2620 results about "Edaphic" patented technology

The invention relates to the technical field of soil pollution detection, in particular to a soil heavy metal pollution intelligent detection method and system.The method comprises the steps that soil multi-source information and regional environment parameters of to-be-detected soil are collected, and soil pollution characteristics are recognized according to the soil multi-source information; establishing a pollution identification analysis model according to the soil pollution characteristics and the regional environment parameters, and analyzing whether the to-be-detected soil contains heavy metal pollutants or not; if the heavy metal pollutants are contained, pollution diffusion paths of the heavy metal pollutants in time and space are predicted according to a pollution identification analysis model; and if the soil does not contain the heavy metal pollutants, performing time sequence analysis on soil pollution characteristics, monitoring and analyzing future concentration distribution of the heavy metal pollutants, and establishing pollution risk early warning. According to the invention, the problems of long sampling analysis time consumption, incapability of dynamically monitoring pollutant concentration change in real time, insufficient diffusion prediction accuracy and difficulty in comprehensively evaluating high-concentration and potential risk areas in a traditional soil heavy metal detection method are effectively solved.

The invention discloses coal gangue-based artificial ecological soil and a preparation method and application thereof, and belongs to the technical field of ecological improvement, the coal gangue-based artificial ecological soil comprises crushed coal gangue and a compound microbial agent, and the compound microbial agent comprises a microbial activating agent and a microbial passivating agent. According to the invention, the coal gangue can be quickly decomposed through the microbial activating agent, useful mineral elements in the coal gangue can be fully activated and analyzed, and the effect of activating a nutrient library in the coal gangue is achieved, so that useful trace elements contained in the coal gangue are effectively released and are easily absorbed by plant growth; meanwhile, harmful heavy metal elements in the coal gangue are passivated through the microbial passivating fungicide, the water-retaining property and the air permeability of the soil are guaranteed by controlling the decomposition particle size proportion of the coal gangue, the soil conditioner can be used for ecological restoration, desert control, agriculture and animal husbandry planting, flower and nursery planting and urban landscaping, the effects of improving the soil and promoting plant growth are achieved, and the soil conditioner is suitable for large-scale popularization and application. The application is wide.

The invention provides a comprehensive evaluation method and system for the remediation effect of heavy metal contaminated soil, and relates to the technical field of environmental engineering.The method specifically comprises the steps that remote sensing data of a contaminated area is obtained, a soil sample is collected, the microbial respiration rate and the soil physicochemical property of the soil sample are measured, the remote sensing data are processed, and a normalized vegetation index is obtained; generating a soil health assessment index based on the collected physical and chemical properties of the soil; integrating the soil evaluation index, the microbial respiration rate and the normalized vegetation index to construct a soil remediation evaluation index; and comparing the remediation evaluation index with a preset evaluation threshold value, and evaluating the remediation effect of the heavy metal contaminated soil. According to the method, the soil health evaluation index and the remediation evaluation index are constructed, so that the evaluation accuracy of the remediation effect of the heavy metal contaminated soil is effectively improved. Through multivariate correlation analysis, biological, chemical and physical characteristics of the soil can be comprehensively reflected, and a scientific basis is provided for subsequent management and remediation measures.

The invention discloses a soil sampling device for environmental remediation, belongs to the technical field of environmental remediation, and aims to solve the problems that a spiral blade can destroy the in-situ structure and hierarchy of soil and influence the accuracy of a result, and broken stones on the surface layer of the soil can damage a spiral conveying blade. The soil sampling device comprises a shell, a handle is fixedly connected to the side wall of the shell, a first motor is fixedly connected to the top end in the shell, a threaded rod is rotatably arranged on the shell, one end of the threaded rod penetrates into the shell and is fixedly connected with the output end of the first motor, and a support sleeves the outer side of the threaded rod. According to the soil sampling device, gravel on the surface layer of soil can be cleaned, abrasion of the gravel to a drill bit is avoided, the service life of the sampling device is prolonged, meanwhile, soil of various depths can be sampled, the sampling amount of soil samples is ensured, and follow-up workers can conveniently and accurately detect specific components of the soil.

