1181 results about "Heavy metals pollution" patented technology

The invention discloses a water quality heavy metal pollution detection method and system based on Raman spectrum.The water quality heavy metal pollution detection method comprises the steps that water body Raman scattering light is collected in situ through a miniature optical fiber probe, and a continuous time sequence spectrum signal flow is generated; wavelet transform is combined with self-adaptive threshold setting, and high-frequency noise and effective spectral signals are separated; dynamically strengthening the characteristic peak of the target heavy metal through a frequency domain characteristic screening module, and inhibiting a water molecule interference peak at the same time; generating a cross-domain fusion feature vector; processing the fusion feature vector through a pre-trained heavy metal concentration prediction model, and outputting concentration prediction values of various heavy metals; a confidence score is dynamically calculated based on a deviation between a current predicted value and historical data distribution, and model parameter update and system calibration are automatically triggered. The method has the advantages that through acousto-optic signal cross-domain fusion and closed-loop self-calibration, the target peak is dynamically strengthened while water molecule interference is inhibited, and the real-time performance, the anti-interference performance and the prediction precision of heavy metal detection are improved.

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 discloses a field soil heavy metal pollution health risk dynamic assessment and intelligent early warning system, and relates to the technical field of soil environment monitoring. The system comprises a multi-source data acquisition unit, a data preprocessing unit, a risk calculation engine and a visual interaction terminal. The key technical point is that a dynamic field evolution analysis module and an adaptive grid rendering control module are introduced; the dynamic field evolution analysis module constructs a pollution potential energy field matrix representing a pollutant migration trend based on soil heavy metal concentration and hydrogeological parameters, and calculates a space-time gradient change vector of the pollution potential energy field matrix; and the latter dynamically adjusts the grid local density according to the gradient vector module value, and automatically encrypts the computational nodes in the region with severe risk change. In cooperation with a time sequence prediction deduction and feedback correction mechanism, the method can simulate the dynamic evolution of the pollution plume in the porous medium in real time, solves the problems that a migration rule is difficult to capture and the calculation efficiency of a uniform grid is low in traditional static evaluation, and achieves three-dimensional dynamic risk early warning with high precision and low calculation power consumption.

The invention discloses a growth-promoting bacillus velezensis FSUXF-717 capable of tolerating heavy metals and application of the growth-promoting bacillus velezensis FSUXF-717, and belongs to the technical field of agricultural microorganisms. The bacillus velezensis FSUXF-717 has the following advantages: (1) the bacillus velezensis FSUXF-717 has multifunctional metabolic characteristics: various carbon sources such as cane sugar, raffinose and aesculin can be utilized, and the bacillus velezensis FSUXF-717 has the functions of producing long-chain hormone, dissolving phosphorus, secreting ACC deaminase, efficiently forming a biological membrane and the like; (2) broad-spectrum adaptability: the strain has strong tolerance to heavy metal pollution (Cd / Pb / Cr / Ni), drought and broad-spectrum acid-base stress (pH 4.5-9.5); under the condition of relatively low bacterium concentration, the auxin can be stably synthesized in a heavy metal-acid-base composite stress environment. And (3) the activity of soil sucrase and soil phosphatase is enhanced. Excavation of the strain can provide an important germplasm resource basis for development and utilization of novel efficient microbial fertilizers and lay a foundation for green and high-quality development of agriculture.

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

The invention 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 invention discloses a drainage basin water body heavy metal pollution prediction system based on multi-modal attention, and the system comprises a data collection module which is used for collecting multi-modal data related to drainage basin water body heavy metal pollution, and a preprocessing module which is used for carrying out the standardization processing of the obtained multi-modal data. The multi-modal attention fusion module is used for performing feature extraction and cross-modal interaction on the preprocessed multi-modal data to generate fusion features; the dynamic prediction module is used for outputting a spatial-temporal distribution prediction result of the heavy metal pollutant concentration in the drainage basin by constructing a spatial-temporal coupled prediction model; according to the method, the cross-modal interaction accuracy is improved by dynamically focusing the key association information of the multi-modal data through the intra-modal and inter-modal attention mechanism, meanwhile, the data-driven prediction model is constructed, the prediction precision of the high-risk area is optimized through the weighted loss function, the prediction error is effectively reduced, and the prediction efficiency is improved. And high-precision dynamic prediction of heavy metal pollution under the watershed scale is realized.

