1294 results about "Edaphic" patented technology

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 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 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 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 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 relates to the technical field of mountain afforestation, provides an efficient nursery stock planting method suitable for mountain afforestation, and aims at solving the problems that in existing mountain afforestation, planting is not standard, the survival rate is low, the water and soil conservation capacity is weak, and the labor intensity is high. The forest space layout is optimized, and the water and soil conservation capability is enhanced; the mellow soil and immature soil layered stacking and backfilling technology is adopted, the natural structure of the soil is recovered, and the root zone microenvironment quality is improved; a fertilizer isolation layer is arranged and degradable container seedlings are implanted, so that the risk of root burning is avoided, the integrity of root systems is protected, and the survival rate of the seedlings is remarkably increased; by combining root fixing water slow irrigation, water retention covering and slope water collection and soil conservation structures, natural rainfall is effectively utilized, evaporation and runoff are reduced, and water saving and drought resisting are achieved; the whole process flow is standard, the replicability is high, and the dependence on artificial experience is reduced.

The invention relates to the technical field of soil improvement, and discloses a sandy grainfield soil organic matter quality improvement and increment method which comprises the following steps: comprehensively detecting soil, preparing an improvement material according to a comprehensive detection result, and deeply ploughing and returning the soil to the field; planting multifunctional intercrops, and crushing, turning and pressing the multifunctional intercrops into a soil layer to perform in-situ green manure returning from the full-bloom stage to the initial pod stage of the multifunctional intercrops; a polymeric organic-inorganic composite conditioner is applied; applying water, fertilizer and bacteria integrated regulation and control based on micro-spray irrigation; and high-stubble no-tillage straw covering and annual monitoring are implemented. According to the method, the organic matter, porosity and the like of the soil can be remarkably improved, and the ecological environment of the soil is remarkably improved.

A leaching and desalinating system for sandy soil in estuarine land reclaimed by sand blowing before planting greenery is provided. The leaching and desalinating system comprises a water pump and pipe assembly, a freshwater storage tank and a main diverting and draining channel. The water pump and pipe assembly lifts freshwater from a river to the freshwater storage tank through a water delivery pipe, multiple infiltration parts in which greenery is planted are provided on the waterside slope, the infiltration parts are connected to each other via multiple drainage infiltration channels. The present disclosure can quickly desalinate the sandy soil in land reclaimed by sand blowing at a low cost, improve the physicochemical properties of the soil, and provide a basic guarantee for the subsequent greenery planting on the sandy soil in land reclaimed by sand blowing.

A layered fertilizer applicator capable of penetrating into soil for forestry cultivation relates to the technical field of agriculture and is characterized in that a lifting plate is slidably arranged on the front side of a cart through a slide rail pair, an electric telescopic rod is fixedly arranged at the upper part of the cart, one end of the electric telescopic rod is connected with the lifting plate, and a driving box is fixedly arranged on the front side wall of the lifting plate; the upper end of the vertical pipe is connected with the fertilizer storage box through a material conveying hose, three driving cylinders are rotationally connected into the driving box through bearings, a worm meshed with the three worm wheels is fixedly arranged on an output shaft of the motor, and one end of the worm is rotationally connected with the inner wall of the driving box through a bearing; the rotating cylinders are rotationally arranged at the bottom of the driving box through thrust ball bearings, the upper ends of the rotating rods movably penetrate through the rotating cylinders and the driving cylinders and then are movably inserted into the vertical pipes, and the three rotating rods are fixedly sleeved with the spiral cutters correspondingly, so that layered fertilization can be achieved by going deep into soil, and the fertilization effect is improved; and the soil fertilization depth can be adjusted according to fertilization requirements.

The invention discloses a grounding grid electric heating power multi-field coupling modeling method and system considering soil nonlinear breakdown, and belongs to the technical field of power system grounding grids. The method comprises the following steps: establishing a three-dimensional geometric model containing a soil domain and a grounding grid conductor; defining non-linear conductivity characteristics of the soil; setting multi-physical field parameters and corresponding boundary conditions of the three-dimensional geometric model; and establishing a multi-physical field coupling control equation set including an electric field equation, a heat conduction equation and a thermal stress equation, and solving by adopting a finite element method to obtain three-dimensional space distribution data of the grounding grid under lightning current impact. According to the invention, on the basis of fully considering the nonlinear breakdown characteristic of the soil, the accurate simulation of the electric heating power multi-physical field behavior of the grounding grid under the impact current effect is realized, and the accuracy of impact impedance, potential distribution and temperature rise prediction is obviously improved.