The invention discloses a soil sampling device for land resource planning and a sampling method thereof, and belongs to the technical field of soil sampling, the soil sampling device comprises a supporting seat fixedly supported above the ground at a sampling position, a stand column is fixedly mounted on the upper surface of the supporting seat, and a top seat is fixedly mounted at the top of the stand column; an adjusting motor is fixedly mounted at the top of the top seat, meanwhile, a threaded rod is fixedly mounted at the output end of the adjusting motor, a movable seat is arranged on the outer side of the stand column, and a sampling barrel is rotationally mounted in the middle of the movable seat. The cutting base is fixedly installed at the lower end of the sampling barrel, the drilling efficiency of the sampling barrel is improved, and a cutting assembly is arranged on the inner side of the cutting base. According to the soil sampling device for land resource planning and the sampling method of the soil sampling device, residual soil dust in previous sampling can be automatically cleaned before sampling, the lower end of sample soil can be segmented, automatic clamping and supporting are conducted, and the sample soil can be completely taken out conveniently.

The invention relates to the field of agricultural soil improvement and ecological fertilization, and discloses an ecological fertilization method for improving the organic matter content of soil in a dry-hot valley region, and the method comprises the following steps: soil matrix improvement: improving the porosity and water binding capacity of the soil by adding charcoal and humic acid particles; the functional microbial preparation is put, and the activity of soil microorganisms is activated through the combined effect of cellulose decomposition bacteria, stabilization promoting flora and water retention flora; green manure crop planting and covering management: planting sweet clover and other leguminous crops to provide a carbon source and a nitrogen source for soil, and meanwhile, utilizing straw covering to inhibit water evaporation; turning over and stabilizing the green manure crops, namely turning over and stabilizing the organic matters in a blooming period of the green manure crops and combining with a stabilization promoting bacterial liquid and an adsorptive carrier; dynamic balance is maintained, and dynamic balance of decomposition, conversion and accumulation of organic matter is achieved step by step through multi-cycle planting and turning and pressing. The organic matter content and fertility of the soil can be improved, and the water-retaining property and microbial ecosystem of the soil are improved.

The invention relates to the technical field of remote sensing monitoring equipment, and discloses tropical agricultural ecology remote sensing monitoring equipment which comprises an unmanned aerial vehicle platform, a remote sensing unmanned aerial vehicle is arranged on the unmanned aerial vehicle platform, and a monitoring sensor assembly is loaded on the remote sensing unmanned aerial vehicle. The monitoring sensor assembly comprises a high-resolution camera device, a hyperspectral sensor, a thermal infrared sensor and a laser radar, a data receiving module, a data processing module and a display module are arranged in the unmanned aerial vehicle platform, and the monitoring sensor assembly is mainly used for obtaining soil images and data information. The data processing module can judge soil ecological information according to images and data, and the monitoring sensor assembly and the data processing module are matched to obtain the erosion degree and fertility condition of soil in the planting area, the moisture content, the soil type, the moisture evaporation condition and the slope and direction information of the soil. The growth state of plants in a planting area and the ecological environment of soil are monitored, and producers are better assisted in formulating targeted agricultural management measures.

The invention provides a soil nutrient detection method based on a gamma-ray energy spectrum and an XGboost algorithm, and the method comprises the steps: constructing a training sample for soil nutrient detection, the training sample comprises radioactive element data, and the label of the training sample is soil nutrient data with the same soil point location as the radioactive element data; the training sample is input into an XGboost model, the XGboost model extracts features of the training sample and predicts soil nutrients of the training sample, the soil nutrients serve as nutrient predicted values, a loss function is constructed according to the nutrient predicted values and labels of the training sample, the XGboost model is trained, and a soil nutrient detection model is obtained; acquiring soil radioactive elements of to-be-detected soil through a gamma-ray energy spectrometer, and inputting the soil radioactive elements into the soil nutrient detection model to obtain a nutrient detection result of the to-be-detected soil.