The invention relates to the technical field of soil heavy metal pollution detection, and discloses a soil heavy metal pollution detection method and system, and the method comprises the steps: collecting an original signal containing a target heavy metal characteristic signal and a plurality of auxiliary background signals; preprocessing the original signal to obtain a preprocessed multi-dimensional signal; analyzing the multi-dimensional signal to identify interference characteristics of the target heavy metal characteristic signal and the auxiliary background signal; according to the interference characteristics of the auxiliary background signal, evaluating the composition and intensity of background interference, and according to the composition and intensity of the background interference, separating a pure signal of the target heavy metal from the background by using a nonlinear compensation algorithm; the target heavy metal pure signal is converted into the concentration value of the target heavy metal, chemical digestion is not needed, complex background interference can be effectively recognized and compensated for for soil heavy metal pollution detection, the accuracy and reliability of field detection are remarkably improved, and errors caused by inaccurate reagent degradation and background deduction in a traditional method are overcome.

The invention discloses a carbon / nano zero-valent iron composite material based on coal gasification slag and a preparation method of the carbon / nano zero-valent iron composite material. The method comprises the following steps: performing component separation on the coal gasification slag to obtain an iron-rich residual carbon component, mixing and grinding the iron-rich residual carbon component and sodium hydroxide according to a specific mass ratio, performing high-temperature calcination treatment in a nitrogen protective atmosphere, and performing hydrothermal activation reaction, solid-liquid separation, washing and drying to obtain the carbon / nano zero-valent iron composite material. The material shows excellent hexavalent chromium removal performance, can realize efficient removal of Cr (VI) in water within 5 minutes (the removal rate reaches 78.9%), and has remarkable structural stability. Synergistic activation of the endogenous iron-carbon components in the industrial solid waste is creatively achieved, a green and environment-friendly novel functional material solution is provided for heavy metal pollution treatment, and the method has important environmental benefits and industrial application value.

The invention provides a biochar composite porous material for heavy metal contaminated soil remediation and a preparation method and application of the biochar composite porous material. The preparation method comprises the steps that biomass raw materials are subjected to high-temperature pyrolysis carbonization and then smashed, ground and sieved, and biochar powder is obtained; dispersing in a phosphoric acid solution to obtain a biochar solution, and filtering, washing and drying after a hydrothermal activation reaction to obtain activated biochar; dispersing in a chitosan solution, carrying out ultrasonic oscillation, filtering, washing and drying to obtain modified charcoal; mixing sodium bentonite, attapulgite and deionized water, uniformly mixing the modified charcoal, the functional slurry and a sodium carboxymethyl cellulose solution to obtain composite slurry, performing compression molding to obtain a green body, and then drying and calcining the green body. The biochar composite porous material prepared by the invention can simultaneously play multiple roles of physical adsorption, chemical chelation, ion exchange and the like in a heavy metal contaminated soil treatment process, so that efficient fixation of various heavy metal ions is realized.

The invention discloses an adsorption-extraction combined heavy metal polluted water remediation system and method, and belongs to the field of water pollution treatment. The system is provided with a sensing unit which collects data in real time through a heavy metal concentration sensor and the like; the model unit outputs key information such as adsorbent real-time saturation and the like based on the acquired data and an adsorbent saturation prediction model; the decision-making unit is used for calculating a dynamic threshold value according to the information, accurately judging regeneration time and optimizing regeneration parameters; the execution unit executes a regeneration operation according to the instruction. And the feedback unit feeds back the regenerated data to the model unit to realize dynamic optimization of the system. According to the method, closed-loop operation of data acquisition, processing, decision making and feedback is realized based on cooperation of all units of the system. According to the invention, the remediation efficiency of the heavy metal polluted water body is effectively improved, the regeneration of the adsorbent is accurately controlled, the operation energy consumption is reduced, the complex and changeable pollution working conditions can be better handled, and the effluent quality is guaranteed.