The invention provides a method suitable for water retention of soil with different textures. In order to better perform size matching between the biochar and soil particles, particle size grading is performed on the biochar according to the size of soil aggregates, and three kinds of biochar with the particle size larger than 2.0 mm, the particle size ranging from 0.25 mm to 2.0 mm and the particle size smaller than 0.25 mm are obtained. The three kinds of biochar with different particle sizes are used in different types of soil respectively, and 5% of biochar with the particle size of 0.25-2.0 mm is selectively applied according to the water retention requirement of the arid area loam farmland; according to the drainage requirements of loam waterlogging areas with more rainfall, 5% of biochar with the particle size larger than 2.0 mm is selectively applied; and 5% of biochar with the particle size smaller than 0.25 mm is selectively applied for water and soil conservation of sandy soil in the arid region. By scientifically regulating and controlling the particle size and the application amount of the biochar, the biochar is matched with the specific properties of the soil, so that the water retention capacity of the soil is improved, and the soil efficiency is improved.

In a first step, a pretreatment for measuring a moisture characteristic of soil is performed. The pretreatment can be removal of moisture from the soil of interest. For example, removing water that is a cause of a soil mass can be the pretreatment. Next, in a second step, the moisture characteristic of the soil subjected to the pretreatment is measured. The moisture characteristic is a water content of the soil. In addition, the moisture characteristic is a matrix potential value at a specified soil water content. Next, in a third step, the corrosion of the metal member buried in the soil is estimated from the measured moisture characteristic.

Systems and methods for measuring the content of an element in a soil comprises: a neutron source for irradiating the soil with neutrons; a detector assembly configured to detect an INS gamma spectrum of the soil; an instrument for measuring a moisture content of the soil; and a processor in communication with the detector assembly, the processor configured to: apply a moisture calibration coefficient to calculate a net peak area of a characteristic peak of the element in the INS gamma spectrum, the moisture calibration coefficient calculated to account for the moderation of fast neutrons by hydrogen atoms of water present in the irradiated soil at the location under analysis; and generate a concentration of the element in the soil. The instrument for measuring a moisture content of the soil may comprise the detector assembly. Systems and methods incorporating a temperature-controlled housing for the gamma detector assembly are also provided.

An unmanned aerial vehicle (UAV), such as a multicopter, can be equipped with unique tools for use in agricultural operations. For example, the tools can be acquisition tools that can acquire a physical sample from a growing plant, such as a crop. The tools could also acquire physical specimens from areas around the plants. In addition, the UAV could be equipped with sensors, such as imagery acquiring devices (e.g., cameras, LIDAR, time of flight sensors, etc.) to acquire even additional information. The tools can be equipped via movable arms and / or end effectors to be able to directly contact the plants and / or soil. The longevity of the flight time of the UAV can be improved by tethering, improved batteries, or other add-ons to be able to acquire more information.

The utility model provides a composite side slope monitoring device. The composite side slope monitoring device comprises a monitoring box body and a remote monitoring terminal, the monitoring box body can be buried in soil of a slope in a pick-and-place manner, and a sensor, a signal processing unit and a power supply unit are arranged in the monitoring box body; the sensor comprises a water content sensor for monitoring the water pressure change in soil, a soil pressure sensor for monitoring the pressure change of the soil, and a displacement and inclination sensor for monitoring and recording the displacement and inclination angle of the slope structure; the signal processing unit converts analog signals of the sensors into digital signals and transmits the digital signals outwards. The power supply unit is electrically connected with the sensors and the signal processing unit; the remote monitoring terminal is in signal connection with the remote transmitter and receives monitoring signals of the remote transmitter. The provided composite slope monitoring device can solve the problems that in a traditional soil slope monitoring scheme, arrangement of sensors is complex, and data collection is difficult, and the accuracy and real-time performance of geological disaster early warning are effectively improved.