The invention provides a special charcoal-based slow-release fertilizer for sandy soil as well as a preparation method and application thereof, and belongs to the technical field of fertilizers. The special charcoal-based slow-release fertilizer for the sandy soil is prepared from amino modified biomass charcoal, urea, urea formaldehyde, monoammonium phosphate, potassium sulfate, polyglutamic acid, fulvic acid, clay, attapulgite, a compound microbial agent and sodium alginate. The compound microbial agent is prepared from halomonas (ACCC 11681), bacillus subtilis (ACCC 60429) and bacillus mucilaginosus (ACCC 10094), and the compound microbial agent is prepared from bacillus subtilis (ACCC 60429) and bacillus mucilaginosus (ACCC 10094). The invention further provides a preparation method and application of the special charcoal-based slow-release fertilizer for the sandy soil. The special charcoal-based slow-release fertilizer for the sandy soil can remarkably improve the water and fertilizer retention capacity of the sandy soil, improve the farmland productivity of the sandy soil, save fertilizer and water input and improve the yield and quality of crops.

The invention relates to the technical field of intelligent control, and discloses a water-saving fertilization variable control method suitable for sandy soil, and the method comprises the steps: obtaining collection data based on a sensor; and establishing and updating an infiltration-storage-leaching loss prediction model of the sandy soil according to the collected data, performing state estimation on soil moisture and nutrient states, and calculating root layer moisture deviation, fertilizer concentration deviation and deep seepage risk. And executing model predictive control in the rolling time domain to obtain a control result. And executing water-saving fertilization operation according to the control result. In the execution process, the soil volume moisture content, the soil water potential, the soil conductivity and shallow layer leakage observation data are fused, the prediction model is corrected, the control result is dynamically adjusted according to the correction result, and when the environment wind speed exceeds a set threshold value, the spray irrigation parameters are corrected. The fine level of control is improved, deep layer leakage can be inhibited under the sandy soil condition, water and fertilizer balance of a root layer is guaranteed, and external disturbance is coped with.

The invention provides a ground mechanical property parameter interpretation method based on impact penetration sounding, which comprises the following steps of: carrying an impact penetrometer by an unmanned aerial vehicle to carry out remote survey on a target ground, and carrying out data interpretation on dynamic response data acquired by the penetrometer by utilizing a radial basis function neural network model and a multi-target genetic algorithm; therefore, the mechanical characteristic parameters of the ground can be quickly and accurately obtained. The method is reasonable in conception, the ground mechanical property parameters of the soil can be rapidly and accurately interpreted, and the parameters can be used for equipment trafficability evaluation in a complex geological environment, so that the capability of coping with the complex geological environment is improved.

The invention provides a southern red soil dry land deacidification soil conditioner and a preparation method thereof, and belongs to the technical field of soil conditioners. The preparation method comprises the following steps: embedding bacillus subtilis, bacillus licheniformis and bacillus amyloliquefaciens to prepare bacterial microspheres, adding the bacterial microspheres into gel formed by carboxymethyl chitosan and silk fibroin peptide to prepare sustained-release bacterial microsphere gel, uniformly mixing the sustained-release bacterial microsphere gel with porous silicon dioxide loaded with basalt and charcoal, and drying to prepare the acid-reducing soil conditioner for the southern red soil dry land. The acid-reducing soil conditioner for the southern red soil dry land not only improves the pH value of the soil, but also can loosen the soil and improve the air permeability of the soil to a certain extent, and promotes the absorption of crops to moisture and nutrient elements by improving the physical and chemical properties of the soil, so that the normal growth of the crops is ensured, and the acid-reducing soil conditioner has a wide application prospect.

The invention discloses a performance optimization integrated learning soil salinity prediction precision improvement method, and belongs to the technical field of soil quality monitoring. The method comprises the following steps: acquiring a first spectral image of to-be-predicted soil; performing feature extraction on the first spectral image to obtain a target spectral feature; inputting the target spectral features into a target soil salinity prediction model to obtain a soil salinity prediction result; the target soil salinity prediction model is obtained by the following steps: testing a plurality of first soil salinity prediction models based on a first soil salinity prediction model test set corresponding to sample soil to obtain a test scoring result of each first soil salinity prediction model; determining at least one second soil salinity prediction model from the plurality of first soil salinity prediction models based on the plurality of test scoring results, and taking the at least one second soil salinity prediction model as a target soil salinity prediction model; the input feature of the first soil salinity prediction model test set is the first spectral feature of the sample soil, and the target variable is the salinity of the sample soil.

