24 results about "Soil chemistry" patented technology

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 relates to the technical field of agricultural resources and environment, and particularly discloses a rapid fertilization improvement method for newly-reclaimed red soil dry land. The method systematically integrates the core steps of soil diagnosis aluminum toxicity passivation, composite conditioner deacidification, two-stage deep ploughing, organic and inorganic biological synergistic fertilization, soil moisture content regulation and control, earth surface covering, green manure planting and returning to the field and the like. The applied composition comprises a soil composite conditioner, a charcoal-based organic fertilizer and a specific functional microbial agent, wherein the soil composite conditioner comprises modified oyster shell powder, a calcium magnesium phosphate fertilizer, humic acid, polyglutamic acid and the like. The method relates to key processes such as temperature programming calcination modification of raw materials, co-pyrolysis and composite granulation of the materials and the like. The method can synchronously and quickly improve the chemical and biological properties of soil and optimize the physical structure of a plough layer, and has the advantages of high improvement targeting, synergistic interaction of all steps, high fertilizing speed and lasting effect; in addition, the method has the advantages of being coherent in process, high in resource utilization efficiency and easy to implement on a large scale.

A system and method for determining optimal sampling parameters is described. The method gathers soil data from a soil data source, which is associated with a soil organic carbon (SOC) project area. The crop prediction engine then determines that the soil data is less than optimal, but that the soil data is sufficient to generate an optimal sampling plan. The method completes a Monte Carlo simulation, which generates an empirical sampling distribution. The optimal sampling plan is determined by defining a margin of error, which provides a deviation from a predictive analysis of measured soil chemistry for a plurality of collected soil samples, and performing Monte Carlo simulations that include one Monte Carlo simulation having a lowest sampling density that satisfies the margin of error. The optimal sampling plan has the lowest sampling density and includes one or more sampling locations.

The invention relates to the technical field of carbon sink prediction management, and discloses an LCA-based tea garden full-flow carbon metering system, which comprises the following steps: analyzing a tea garden into ladder surfaces, ladder walls and inter-row landform units, and constructing a runoff transportation network; calculating chemical activity parameters representing residual polyphenol release potential and mineral interface reaction sensitivity parameters representing interaction of organic carbon and iron; the primary soil carbon mineralization is checked based on the positive excitation effect in the vertical dimension, and the lateral organic mineral leaching flux which is driven by a ligand dissolution promoting mechanism and has a nonlinear amplification attribute is quantified in the lateral dimension; and generating a management optimization scheme for avoiding the lateral leaching risk. According to the method, the problem of carbon footprint accounting distortion caused by neglecting a tea garden microtopography hydrological process and a soil chemical mechanism in the prior art is solved, and accurate prediction and low-carbon management of carbon emission in a complex mountain tea garden scene are realized.

The invention provides application of trichoderma evergreen in relieving continuous cropping obstacles of ginseng or salvia miltiorrhiza, and relates to the technical field of crop cultivation. Through deep research and creative labor, the trichoderma evergreen Tri403 can effectively relieve soil chemical property deterioration and soil microorganism change after continuous cropping of the ginseng or the salvia miltiorrhiza, further can improve the soil chemical property after continuous cropping of the ginseng or the salvia miltiorrhiza, increases the relative abundance of beneficial bacteria in the soil, inhibits the relative abundance of harmful bacteria, and improves the yield of the ginseng or the salvia miltiorrhiza. Meanwhile, the content of effective components of ginseng or salvia miltiorrhiza can be increased, and the quality of continuous cropping ginseng or salvia miltiorrhiza is improved.

The application discloses a granular fertilizer for improving saline-alkali soil based on traditional Chinese medicine active matter cooperation and multi-stage endogenous controlled release, and a preparation method and application thereof. Fermented straw is used as a core organic carrier, and milk and a traditional Chinese medicine (Astragalus, licorice, honeysuckle and the like) active matter collection rich in amino acids and proteins are introduced innovatively in the fermentation process, so that the quality and biological activity of the carrier are improved significantly. The carrier can not only be dissolved quickly to create a high-activity microenvironment for functional microorganisms, but also cooperates with the traditional Chinese medicine active matter to build a whole-chain ecological restoration network covering soil chemical improvement, biological cycle acceleration, plant stress resistance induction and soil-borne disease prevention. In combination with a four-fold endogenous protection system of microorganisms, an internal intercommunication porous structure formed by low-temperature compression and quantitative regulation of the coating thickness, the functional bacterial population has an ultrahigh survival rate, the saline-alkali and biological obstacles are improved synchronously, and the nutrient intelligent release is realized.

