method involves constructing a helical chiral topological structure of biochar through femtosecond laser etching and loading a composite layer of CdS quantum dots and graphene oxide to enhance the selective adsorption and photocatalytic reduction capabilities of heavy metals. Combined with magnetic field-responsive microcapsules that dynamically release remediation agents, reinforcement learning algorithms are used to optimize multi-physics parameters, achieving precise control over the migration, transformation, and fixation of heavy metals. An ultraviolet light-triggered self-healing mechanism is introduced to repair microcapsule damage, and pyrolysis oxidation and acid leaching processes are simultaneously employed to recover heavy metals and regenerate biochar. This invention overcomes the shortcomings of traditional technologies, such as poor material selectivity, uncontrollable release, and non-recyclability, achieving efficient targeted remediation and resource recovery.

The application discloses a process optimization management method and system for soil heavy metal detection, and relates to the technical field of heavy metal detection. The application obtains historical heavy metal pretreatment records, establishes a standardized pretreatment process and a multi-factor abnormal correlation model based on the historical heavy metal pretreatment records, obtains sample basic information of a target detection area, matches the sample basic information with each standardized pretreatment process, adjusts the corresponding standardized pretreatment process and the multi-factor abnormal correlation model according to a matching result, further outputs a soil heavy metal detection decision, executes the soil heavy metal detection decision, collects real-time detection process data in the execution process of the soil heavy metal detection decision, judges whether there is a detection process abnormality through the standardized pretreatment process and the multi-factor abnormal correlation model, and re-executes a corresponding process stage in the soil heavy metal detection decision according to a judgment result.

The application discloses a signal inversion driven soil heavy metal ion concentration estimation method and relates to the technical field of environmental monitoring and pollutant analysis, and comprises the following steps: collecting original signal time series in a high-frequency continuous operation stage in a heavy metal ion concentration estimation process, generating a time interval change of an instant for each piece of data in the original signal time series to construct a time rhythm record, and writing the time rhythm record into the end of the original signal time series to form an extended time series. The application identifies time return segments and time mapping dislocation positions by constructing the time rhythm record, traces back to an original time starting point, executes time scale rearrangement, eliminates pseudo-period fluctuation, and reconstructs a real time progression relationship. The application maintains time structure continuity by progressive time stretching and segmented recovery of the time rhythm record, guarantees that concentration inversion calculation is based on a corrected time series, and improves the accuracy and stability of pollution evolution judgment.

The application discloses a basalt area soil heavy metal background value fitting method based on major element geochemical constraint, and relates to the technical field of soil environment geochemistry. The method comprises the following steps: collecting soil geochemical survey data set, removing invalid samples, and performing data preprocessing of natural logarithm transformation, analyzing index correlation and collinearity, and screening target major element index set; a multiple logarithmic linear regression model of heavy metal elements and the target major element index set is constructed; after judging the fitting result, the unqualified multiple logarithmic linear regression model is reconstructed by using a residual relative deviation threshold method, and then the concentration index data is inputted to calculate the soil heavy metal natural background value. The application combines geochemical constraint and statistical modeling, improves the scientificity and stability of the basalt area heavy metal background value fitting, and is standardized and repeatable in process, thereby providing reliable data support for basalt area soil pollution evaluation and ecological risk assessment.

This invention belongs to the technical field of soil testing equipment, specifically a soil heavy metal pollution detection device and method. It includes a detector body and a detection chamber inside the detector body, where a detection mechanism for detecting heavy metals in the soil is installed. It also includes a convenient sample preparation mechanism for on-site soil sampling. By setting up this convenient sample preparation mechanism, during the soil heavy metal pollution detection process, opening the cover exposes all components used in soil sampling to the outside environment. This not only provides greater flow space for the soil during sampling and testing, allowing for better flow of soil particles that do not meet the required particle size, and making the soil particle screening process more observable, but also simplifies post-testing cleaning and drying operations. Furthermore, the exposed components facilitate maintenance and repair of the device components.