The invention discloses a dense-phase carbon dioxide pipeline leakage simulation system and method.The experimental device comprises a carbon dioxide injection device, a pressure-bearing container, a pressure-bearing pipeline, a temperature monitoring device and a temperature collecting device, and the carbon dioxide injection device is provided with a fluid outlet used for outputting dense-phase carbon dioxide; the pressure-bearing container is provided with a pressure-bearing cavity used for being filled with soil, the pressure-bearing pipeline is arranged in the pressure-bearing cavity, the pressure-bearing pipeline is connected with the fluid outlet, the pressure-bearing pipeline is provided with a leakage opening, the temperature monitoring device comprises a plurality of temperature sensors, the temperature sensors are arranged in the pressure-bearing cavity at intervals, and the temperature sensors are all electrically connected with the temperature collecting device. And the temperature acquisition device is used for receiving and processing the soil temperature monitored by the temperature sensor. The experimental device provided by the embodiment of the invention can simulate and verify the influence and diffusion rule of dense-phase carbon dioxide pipeline transportation leakage on soil temperature distribution, and provides a theoretical basis for dense-phase carbon dioxide leakage prevention and control and emergency disposal in practical application.

A method for simulating cross-seasonal heat storage of a buried pipe well group in a geothermal reservoir is characterized in that hot water and cold water are respectively injected in different seasons by arranging different injection ports in a countercurrent cross injection mode, so that a relatively balanced temperature distribution pattern of a'hot area 'and a'cold area' is formed in a stratum, and the volume structure of a buried pipe is simplified into a line unit model; discretizing the pipeline area by adopting a finite element method; on the basis, initial temperature field distribution of soil and initial parameters of fluid in a buried pipeline unit are set, a proper numerical solution method is selected to solve the pipeline unit model, and the stability of the calculation process and the accuracy of the result are ensured through real-time monitoring; in order to further analyze the influence of underground water seepage on the system performance, an underground water seepage module is introduced, and the difference between summer refrigeration and winter heat supply effects under the seepage condition or not is compared and researched; the invention further comprises a system, equipment and a storage medium for implementing the method.

The invention provides a soil health evaluation method. The method comprises the following steps: acquiring community characteristics of soil arthropods of to-be-evaluated soil; the soil arthropods are selected from at least one of diptera arthropods, arthropods of arachnids, coleoptera arthropods, hymenoptera arthropods and lepidoptera arthropods; the community characteristics comprise species composition and relative abundance of species; predicting soil indexes according to the community characteristics; the soil index is selected from at least one of a soil physicochemical index, a soil degradation index and a soil health index; the soil physical and chemical indexes are soil pH, soil total carbon, soil organic carbon and soil total nitrogen; the soil degradation indexes comprise a soil pH degradation index, a soil total carbon degradation index, a soil organic carbon degradation index and a soil total nitrogen degradation index; the soil health index is determined based on soil pH, soil microbial biomass nitrogen, soil respiration rate, soil total carbon, soil organic carbon, soil total nitrogen and soil bulk density; and performing soil health evaluation based on the soil indexes.

The invention belongs to the technical field of regional soil pollution evaluation and risk management, and particularly relates to a pollution grading evaluation and point source pollution identification method based on a regional soil environment background. The method comprises the following steps: determining a target area range and soil target pollutants; obtaining a current-stage soil environment background concentration data set of the target area, and calculating a statistical index of the data set; arranging regional soil pollution monitoring points, and monitoring the target pollutant content of the soil sample; and finally, the constructed pollution index evaluation model based on the soil environment background is adopted to calculate the single or combined pollution index of the soil at each point, the regional soil pollution grade and the environment quality are quantitatively evaluated, and the soil pollution point source is further identified. According to the method provided by the invention, based on the soil environment background content, the uncertainty of overestimation of non-point source pollution in a traditional soil pollution evaluation method is optimized, and the point source pollution point location can be accurately positioned.

The invention provides a soil sampling device for soil analysis, and relates to the technical field of soil analysis. A depth sensing module, an intelligent sampling rod, an analysis and feedback module and a reinforcement learning module are integrated. The optimal sampling depth is predicted through the ultrasonic detection and near infrared scanning technology and the deep learning model. The intelligent sampling rod controls the sampling depth, the sampling amount, the vertical rotating force and the vertical rotating direction according to set parameters. The analysis and feedback module integrates various types of microsensors, monitors the pH value, conductivity and moisture of soil in real time, pretreats a sample, and obtains a soil component overview through spectral analysis. And the reinforcement learning module continuously updates and optimizes a sampling strategy through real-time data feedback and cloud computing. The display module visually displays real-time data, supports mode switching, planning and recording, and is simple and convenient to operate. According to the method, multiple methods such as deep learning and reinforcement learning are combined, the accuracy and efficiency of soil sampling are improved, and powerful technical support is provided for soil analysis.