This invention relates to a method for determining the oxidation time of potassium permanganate during the determination of active organic carbon in soil, and a method for determining the content of active organic carbon in soil, belonging to the field of soil chemistry. The method of this invention includes the following steps: determining the content of active organic carbon in soil samples under different oxidation times when potassium permanganate solution is mixed with soil samples for oxidation reaction; establishing a functional relationship y = f(x) between active organic carbon content and oxidation time through data fitting; and taking the x value corresponding to the minimum second derivative of the function f(x) as the potassium permanganate oxidation time. This method can determine the potassium permanganate oxidation time during the determination of active organic carbon in soils of different regions and with different organic carbon content levels, avoiding situations where some samples have incomplete oxidation of active organic carbon or where some samples have inactive organic carbon oxidized, thereby reducing test errors and improving the accuracy of test results.

This invention provides a chemical remediation system for contaminated soil, belonging to the technical field of soil remediation. It includes a storage trough, the interior of which is a soil remediation area. A frame is positioned at the center of the storage trough, and a chemical cartridge is housed within the frame. A lower rotating frame and an upper rotating frame are coaxially rotatably connected to the frame. A spray pipe is radially arranged along the storage trough on the outer side of the lower rotating frame, and a spraying component is mounted on the lower rotating frame to draw the chemical from the cartridge into the spray pipe. A soil storage cylinder is positioned above the upper rotating frame, and a spreading pipe is radially arranged along the storage trough on the outer side of the upper rotating frame. A conveying component is mounted on the upper rotating frame to transport soil from the storage cylinder to the spreading pipe. A drive mechanism is provided on the frame to rotate either the upper or lower rotating frame independently. This invention enables the application of a layer of chemical agent after each layer of soil is laid, significantly improving the mixing uniformity between contaminated soil and chemical agents while spreading large quantities of soil. Furthermore, it eliminates the need for sieving and stirring devices, ultimately improving the efficiency and effectiveness of soil remediation.

The invention belongs to the technical field of soil chemical analysis, and relates to a method for determining intracellular beta-glucosidase in acid soil, which comprises the following steps: 1) preparing a reagent for a chloroform fumigation method, a reagent for a salicin colorimetric method and a phosphate buffer solution; 2) pre-culturing the soil sample to be tested; 3) dividing the test soil samples into a fumigation group and a non-fumigation group, and performing chloroform fumigation treatment on the fumigation group; 4) respectively adding a phosphate buffer solution and a salicin colorimetric method reagent into the test soil sample in the unfumigated group and the test soil sample subjected to chloroform fumigation treatment, and culturing; (5) respectively measuring the light absorption values of the test soil sample of the non-fumigated group and the test soil sample of the fumigated group at 510nm of the spectrophotometer and the salicin concentration of the test soil sample; 6) calculating the intracellular beta-glucosidase based on the salicyl alcohol concentration. The method for determining the intracellular beta-glucosidase in the acid soil, provided by the invention, is convenient to operate, high in accuracy and high in feasibility.

The invention belongs to the technical field of informatization agriculture, and particularly relates to a climate-soil synergistic effect-based apple quality multi-index prediction model construction method, which comprises the following steps of: data collection and preprocessing: collecting climate indexes, soil chemical indexes and quality index data corresponding to apple samples, carrying out standardization processing on all continuous variables, and carrying out calculation on the standard variables; dividing a training set and a test set according to a preset proportion; feature engineering: high-order features are constructed based on agronomy knowledge, an engineering feature pool is formed, and the high-order features comprise an interaction feature, a seasonal aggregation feature, a soil-climate balance feature and a ratio feature; according to the method, a systematic basic statistical analysis-high-order feature engineering-two-stage modeling research framework is constructed, the limitation of traditional single-factor linear analysis is broken through, the nonlinear synergistic effect of climate-soil factors is effectively captured, and high-quality feature input and a scientific modeling thought are provided for apple quality prediction.

The invention provides application of trichoderma atroviride in relieving continuous cropping obstacles of ginseng or salvia miltiorrhiza, and relates to the technical field of crop cultivation. Through deep research and creative labor, the trichoderma atroviride Tri802 can effectively relieve soil chemical property deterioration and soil microorganism change after continuous cropping of the ginseng or the salvia miltiorrhiza, further can improve the soil chemical property after continuous cropping of the ginseng or the salvia miltiorrhiza, increases the relative abundance of beneficial bacteria in the soil, inhibits the relative abundance of harmful bacteria, and improves the yield of the ginseng or the salvia miltiorrhiza. Meanwhile, the content of effective components of ginseng or salvia miltiorrhiza can be increased, and the quality of continuous cropping ginseng or salvia miltiorrhiza is improved.