The invention provides a mining area surrounding soil heavy metal spatial distribution inversion method based on hyperspectral data, and the method comprises the steps: processing multi-source monitoring data of mining area surrounding soil, and obtaining a consistent reflectivity data set; performing soil spectrum purification based on the consistent reflectivity data set to obtain a pure soil signal; spectrum key features are screened out from the pure soil signals; obtaining a modeling data set in combination with the spectrum key features and the heavy metal concentration labels so as to construct a multi-task inversion model, and outputting each metal prediction interval and an over-standard risk probability graph; and outputting a multi-layer package based on the model, performing global and local interpretation and mechanism verification, and generating an interpretation report and traceable evidence. According to the method, full-link unification and purification can be achieved, domain deviation and mixed pollution are remarkably reduced, the accuracy and interpretability of feature screening can be considered, and the model generalization ability, prediction accuracy and space credibility are improved.

The invention discloses a heavy metal infiltration risk prediction method for reclaimed water irrigation mining and metallurgy area greenbelt soil, which comprises the following steps: detecting the contents of heavy metals and salt ions in mining and metallurgy area reclaimed water and greenbelt soil, and detecting the physicochemical properties and hydraulic parameters of the soil; carrying out experimental simulation on the basis of detection data to obtain heavy metal form distribution and chemical equilibrium parameters of each phase of soil, then constructing a soil mineral phase-organic matter heavy metal adsorption kinetic model, constructing a soil solid phase equilibrium adsorption capacity calculation model, and further constructing a reclaimed water driven heavy metal geochemical migration process model; the heavy metal content of the mining and metallurgy area soil serves as an initial input item of the migration process model, and the heavy metal infiltration flux of the mining and metallurgy area greenbelt soil in the target prediction time is predicted in a rolling mode according to the heavy metal concentration of the recycled water; and calculating the heavy metal pollution index according to the predicted heavy metal infiltration flux. The method can quickly, accurately and economically evaluate the heavy metal infiltration risk of the reclaimed water irrigated green land soil.

The present invention discloses a vibration mechanical weeding device based on machine vision, which relates to the field of agricultural machinery, and is specifically applied to intelligent field weeding of various crops in the agricultural field. The device consists of a three-point suspension, a body, a visual part, and an actuator. The device can be applied to weeding operations of various crops in different growth cycles. At the same time, the present invention adopts the traditional three-point suspension and hanging method of agricultural machinery, can be carried on various field walking platforms, and can adapt to various complex field environments. The device applies machine vision technology, deploys a visual recognition system on the device, and controls the terminal actuator to avoid seedlings and weed after identifying and locating seedlings and grass through a camera. At the same time, the device innovatively adopts a method of using a vibrating tooth comb to break the soil and bring the grass to the soil surface, which minimizes the damage to the ridge platform, and at the same time has the effect of loosening the soil, reducing the amount of chemical herbicides, protecting the ecological environment, improving the weeding efficiency, and reducing the weeding seedling injury rate.

The invention discloses a dynamic black land soil nutrient prediction system based on satellite remote sensing and multi-source data fusion, and relates to the field of artificial intelligence, and the system comprises a data collection module which obtains multi-source data of black land soil, including satellite remote sensing data, ground sensor data, meteorological data and historical soil nutrient data; the feature extraction module is used for extracting feature information of soil nutrients; the prediction model module is used for constructing a soil nutrient dynamic prediction model and accurately predicting the soil nutrient dynamic state; the feedback optimization module is used for optimizing and updating the prediction model, continuously improving the performance of the model, improving the prediction precision and obtaining an optimized prediction model; the visualization module is used for visually displaying a prediction result, displaying spatial and temporal distribution of soil nutrients in the form of a map and a chart, and providing strategy support of fertilization suggestions and land management; according to the data storage and management module, a database stores different types of data, efficient query, updating and maintenance of the data are achieved, and the safety of the soil nutrient dynamic data is improved.