The invention provides a soil comprehensive nutrient evaluation method and device based on a satellite remote sensing image, equipment and a medium. The method comprises the following steps: acquiring a Sentinel-2 multispectral image, cultivated land vector boundary data and actually measured soil nutrient data of a target area; establishing a multiple linear regression model by utilizing the wave band reflectivity of the Sentinel-2 multispectral image and actually measured soil nutrient data, generating a region-level nutrient content grid map, and extracting a nutrient content grid map of soil in a cultivated land range of a research region; classifying the grid map by adopting a spatial constraint natural breakpoint method clustering target function; a three-digit decimal code is adopted to represent a grading result, a soil comprehensive nutrient spatial distribution diagram is generated, coordinated color matching is set, various areas and proportions of soil comprehensive nutrients are counted, and fertilization suggestions are given, so that the defects of single sensing dimension and disjunction of decision support during remote sensing monitoring of the soil nutrients are overcome; and a closed loop serving precision agricultural practice is difficult to form.

An ex situ electrokinetic system and method for decontaminating soils and other fine-textured media, including salt-contaminated soil, is disclosed. The system consists of a series of unit processes that continuously remove inorganic and organic contaminants yielding a final decontaminated product. The initial soil conditioning unit process produces a homogenous slurry saturated with a customised electrolyte. The next unit process uses electroosmosis and electromigration along with hydraulic pressure to move electrolyte and dissolved ions through the slurry. The contaminants are released into the electrolyte and are removed at the cathodes. The last unit process removes residual electrolyte and contaminants producing a final product suitable for land application or other uses.

The invention relates to the technical field of water demand prediction, in particular to a crop water demand prediction method and system based on the agricultural Internet of Things, and is applied to accurate moisture management in complex soil structures such as terraces. And in combination with the dynamic weight of interlayer moisture migration, the moisture absorption matrix is updated in real time. Through time sequence sliding and cosine similarity calculation, a moisture retention time matrix is dynamically corrected, and accurate distribution of soil moisture is ensured. A graph theory algorithm is introduced to construct a directed graph model of a water flow path, an interference matrix is generated in combination with binary masks, matching of water absorption and water retention time is optimized, and the irrigation efficiency and the water resource utilization rate are improved. The irrigation strategy can be dynamically adjusted according to the moisture state between the soil layers, moisture waste is avoided, and the accuracy of crop growth moisture supply is improved.

The invention belongs to the technical field of soil sampling, and discloses a black soil monitoring and sampling device and a sampling method.The black soil monitoring and sampling device comprises a soil loosening drill bit, a driving rod fixedly arranged at the top of the soil loosening drill bit, a small drill bit fixedly arranged at the position, close to the lower portion, of the outer wall of the driving rod, and a mounting frame rotationally arranged at the top of the driving rod; the handle is fixedly installed at the top of the installation frame, the control motor is fixedly arranged at the top of the installation frame and used for driving the driving rod to rotate, the supporting frame is rotationally arranged on the driving rod and located between the small drill bit and the installation frame, the supporting frame is in a cross shape, and the four corners of the supporting frame are round. Through cooperation of structures such as a sampling barrel, a closed ring and an adjusting assembly, soil at different depths can be conveniently and accurately sampled at the same time, and the problem that an existing sampling device is not convenient to differentiate and sample the soil at different depths, and the sampling result is easily inaccurate is solved.

The invention provides a method for repairing degraded moso bamboo forest soil. The method comprises the following steps: selecting a degraded moso bamboo forest; the moso bamboo forest is divided into a plurality of strip-shaped areas according to a high-density-low-density classification mode, and high-density areas and low-density areas which are distributed alternately are formed; the moso bamboo forest is subjected to strip-shaped thinning treatment, strip-shaped areas are divided according to a high-density-low-density classification mode, and moso bamboos of different growth ages are subjected to thinning according to a certain proportion; performing soil preparation treatment on the moso bamboo forest after thinning; planting nitrogen-fixing plants in the soil under the moso bamboo forest; and treating the soil under the moso bamboo forest by using a soil conditioner. According to the method for restoring the degraded moso bamboo forest soil, arbor layer-under-forest-soil integrated restoration is achieved, systematic improvement is conducted on multiple links of thinning, nitrogen fixation and fertilization, the content of N in the soil and the content of organic matter in the soil are increased, and the diameter at breast height of new bamboo is increased.