The invention discloses an unconventional feed quality assessment method and system, and relates to the technical field of unconventional feed quality assessment, and the method comprises the following steps: in a feed high-temperature drying treatment process, establishing a multi-dimensional sensing monitoring baseline, continuously obtaining mercury vapor concentration gradient, moisture evaporation rate and airflow velocity field data in a feed drying environment, and calculating the quality of the feed; forming a time sequence feature set reflecting the dynamic change of mercury vaporization; and constructing a gas-solid interaction analytical model by using the time sequence feature set, and carrying out coupling analysis on the mercury vapor migration trajectory and the temperature distribution and humidity distribution of the feed particle surface to generate a spatial distribution data set representing the spatial distribution feature of the mercury vapor redeposition region. According to the invention, the whole-process monitoring and dynamic regulation and control of mercury vaporization, migration and redeposition in the feed drying process are realized, through multi-dimensional monitoring, amplitude limiting control and high-frequency disturbance, the mercury distribution is balanced, the risk is reduced, the drying safety and the feed quality stability are improved, and the controllable management of heavy metal pollution is effectively realized.

The invention relates to the technical field of soil remediation, in particular to a charcoal-fungus symbiont for a freeze-thaw environment and a preparation method and application of the charcoal-fungus symbiont. The preparation method of the charcoal-fungus symbiont comprises the following steps: crushing a biomass raw material, and carrying out pyrolysis to prepare basic charcoal; placing the basic biochar in an iron oxide solution, and carrying out an iron oxide loading reaction to obtain iron oxide biochar; the preparation method comprises the following steps: dipping iron oxide biochar in a chitosan solution for coating modification, then continuously adding a cross-linking agent for cross-linking solidification, and freeze-drying to obtain chitosan-iron oxide composite modified biochar; and immersing the chitosan-iron oxide composite modified biochar into a bacterial suspension of functional microorganisms, oscillating and adsorbing, and freeze-drying to obtain the carbon-bacteria symbiont. The invention aims to improve the heavy metal pollution phenomenon of soil and the soybean root rot disaster in the freezing and thawing cycle environment at the same time.

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 discloses a method and system for evaluating the influence of long-term fertilization on rice field soil heavy metals, and the method comprises the steps: obtaining rice field soil data through a sensor, and obtaining a standardized soil physicochemical property data set and a heavy metal content data set; according to the standardized soil physicochemical property data set and the heavy metal content data set, obtaining a feature vector set reflecting correlation between soil physicochemical properties and heavy metal behaviors; aiming at the feature vector set, obtaining a prediction model for representing the influence of the fertilization mode on the heavy metal mobility; if the heavy metal effective state content output by the prediction model exceeds a preset bioavailability threshold value, classifying the soil physicochemical property data set, judging the influence weight of the soil pH value and the organic matter content on the cadmium mobility, and obtaining the classified soil environment risk grade; and according to the classified soil environment risk levels, obtaining comprehensive rice field soil heavy metal pollution evaluation indexes. The pertinence and effectiveness of pollution control are remarkably improved.

The invention discloses a serratia marcescens strain and an application thereof. Belongs to the technical field of agricultural microorganism and heavy metal pollution control. The serratia marcescens separated from the rhizosphere of the rice is inoculated to the rhizosphere of the rice, is used for in-situ remediation of polluted soil rice planting, can be effectively colonized at the root of the rice, and has high safety. Manganese and iron ions in the soil can be adsorbed and chelated, and the formation of an iron-manganese adhesive film on the surface of a rice root is enhanced, so that the Cd element is prevented and controlled from entering plant roots and overground parts; the absorption of manganese and iron in the polluted soil can be increased, the growth of the rice is promoted, and the yield of the rice is increased. And the standard-reaching safe production of rice Cd in the moderately and mildly polluted soil is realized, and the method has a very good application prospect.