The invention discloses a method for repairing arsenic-cadmium combined polluted rice field soil, which comprises the following steps of: reducing the redox potential Eh value of the soil to-100 to-300mV by controlling the height of a flooded water layer of the polluted soil and adding a reducing agent, reducing arsenic in the soil into trivalent arsenic, and simultaneously constructing an indigenous microbial community with high arsenic methylation capability; oxidizing by draining and drying, methylating trivalent arsenic by indigenous microbial communities, and gradually volatilizing arsenic through methylation; and applying a carbon-based functional biological membrane mainly comprising a cadmium passivation flora to stably passivate cadmium. According to the method, the arsenic methylation capacity of microorganisms is improved by precisely regulating and controlling the Eh value, in-situ passivation of cadmium is enhanced through the synergistic effect of the carbon-based carrier and the composite flora, synchronous enhancement of arsenic methylation volatilization and cadmium biological membrane passivation is achieved, the difficulty that an arsenic and cadmium pollution treatment technology is'helpful 'is converted into an acting point of technical breakthrough, and the method is suitable for large-scale popularization and application. The arsenic and cadmium co-treatment of the combined polluted soil is realized.

The invention relates to the technical field of soil detection and multi-source information fusion, in particular to a soil moisture content cooperative detection method and system.The method comprises the steps that a target area is determined, and a target thermal infrared image of surface soil of the target area is obtained; extracting target characteristic parameters related to the moisture content from the target thermal infrared image, inputting the target characteristic parameters into the trained BP neural network, and predicting to obtain a surface soil moisture content distribution diagram; based on the surface soil moisture content distribution diagram, determining a target range region with abnormal moisture content through threshold comparison; after the air coupling stepping radar is driven to be aligned with the thermal infrared imaging system in a space-time mode, scanning is conducted in a target range area, and a radar reflection coefficient extracted from an obtained radar image and phase difference information serve as radar characteristic parameters; and performing modeling analysis on the radar characteristic parameters based on a support vector regression (SVR) model, and obtaining soil profile moisture content distribution of the moisture content abnormal region by constructing a nonlinear mapping relation and optimizing model hyper-parameter inversion.

The invention relates to acid-resistant sulfate reducing bacteria and application thereof, and belongs to the technical field of microorganisms. The acid-resistant sulfate reducing bacterium disclosed by the invention is Desulfovibrio desulfuricans QY411, and is preserved in the Guangdong Microbial Culture Collection Center on March 14, 2024, and the preservation number of the acid-resistant sulfate reducing bacterium is GDMCC No: 64412. The acid-resistant sulfate reducing bacterium provided by the invention can survive in an environment with the pH value of 4, and can be applied to ecological reconstruction of acid tailings and waste dump soil, the pH values of mining wasteland soil and surface water after ecological reconstruction are remarkably increased, the concentration of SO4 < 2-> in the soil is remarkably reduced, the acidification process in the mining wasteland soil is effectively inhibited, and the acid-resistant sulfate reducing bacterium has the advantages of being safe and reliable. Therefore, the acidification process in the mining wasteland is effectively controlled. Meanwhile, soil heavy metal pollution is reduced, and vegetation growth is recovered.

The invention relates to a multi-field coupling model test monitoring device and method for evaluating microbial mineralization homogeneity. The device comprises a test model box, a pressurization system, a grouting system, a sampling system, a sensor assembly and a computer monitoring system. Compared with the prior art, the device is focused on researching the process of influence of different overlying stresses and grouting rates on microorganism mineralized and solidified soil in multiple environments of a biological field, a chemical field, a stress field, a hydraulic field and the like. The device can effectively evaluate the uniformity and effect of solidification and restoration of microorganism mineralized and solidified soil and the distribution condition of mineral content, and provides an important basis for researching the long-term safety of the microorganism mineralized and solidified soil. The scheme is of great significance to remediation and utilization of polluted soil and energy conservation and carbon reduction of engineering application.

The invention discloses a preparation process of a soil conditioner and application of the soil conditioner in soil improvement, and the preparation process comprises the following steps: S1, preparation of pretreated biomass; s2, preparation of composite biochar; s3, preparation of sulfhydrylated biochar; s4, preparing the modified composite biochar; and S5, uniformly mixing the modified composite charcoal, kaolin, humic acid, fly ash, slaked lime and vermiculite to obtain the soil conditioner. According to the soil conditioner, modified composite biochar prepared through specific functionalization is blended with kaolin, humic acid, fly ash, slaked lime and vermiculite according to a certain proportion, and the prepared soil conditioner has unique advantages in the aspects of improving soil organic matter, fixing carbon, providing microelements and especially regulating and controlling the activity of soil microorganisms; advanced complementation and synergistic interaction of all the components are achieved, and the comprehensive treatment requirement of complex degraded soil can be better met.