The invention relates to the technical field of image processing, and relates to an unmanned aerial vehicle-based rice field soil heavy metal dynamic monitoring method and system, and the method comprises the steps: obtaining image data of a rice field region, and determining a first heavy metal index of rice field soil in the image data through a preset water body absorption index; dividing the rice field area into a plurality of rice field sub-areas, and obtaining a second heavy metal index corresponding to each rice field sub-area; determining a spatial stability coefficient and a time trend coefficient by using the second heavy metal index; determining a comprehensive quantitative index by using the spatial stability coefficient and the time trend coefficient, and determining a heavy metal monitoring result of the soil in the rice field region according to the comprehensive quantitative index; according to the method, the influence of environmental interference on data accuracy is reduced by inhibiting water body signals, after soil heavy metal indexes of all areas are obtained, time-space associated comprehensive indexes are constructed to quantify the change condition of heavy metal pollution in the areas, and dynamic monitoring of the rice field heavy metal is implemented according to the quantitative result.

The invention discloses a method for improving saline alkali soil through organic-inorganic coupling, and relates to the technical field of soil treatment.The inner side of a series-connection whole supporting frame is equidistantly provided with a plurality of transposition motors through motor bases, output shafts of the transposition motors are connected with transposition gears in a clamped mode, and the top end of the series-connection whole supporting frame is rotationally connected with an integration gear; the device effectively solves the problems that in the prior art, inorganic materials and organic materials are directly put into soil, pre-desalination and dealkalization treatment is not carried out on the soil, the soil is not subjected to salt removal and alkali removal treatment, and the soil is not subjected to salt removal and alkali removal treatment, so that the soil is not subjected to salt removal and alkali removal treatment, and the soil is not subjected to salt removal and alkali removal treatment. The saline-alkali environment affects the reaction speed of inorganic materials and organic materials with the soil, and through pretreatment desalination and independent reaction of part of the inorganic materials, neutralization treatment and salt and alkali reduction treatment of the soil are achieved, so that the saline-alkali concentration of the soil is reduced, and the situation that the overall reaction speed is affected by high-concentration saline-alkali is avoided.

The invention discloses a method for biologically repairing soil by using crude oil degrading fungi, and belongs to the technical field of microorganisms and biology. The method comprises the following steps: step 1, directionally screening strains of the crude oil degrading fungi; step 2, function enhancement of the screened strains; 3, preparing a repair carrier; and 4, carrying out gradient process and composite flora synergistic remediation. According to the method, indigenous fungi are screened and separated in a crude oil pollution area, the screened strains are subjected to adaptive laboratory evolution, the degradation capacity and the environmental endurance capacity are enhanced, a preparation process of composite microspheres is combined, adsorption-degradation efficient remediation of crude oil pollution is achieved, and a gradient process and other biological methods are used for cooperating remediation measures; the remediation effect is further enhanced, the natural ecological environment is stably restored, secondary pollution in the remediation process is avoided, and the risk of ecological pollution is reduced.

The invention provides an undisturbed soil collecting device which comprises a drill rod capable of being driven to rotate, and a sampling barrel concentric with the drill rod is inserted into the bottom of the drill rod in a protruding mode. And a first ring cutting head synchronously rotating with the drill rod sleeves the outer side of the sampling barrel. The first girdling head can downwards and annularly cut soil, so that the soil positioned on the inner side of the first girdling head enters the sampling barrel to form an undisturbed soil sample. The soil discharging assembly can be driven by rotation of the drill rod to grind soil on the periphery after annular cutting and then convey the soil to the spiral blade, and the soil is directionally conveyed to the outside of the earth surface through the spiral blade. The drill rod adopts a downward annular soil cutting mode, the centripetal extrusion force on soil during soil sampling is reduced, compaction of an undisturbed soil sample is avoided, the undisturbed property of the undisturbed soil sample is kept, the redundant peripheral soil after annular cutting is rapidly ground and conveyed out of the earth surface in cooperation with the use of the soil discharging assembly and the spiral blades, and the soil sampling efficiency is improved. And the resistance of the drill rod during downward annular cutting and soil sampling is greatly reduced, so that the sampling barrel achieves the effect of sliding downwards into the soil during downward soil sampling.