The invention belongs to the technical field of biological mineral fertilizers, and particularly relates to a microbial liquid complex microbial inoculant with coal gangue activation and heavy metal treatment functions and a biological mineral fertilizer. The microbial liquid complex microbial inoculant is prepared from the following functional strains by using electrochemical low-Hertz water through sequential inoculation and fermentation in three stages: repair bacteria pseudomonas putida, nitrogen-fixing bacteria azotobacter chroococcum, growth-promoting bacteria azotobacter braziliensis, phosphate solubilizing bacteria pseudomonas fluorescens, biocontrol bacteria bacillus subtilis and potassium bacteria bacillus mucilaginosus. The silicolytic bacteria are bacillus megatherium; and the synergistic bacteria are trichoderma asperellum. The biological mineral fertilizer is prepared by using the microbial liquid complex microbial inoculant and using coal gangue powder as a main raw material. The scientific compatibility of different strains provided by the invention realizes the efficient improvement of the heavy metal polluted land and the yield increase of crops, changes the coal gangue into valuables, solves the problem of pollution caused by the accumulation of a large amount of coal gangue, and has important economic and social values.

The invention discloses a farmland heavy metal restoration path planning system based on unmanned aerial vehicle remote sensing data driving, and relates to the technical field of farmland restoration, and the system comprises a data acquisition module which is configured to collect real-time remote sensing image data; the pollution remediation sub-region division module is configured to divide pollution remediation sub-regions; the attribute identification module is configured to identify land parcel attribute information; the restoration means evaluation module is configured to evaluate an initial restoration coefficient; the pollution remediation subarea association effect evaluation module is configured to evaluate a remediation migration effect; the composite repair coefficient calculation module is configured to comprehensively evaluate a composite repair coefficient; the global remediation optimization module is configured to globally plan a heavy metal remediation means implemented in each pollution remediation sub-region; and the scheme output module is configured to output a repair path of each heavy metal repair means. The method has the advantages that powerful intelligent decision support is provided for efficient, accurate and synergistic remediation of heavy metal pollution of the complex farmland.

The invention discloses heavy metal resistant bacillus velezensis as well as a microbial remediation agent and application thereof. Bacillus velezensis DBS01 is screened from heavy metal contaminated soil in Dabaoshan mining areas in Shaoguan City, Guangdong province, is preserved in China Center for Type Culture Collection (CCTCC), has a preservation number of CCTCC M 20252228, not only has resistance to various heavy metals, but also can metabolize and secrete metabolites such as organic acid, cellulase and growth hormone in different growth stages, and can be used for preventing and treating various heavy metals. Multiple functions of curing heavy metals, dissolving phosphorus and potassium, promoting plant growth and the like are realized. According to the method, bacillus velezensis DBS01 is inoculated into a culture medium containing straw, calcium superphosphate, agar and sodium alginate are added, and a mixture containing the bacillus velezensis DBS01 is freeze-dried, so that the heavy metal contaminated soil in the mining area can be efficiently repaired in an environment-friendly manner at low cost, and the ecological function recovery of the soil is effectively promoted.

The present application relates to the technical field of the treatment of heavy metal pollution, and in particular, to a method for predicting heavy metal accumulation in soil based on an emission inventory and a receptor model. Atmospheric dust fall, irrigation water, a fertilizer, and a pesticide are used as heavy metal input flux sources of farmland soil, and surface runoff and a crop are used as output fluxes. A heavy metal pollutant input-output flux inventory is established to specify a dynamic equilibrium relationship of heavy metal accumulation in soil, and soil samples are collected and monitored continuously, which provides important help for determining a migration equilibrium of heavy metals in a farmland region affected by a nonferrous metal dressing and smelting slag yard and a source of soil heavy metal pollution, thereby providing theoretical guidance for subsequent prevention and accurate control of heavy metals in soil.

The invention discloses a shield muck heavy metal pollution intelligent sorting system and method based on multi-parameter online detection, and relates to the field of shield muck sorting, the shield muck heavy metal pollution intelligent sorting system comprises a muck sample pretreatment module, an online detection module, a pollution evaluation analysis module, a sorting execution module and a linkage control feedback module; the muck sample pretreatment module is used for separating coarse particles with the particle size larger than 50 mm and impurities in shield muck through a vibrating screen. According to the method, the initial value of the fine-grained soil content is detected in real time, data is automatically corrected based on a preset intelligent densimeter and a traditional densimeter difference correction model, rapid measurement is achieved, the detection efficiency is improved, a dynamic correlation model of fine-grained soil component changes is constructed by combining auxiliary parameters such as the muck weight, the water content and coarse grain grading, and the detection accuracy is improved. And the working condition adaptation module is linked to automatically improve the fine-grained soil detection frequency when the stratum mutation is identified by the shield PLC parameters, so that the data is ensured to closely follow the stratum change.