The invention relates to the technical field of soil detection, and particularly discloses a rapid soil heavy metal pollution detection method based on a spectrum technology, which comprises the following steps: obtaining dual-band spectral reflectivity data and temperature and humidity parameters of to-be-detected soil, carrying out spectral characteristic compensation, generating a spectrum curve, and obtaining environment compensation parameters; extracting spectral characteristic parameters from the spectral curve, combining the spectral characteristic parameters to construct a multi-dimensional spectral characteristic matrix, and inputting the multi-dimensional spectral characteristic matrix into a CNN-RF hybrid model for soil heavy metal pollution detection to obtain a heavy metal pollution detection result. According to the method, in-situ lossless rapid detection of the soil heavy metals is achieved through the dual-band spectrum and the environment dynamic compensation technology, interference of environmental factors on spectral measurement is effectively reduced, the detection efficiency is improved, the pollution condition of the heavy metals in the soil is accurately recognized through the CNN-RF mixed model, the reliability and precision of soil heavy metal pollution are improved, and the method is suitable for popularization and application. Corresponding treatment measures can be taken in time, and the safety of the soil environment is guaranteed.

The invention discloses a lead-zinc mine ecological restoration method driven by combination of pennisetum purpureum and soil microorganisms. After soil in a to-be-repaired area of a mine is loosened and conditioned, pennisetum purpureum is planted, different microorganisms A and microorganisms B are introduced before and after the pennisetum purpureum is planted respectively, the microorganisms A are composed of metal reducing bacteria and sulfate reducing bacteria, the microorganisms B are composed of heavy metal tolerant microorganisms and symbiotic nitrogen-fixing bacteria, and the heavy metal tolerant microorganisms and the symbiotic nitrogen-fixing bacteria can be obtained through the method that the different microorganisms are introduced in sequence. Heavy metals in the mine soil are transformed and absorbed for multiple times, and ecological restoration of the mine is realized. Through the combined action of microorganisms and plants, accumulation of organic matter in soil can be promoted, the diversity and activity of soil microbial communities can be restored, finally, restoration of a soil ecological system is achieved, in the restoration process, the root system of the pennisetum purpureum can assist in enhancing the structure and permeability of the soil through symbiosis with the microorganisms, and the soil quality is improved. And a foundation is laid for future ecological restoration.

The invention relates to an organic matter near infrared spectrum inversion method and device for removing moisture based on radiation. The method comprises the steps that after a soil sample is pretreated, multiple moisture content gradients are regulated and controlled, the natural moisture permeation state is simulated, visible light-near infrared spectrum data and the organic matter content are collected, and a soil spectrum library is constructed; quantifying the interference weight of moisture on the spectrum by using a physical radiation transmission model to obtain a preliminary correction spectrum; moisture and organic matter features are extracted through a deep learning multi-branch architecture, a moisture characterization index is constructed, cross-domain feature alignment is realized in combination with a domain adversarial network, and an accurate correction spectrum is obtained; all the modules are integrated to construct a soil moisture elimination reconstruction spectrum model, after layered verification and iterative optimization, a to-be-detected soil spectrum is input into the model, organic matter content near infrared spectrum inversion is completed, and a result is output. According to the method, moisture interference is removed through combination of physical radiation and deep learning, the inversion precision is improved, and the method is suitable for rapid detection of organic matters in various moisture-containing soil.

The invention discloses a vegetation and soil coupling coordination evaluation method in a mine ecological restoration process, which comprises the following steps: collecting monitoring data and related data of vegetation and soil in the mine ecological restoration process, and preprocessing the monitoring data and the related data; performing time-varying screening on the monitoring data to obtain time-varying data, and performing coupling coordination analysis on the time-varying data to obtain coordination data; performing objective weighting on the time-varying data according to the restoring force to obtain a weight coefficient, and constructing a vegetation and soil coupling coordination evaluation model according to the coordination data and the weight coefficient; and optimizing the vegetation and soil coupling coordination evaluation model according to the related data, inputting to-be-evaluated data into the vegetation and soil coupling coordination evaluation model, and outputting an evaluation result. The method not only can improve the precision of vegetation and soil coupling coordination evaluation, but also has good interpretability, and can be directly applied to a vegetation and soil coupling coordination evaluation system.