This invention discloses an intelligent selection method for soil heavy metal pollution remediation agents based on data fusion. The method constructs a basic pollution feature set and maps it to a unified dimension to form a standardized pollution feature vector. Simultaneously, it constructs a remediation agent characteristic data set for candidate remediation agents and forms a remediation agent characteristic vector set consistent with the standardized pollution feature vector. A pollution remediation response mapping structure is established to characterize the relationship between pollution state and remediation agent action, and heavy metal speciation constraints are introduced into this mapping structure to generate a set of remediation response parameters. By extrapolating the remediation results of different remediation agents under different application conditions, a set of predicted remediation effects is obtained. Based on this, remediation agents and their application conditions that meet the preset remediation targets are selected, and the target remediation agent selection results are output. This invention enables the quantification and targeting of the remediation agent selection process, improving the effectiveness and reliability of soil heavy metal pollution remediation.

The utility model relates to the field of agricultural land soil heavy metal pollution monitoring technology discloses a soil underground percolate collection device suitable for heavy metal output flux calculation, which comprises a catchment plate inserted into soil, a catchment pipe buried in soil, a water storage tank and a vertical pipe, one end of the catchment pipe is in communication with the catchment plate, a liquid level sensing assembly is arranged in the water storage tank, the liquid level sensing assembly comprises a float ball type liquid level switch, the float ball type liquid level switch is arranged in the water storage tank, the float ball on the float ball type liquid level switch floats within a range from 1 / 3 height to 2 / 3 height of the highest liquid level of the water storage tank, and the upper half of the vertical pipe is located above the soil. The utility model can ensure that the minimum volume of water in the water storage tank is 500ml, can meet the sample volume of heavy metal detection, the catchment plate is designed in a wedge shape, can be directly inserted into soil from the soil profile, does not disturb the soil above the catchment plate, and the data authenticity is improved.

The application belongs to the technical field of solid waste resource utilization and soil heavy metal pollution treatment, and particularly relates to a SAPO-20 / MCM-48 zeolite soil passivator, a preparation method and application thereof. The preparation method comprises the following steps: crushing, screening and roasting coal gangue in sequence, uniformly mixing the coal gangue with NaOH powder, calcining, adding sodium silicate and water, stirring and aging, and finally performing hydrothermal crystallization reaction to prepare SAPO-20. Then, CTAB, NaOH and NaF are added to heated deionized water, stirred to a clear and uniform solution, TEOS is added drop by drop and stirred, then a certain amount of SAPO-20 is added, ultrasonic stirring is performed, and then the mixture is transferred into a hydrothermal reaction kettle. After one-time crystallization, the pH is adjusted by acetic acid, secondary crystallization is performed, the product after secondary crystallization is taken out, washed and dried for 12 hours, and a new type of SAPO-20 / MCM-48 zeolite soil passivator is obtained. The zeolite prepared by the application can adsorb Pb, Cd and Cu heavy metal ions in the soil, the passivator contains part of hydroxyl groups, can interact with heavy metals in the soil, form a coordination bond, and has a good passivation effect on target heavy metal ions.

The application relates to the technical field of soil detection, in particular to a soil heavy metal pollution risk assessment method and system based on AI, which comprises the following steps: acquiring a first soil environment data set of an area to be evaluated and preset risk assessment standards; constructing a knowledge graph based on the first soil environment data set and the preset risk assessment standards; performing an evaluation operation on the area to be evaluated according to the knowledge graph and a preset pollution assessment model to obtain a risk assessment result, wherein the risk assessment result comprises key pollution factors; generating soil sampling points located on the area to be evaluated in combination with the key pollution factors and a preset active learning strategy; acquiring a second soil environment data set of the soil sampling points; and outputting a new risk assessment result according to the second soil environment data set, so that the problem that the soil sampling process is blind and it is difficult to improve the risk assessment precision is solved.

This utility model relates to the field of soil remediation technology, specifically to a spraying device for heavy metal remediation in soil. It includes a chassis with a front axle and a rear axle rotatably connected to its lower front and rear ends, respectively. Wheels are fixedly connected to both ends of the front and rear axles. A spraying component is located at one end of the chassis, and a tilling component at the other end. The tilling component includes a motor, with a transmission assembly fixedly connected to its output shaft. A plowing wheel is fixedly connected to the other end of the transmission assembly. The spraying component and the tilling component are connected by a linkage assembly, which drives the front and rear axles to rotate when the wheels rotate, thereby driving the spraying component to spray and the tilling component to till the soil. The rotation of the motor output shaft drives the plowing wheel to rotate, thus throwing the soil up. A belt pulley drives the plowing wheel to rotate, throwing the soil up. Simultaneously, a centrifugal wheel in the spraying mechanism evenly distributes the pesticide under gear transmission, achieving simultaneous tilling and spraying, greatly improving work efficiency.