The invention relates to the technical field of environment monitoring, in particular to a soil heavy metal pollution intelligent identification and dynamic early warning system and method, and the system comprises a data collection and preprocessing module which is used for obtaining multi-source satellite hyperspectral data of a to-be-detected region, carrying out the data preprocessing and data fusion of the data, and obtaining the surface reflectance data of the to-be-detected region; the spectral feature enhancement and extraction module is used for carrying out soil pixel purification and spectral feature enhancement on the surface reflectance data and extracting sensitive spectral features; the data analysis and inversion module is used for inputting the sensitive spectral characteristics into a preset intelligent inversion and early warning model library to obtain a soil heavy metal pollution grade identification result and a quantitative concentration inversion result; and the dynamic early warning module is used for carrying out time-space diffusion trend analysis and dynamic risk assessment on soil heavy metal pollution and generating a risk early warning report. The soil heavy metal pollution monitoring method is low in cost, high in efficiency and wide in range, and a soil heavy metal pollution monitoring solution of business operation can be realized.

The invention provides an agricultural land heavy metal pollutant pollution tracing method and system, and relates to the technical field of data processing method.The agricultural land heavy metal pollutant pollution tracing method comprises the steps that multi-source heterogeneous environment data of an agricultural land to be traced is acquired; constructing a heterogeneous graph; inputting node features of each node in the heterogeneous graph and edge indexes and edge attributes of each connection edge into a plurality of trained graph attention network models to obtain edge contribution vectors; polymerizing the plurality of edge contribution vectors to obtain the final contribution of each heavy metal pollutant; and heavy metal pollutant pollution tracing is carried out. According to the scheme, the heterogeneous graph containing the receptor nodes and the pollution source nodes is constructed, the multi-source heterogeneous environment data is mapped into the node features and the edge attributes, explicit structured expression of the pollution source-receptor relation is achieved, the model can learn the complex nonlinear mapping relation of pollution contributions end to end, and the method has the advantages of being high in practicability and easy to popularize. And the spatial accuracy and the chemical rationality of the traceability result can be improved.

The invention relates to the technical field of heavy metal contaminated soil remediation, in particular to a plant-microorganism-passivator synergistic remediation method for a heavy metal contaminated farmland, which comprises the following steps: step 1, constructing a soil digital twinborn model; step 2, intelligent decision making and verification of a collaborative restoration scheme; 3, soil pretreatment before remediation; step 4, hierarchical collaborative restoration and dynamic regulation and control; 5, performing long-term verification on the repair effect and performing model iteration; physical heat treatment is used as strengthening pretreatment, the occurrence form of heavy metal is changed through high temperature, biomass charcoal is generated in situ, passivation immobilization-microbial strengthening-plant extraction three-stage collaborative operation is carried out according to the time sequence, pollutants are rapidly locked through a passivating agent, rhizosphere immobilization is strengthened through functional microorganisms, plant growth is promoted, and the quality of plants is improved. And the hyperaccumulator finally removes the heavy metals from the soil, so that the unification of short-term control and long-term reduction is realized.

The invention relates to the technical field of related drugs for nerve injury caused by heavy metal pollution, in particular to application of a compound for inhibiting phosphorylation of ARMC10 in preparation of drugs for antagonizing tin-induced nervous system injury. Exposure of trimethyltin chloride induces nerve cell mitochondrial dysfunction, and the key mechanism is ARMC10 serine 43 site abnormal phosphorylation. Phosphorylated protein causes excessive mitochondrial fission, membrane potential collapse and energy metabolism disorder, resulting in neuron damage. Based on the target spot, a compound for antagonizing tin-induced nervous system injury is obtained through screening, protein phosphorylation can be specifically inhibited, mitochondrial dynamic unbalance and dysfunction induced by trimethyltin chloride are effectively reversed, and neurotoxicity is relieved. According to the technical scheme, the technical problem that in the prior art, no medicine for effectively antagonizing tin-induced nervous system injury exists can be solved, and the compound has the application potential for treating the nervous system injury and cognitive impairment caused by tin exposure.