The invention relates to the technical field of saline-alkali soil improvement, and discloses a composite improved saline-alkali soil composition based on biomass charcoal and a preparation method thereof.Biomass charcoal, glucose, lactic acid bacteria, saccharomycetes, aluminum sulfate and a quaternary ammonium salt modifier are added into a stirrer to be stirred and mixed, stirring is conducted, and a mixture is obtained; and obtaining the composite improved saline-alkali soil composition based on the biomass charcoal. A quaternary ammonium salt group in the quaternary ammonium salt modifier can reduce the pH value of the soil and reduce the alkalinity of the soil, so that the salinization condition of the soil is improved, and quaternary ammonium salt can promote the activity of soil microorganisms and improve the fertility of the soil and the growth environment of crops; the siloxane is converted to be neutral by adjusting the pH value of the soil, the siloxane is beneficial to reducing the alkalinity of the soil, and a more suitable growth environment is provided for plants; wherein the contained boric acid group reduces the pH value of the soil by neutralizing alkaline substances in the soil, and has a relatively good improvement effect on the saline-alkali soil.

The invention provides an evaluation method and system based on soil buffer capacity, and relates to the technical field of soil evaluation.The method comprises the steps that a microbial community diversity index is coded to serve as a genotype of a genetic algorithm; randomly generating an initial population, wherein each individual represents one environment factor combination; calculating the fitness value of each individual, carrying out selection, crossover and mutation operations, and repeating genetic operations until a termination condition is met so as to obtain a final key environment factor combination; obtaining microorganism activity data according to the soil respiration rate in the microorganism sample; and according to the final key environment factor combination, the microbial activity data and the trained neural network model, predicting a soil buffer capability value. According to the method, the buffer capacity of the soil can be evaluated more accurately.

The invention discloses a soil ecological restoration method suitable for plant transplantation and a plant transplantation method, and relates to the technical field of soil ecological restoration, and the method comprises the following specific implementation steps: S1, soil evaluation; s2, pollutant treatment; s3, soil improvement; s4, covering and protecting soil; in the step S1, the structure, texture, pH value, nutrient content, pollutant level and the like of the soil are comprehensively analyzed; the method comprises the following steps: testing the pH value and saline-alkali content of polluted soil needing planting, digging away soil with high saline-alkali content, and backfilling soil with low saline-alkali content; or an isolation system is arranged, materials such as lime and slag are used for isolating saline-alkali soil from alien soil, films and the like are transversely used for isolating surrounding saline-alkali soil, and the cost is low. According to the soil ecological restoration method suitable for transplanting the plants and the plant transplanting method, the water content and permeability of the soil are improved through layer-by-layer improvement of the soil, the physical properties of the soil are improved, and growth of the plants is facilitated.

The invention discloses a soil acidification improvement method, and relates to the technical field of soil improvement, according to the soil acidification improvement method, evaluation of soil attributes is completed through multi-level diagnosis and calculation of the acidification coefficient, the physical obstacle coefficient and the buffer capacity coefficient of soil, and comprehensiveness of soil acidification analysis is ensured. The problem of limitation existing in the current soil acidification analysis process is solved, meanwhile, a threshold value is used for driving decision control flow branches, an improvement scheme is flexibly upgraded based on real-time monitoring data, the soil improvement effect is improved, closed-loop learning double feedback and S6, data are fed back to S1, self-optimization of the system is achieved, the system adapts to soil changes, and the soil acidification analysis efficiency is improved. An abnormal state after improvement is warned in time, so that the soil safety is guaranteed; the method is suitable for the fields of land restoration and the like, the soil improvement efficiency is improved through data-driven intelligent decision, resource waste is reduced, soil acidification is improved and upgraded, and a technical engine is provided for agricultural sustainable development and cultivated land protection.