The invention discloses a biochar granular material and a method for detecting the desorption behavior of adsorbed Ca < 2 + >, and belongs to the technical field of environmental functional materials and soil chemical analysis, and the method is characterized in that Na < + > pretreated biochar reacts with a calcium-strontium mixed solution to prepare a calcium-strontium adsorption type biochar material. Sr < 2 + > is used as an internal mark tracer ion, and the content of Ca < 2 + > desorbed by charcoal in soil or water is calculated by measuring the change of the concentration ratio of Ca < 2 + > to Sr < 2 + > in soil or water before and after desorption. According to the method, expensive 44Ca isotope labeling is avoided, the cost is low, the operation is simple and convenient, the method can be used for accurately evaluating the release behavior of the biochar adsorption state Ca < 2 + > in the environment, and a technical support is provided for application of the biochar adsorption state Ca < 2 + > in agricultural improvement and environmental restoration.

The invention discloses a substation grounding grid corrosion detection and residual life evaluation method and system. The method comprises the following steps: acquiring multi-modal corrosion characteristic data of a grounding grid, wherein the multi-modal corrosion characteristic data comprises electromagnetic induction eddy current distribution, conductor surface microwave reflection characteristics and soil chemical parameters; generating a comprehensive corrosion index sequence based on a nonlinear adaptive weighted fusion algorithm, and decomposing the comprehensive corrosion index sequence into a trend term, a periodic term and a residual term through variational mode decomposition; predicting corrosion depth distribution and corrosion rate by using a bidirectional long-short-term memory network model of an attention mechanism; calculating the residual conductor section and the dynamic current-carrying capacity by combining a material mechanical property degradation model; and evaluating the residual life probability distribution of the grounding grid under different operation conditions by adopting a Monte Carlo stochastic simulation method. According to the invention, non-contact comprehensive sensing of the corrosion state of the grounding grid and scientific evaluation of the residual life are realized, and accurate decision support is provided for state maintenance.

The invention provides a saline-alkali soil chemical improvement and ecological restoration method which comprises the following steps: S1, performing rotary tillage on soil before planting, arranging according to wide and narrow rows, digging holes in the narrow rows, and applying a composite modifier; s2, coating alfalfa seeds with a suspension containing a rhizobium inoculant, ammonium molybdate and a water-retaining agent, and then sowing; s3, cutting in the initial flowering period of the alfalfa, reserving stubbles of 5-7cm, and crushing fresh grass to cover the wide-row earth surface; and S5, after cutting and before raining, spreading a compound microbial agent containing arbuscular mycorrhizal fungi and cellulose degrading bacteria, and after soil indexes reach the standard, turning and pressing alfalfa stubbles for crop rotation of food crops. Through combination of chemical improvement and ecological restoration, the water and fertilizer retention capacity of soil is improved, heavy metal pollution is relieved, and plant growth is promoted.

The application provides a wood mould in relieving ginseng or salvia miltiorrhiza continuous cropping obstacles, and relates to the field of crop cultivation technology. The wood mould can effectively relieve soil chemical property deterioration and soil microbial change after ginseng or salvia miltiorrhiza continuous cropping, and then can improve the soil chemical property after continuous cropping of ginseng or salvia miltiorrhiza, increase the relative abundance of beneficial bacteria in the soil, inhibit the relative abundance of harmful bacteria, and simultaneously can increase the content of effective components of ginseng and salvia miltiorrhiza, and improve the quality of continuous cropping of ginseng or salvia miltiorrhiza.

The invention provides application of trichoderma haworthia in relieving continuous cropping obstacles of ginseng or salvia miltiorrhiza, and relates to the technical field of crop cultivation. Through deep research and creative labor, the trichoderma haworense Tri401 can effectively relieve soil chemical property deterioration and soil microorganism change after continuous cropping of the ginseng or the salvia miltiorrhiza, further can improve the soil chemical property after continuous cropping of the ginseng or the salvia miltiorrhiza, increases the relative abundance of beneficial bacteria in the soil, inhibits the relative abundance of harmful bacteria, and improves the yield of the ginseng or the salvia miltiorrhiza. Meanwhile, the content of effective components of ginseng or salvia miltiorrhiza can be increased, and the quality of continuous cropping ginseng or salvia miltiorrhiza is improved.

The application discloses a management method for improving farmland soil organic carbon by optimizing pH and phosphorus content, and relates to the technical field of farmland precision management, which comprises the following steps: deploying a multi-parameter intelligent sensor network of multi-dimensional sensing nodes covering pH, phosphorus content and temperature and humidity in a target farmland area, and optimizing the layout of the sensing nodes by using a fruit fly algorithm; and continuously collecting multi-dimensional sensing data of soil pH, available phosphorus content, temperature and humidity by using the deployed multi-parameter intelligent sensor network. The application introduces an organic carbon loss risk model based on reinforcement learning, can autonomously learn and establish a complex nonlinear mapping relationship between soil chemical state and organic carbon loss risk from historical and real-time data, has online reasoning capability, can perform real-time loss risk level evaluation on real-time incoming multi-dimensional sensing data, and triggers early warning based on multi-source verification logic, so that early and accurate identification and early warning of the organic carbon loss risk are realized.