The invention provides a heavy metal contaminated soil remediation method and device based on directional regulation and control of an electrode array, and the method comprises the following steps: filling heavy metal contaminated soil to be remediated into a soil chamber, and arranging the electrode array in the soil chamber; an electrolyte is added into the cathode chamber and the anode chamber respectively, so that the electrolyte enters the soil chamber, and the moisture content of the soil is maintained to be 20-50%; and under the condition that the pH value of the electrolyte in the cathode chamber and the pH value of the electrolyte in the anode chamber are maintained at 6.0-7.5, bipolar pulse electric fields are applied to the anode and the cathode, so that heavy metal ions in the heavy metal contaminated soil to be remediated are directionally migrated to the surface of the electrode array, and remediation is completed. Moreover, the remediation method and device are simple and convenient to operate, efficient, controllable and environment-friendly remediation of the heavy metal contaminated soil is achieved, good engineering applicability and economical efficiency are achieved, and the green development requirement of the soil remediation technology is met.

The invention relates to the technical field of cementing materials, in particular to a green high-performance solid-waste-based cementing material as well as a preparation method and application thereof. The green high-performance solid waste-based cementing material is prepared from the following raw materials in parts by weight: 15 to 25 parts of cement clinker, 15 to 25 parts of desulfurized gypsum, 0 to 5 parts of quick lime, 50 to 60 parts of superfine slag powder, 0 to 18 parts of red mud, 0 to 10 parts of manganese slag, 0 to 10 parts of carbide slag, 0 to 15 parts of fly ash, 0 to 10 parts of alkaline residue and 0 to 2 parts of exciting agent. According to the preparation process of the material, effective utilization of solid waste is realized, efficient resource conversion of the solid waste is promoted, and carbon dioxide emission in the high-energy-consumption clinker production process is remarkably reduced; other industrial wastes can be solidified in the production process, heavy metal polluted soil and wastewater are treated, energy consumption and pollution emission are reduced, and sustainable development of the building industry is facilitated.

The invention relates to the technical field of environmental remediation, and particularly discloses a soil remediation agent for heavy metal pollution and a preparation method of the soil remediation agent. The soil remediation agent is prepared from 30 to 40 parts of modified biomass charcoal, 15 to 20 parts of chitosan-humic acid composite gel, 5 to 8 parts of arbuscular mycorrhizal fungal spore suspension, 3 to 5 parts of heavy metal-resistant microbial strains, 2 to 3 parts of plant-based nano zero-valent iron, 10 to 15 parts of sodium alginate solution, 1 to 2 parts of compound enzyme preparation and 8 to 12 parts of bio-based calcium carbonate. According to the invention, the adsorption material is prepared from the waste biomass, and a dynamic response remediation system is constructed by combining microbial microencapsulation and multi-component synergistic proportioning, so that efficient fixation of heavy metals, soil ecological protection and remediation cost optimization are realized, and the problems of high reversibility risk, large ecological disturbance, insufficient soil adaptability and the like of a traditional remediation agent are solved.

The invention discloses a farmland heavy metal pollution monitoring system, and relates to the field of heavy metal detection, and the system comprises a creation module which is used for uploading the structure information of an area where a farmland is located, and creating a farmland twinborn model based on the structure information of the area where the farmland is located; the logic module is used for generating heavy metal sensor deployment logic according to the farmland twinborn model; according to the method, the farmland twinborn model is constructed and calibrated according to the farmland and the structure information of the area, the high matching degree of the model and the actual farmland is guaranteed, an accurate foundation is laid for monitoring, the areas are equally divided according to the topographic features of the twinborn model, the heavy metal sensors are differentially deployed, the lower the position is, the higher the density is, and comprehensive and targeted monitoring of each area of the farmland is realized.

The invention discloses hydrogen slow-release particles based on biochar-magnesium hydride and a preparation method of the hydrogen slow-release particles. The hydrogen slow-release particles are formed by mixing magnesium hydride with the purity larger than 99%, biochar and an adhesive. The high-purity magnesium hydride finished product is adopted, the environment heavy metal pollution repairing function of the biochar is utilized, the hydrogen release time in magnesium hydride is prolonged, crop growth and environment pollution repairing are promoted through controllable slow-release hydrogen, and crop growth is promoted.