This invention discloses a method and system for identifying and assessing soil heavy metal pollution sources based on machine learning. The method constructs a feature dataset by collecting data on heavy metal element content and spatial environmental attributes of soil in a target area; it decomposes the input matrix using multivariate analysis and k-means clustering to obtain a source spectrum matrix and a source contribution matrix, thus identifying pollution sources and analyzing their contributions; further, it establishes a background contribution model by combining conservative elements and time series information to extract the background contribution value of each pollution source within the target time period; it calculates single-factor and comprehensive risk indices based on pollution source reconstruction and background correction, and generates soil heavy metal pollution risk level information by combining dynamic risk grading thresholds; finally, it generates a soil heavy metal pollution risk distribution map of the target area through spatial interpolation and zoning processing, simultaneously achieving quantitative analysis of pollution sources, background value correction, risk index calculation, and spatial visualization.

This invention discloses a pH-responsive soil heavy metal passivating agent and its preparation method. The passivating agent is a carbon nanowire / iron nanoparticle composite material, prepared by polyamide coating of an iron-based material followed by solution spinning and microwave carbonization. The composite material has a one-dimensional nanowire structure and its surface is grafted with acid-base functional groups. The passivating agent can dynamically respond to changes in soil pH and is compatible with both anionic and cationic heavy metal ions. Through adsorption and co-precipitation with metals, it converts active heavy metals into stable states and remains dormant when the heavy metals are in a stable state. The passivating agent of this invention can dynamically respond to soil pH and is compatible with cationic heavy metals in acidic soils and anionic heavy metals in alkaline soils, solving the problems of narrow adaptability and poor passivation specificity of traditional passivating agents. It has excellent passivation effects on various heavy metals such as mercury and cadmium.

This invention relates to the field of environmental monitoring and analysis technology, and particularly to a rapid detection method and system for soil heavy metal ecological risk microorganisms. The method includes: collecting microbial sensor signals from soil samples and extracting biotoxicity response features to construct a biotoxicity response spectrum dataset; establishing a dose-response relationship matrix from the dataset, training a support vector machine model to obtain stability indices and determine information fusion weights, and establishing a mapping model between the biological signal baseline and heavy metal concentration after feature fusion; acquiring signals from the sample to be tested and extracting features, inputting the biotoxicity response features into the support vector machine model to output prediction confidence to correct the fusion weights, obtaining the fused features to be tested, calculating the biological signal bias, and outputting the predicted heavy metal concentration value, thereby determining the pollution level and ecological risk level. This invention improves the stability of results and the usability for on-site screening.

The application discloses a soil heavy metal hyperspectral remote sensing inversion method and device, system and storage medium, and comprises the following steps: acquiring indoor hyperspectral data, heavy metal copper content and hyperspectral remote sensing image spectral data; performing SG spectral smoothing on the indoor hyperspectral data after removing noise bands; correcting the hyperspectral image spectral data according to the indoor hyperspectral data after SG spectral smoothing processing; performing fractional order differential spectral transformation on the corrected hyperspectral image spectral data; inputting the heavy metal copper content as a dependent variable and the fractional order differential spectral transformed hyperspectral image spectral data as an independent variable into a Transformer feature selection framework; and using XGBoost to establish a soil copper content inversion model to verify the effectiveness of the Transformer feature selection. According to the technical scheme, the feature wave of the heavy metal can be quickly and effectively identified and extracted.

The application discloses a kind of biological microcapsules for repairing heavy metal pollution and its preparation method and application, the biological microcapsules are composed of core material and wall material;The core material includes bacillus subtilis, aspergillus niger, brazilian nitrogen-fixing spirillum and starch;The wall material includes modified polyethylene glycol and sodium alginate;The modified polyethylene glycol is prepared by polyethylene glycol, 2-[(tert-butyl) amino] acetyl chloride hydrochloride and 2-chloroethyl sodium sulfonate reaction.The biological microcapsules for repairing heavy metal pollution of the application can further enrich soil heavy metals by the high adsorption capacity and adsorption capacity of wall material, and significantly reduce the degree of soil heavy metal pollution by the excellent reduction and adsorption capacity of composite microbial agent, and can be widely applied in the field of soil heavy metal repair.