The invention relates to the technical field of ecological benefit evaluation, in particular to a black soil area erosion gully engineering management ecological benefit evaluation method, which comprises the steps of research area and research method, result and analysis, discussion and conclusion. The research region and the research method comprise region research, data collection and measurement and statistical analysis, and the data collection and measurement comprise soil sampling, vegetation investigation, soil chemical indexes and meteorological and topographic indexes. The statistical analysis comprises ecological function evaluation index system construction and a cold region black soil erosion gully treatment ecological function evaluation model. The black soil area erosion gully engineering ecological management method provides a scientific monitoring tool and an effect evaluation standard for erosion gully management. According to the suggestions in future treatment projects, the soil structure is emphatically optimized, and the result is improved; the aggregate content is 0.6 mm; synergistic management of organic matters and nitrogen and phosphorus nutrients is enhanced; and implementing a differentiated and predictive management and protection strategy.

The invention discloses a soil geochemical non-component data generation method based on mass concentration and volume density conversion, and belongs to the technical field of soil geochemical non-component data generation method.The method comprises the steps that a, a soil sample is obtained, b, the mass concentration of target elements in the soil sample is measured, the target elements comprise major elements and microelements, and c, the mass concentration of the major elements is measured; the mass concentration of the main elements is expressed by mass fraction, and the mass concentration of the trace elements is expressed by milligram per kilogram, c, measuring the volume density of the soil sample with the unit of gram per cubic centimeter, and d, calculating the soil chemical density of the target elements according to the mass concentration obtained in the step b and the volume density obtained in the step c through a formula VC = a * MC * BD, vC is the chemical density of the soil, the unit is milligram per cubic centimeter, a is the unit conversion coefficient, and e, taking the chemical density of the soil as the geochemical non-component data of the soil.

The invention provides application of trichoderma koningiopsis in relieving continuous cropping obstacles of ginseng or salvia miltiorrhiza, and relates to the technical field of crop cultivation. Through deep research and creative labor, the trichoderma koningiopsis Tri112 can effectively relieve soil chemical property deterioration and soil microorganism change after continuous cropping of the ginseng or the radix salviae miltiorrhizae, further can improve the soil chemical property after continuous cropping of the ginseng or the radix salviae miltiorrhizae, increases the relative abundance of beneficial bacteria in the soil, and improves the yield of the ginseng or the radix salviae miltiorrhizae. Meanwhile, the content of effective components of the ginseng or the radix salviae miltiorrhizae can be increased, and the quality of the continuous cropping ginseng or the radix salviae miltiorrhizae is improved.

The application discloses a method for promoting growth of peanuts in low-phosphorus soil environment by adding exogenous acid phosphatase, which comprises the following steps: sowing peanut seeds in low-phosphorus soil, after one month of sowing, configuring an acid phosphatase aqueous solution with a concentration of 100 U / mL, and uniformly applying the acid phosphatase aqueous solution into the low-phosphorus soil at a rate of 10 U / kg of soil; detecting photosynthetic indexes of the plants two weeks after the application of the acid phosphatase aqueous solution; after three months of sowing the peanuts, detecting changes in phenotypes and soil chemical properties of the peanut plant samples, and detecting changes in phosphorus-dissolving and nitrogen-fixing bacteria in the rhizosphere soil of the peanuts. The method is scientific and effective, simple to operate, and can provide planting techniques for the growth of peanuts in low-phosphorus nutrient soil, and provide technical support for reducing fertilization and increasing efficiency in peanut planting.

The invention discloses a management method for optimizing pH and phosphorus content to improve farmland soil organic carbon, and relates to the technical field of farmland precise management, and the method comprises the steps: deploying a multi-parameter intelligent sensor network covering pH, phosphorus content, temperature and humidity multi-dimensional sensing nodes in a target farmland region, and optimizing the layout of the sensing nodes through a fruit fly algorithm; the deployed multi-parameter intelligent sensor network is used for continuously collecting multi-dimensional sensing data of soil pH, rapidly available phosphorus content, temperature and humidity. According to the method, the organic carbon loss risk model based on reinforcement learning is introduced, so that a complex nonlinear mapping relation between the soil chemical state and the organic carbon loss risk can be autonomously learned and established from historical and real-time data, and the method has an online reasoning capability; real-time loss risk grade evaluation can be performed on multi-dimensional sensing data which are transmitted in real time, and early warning is triggered based on multi-source verification logic, so that early and accurate identification and early warning of organic carbon loss risks are realized.

The application discloses a growth promoter for improving the seedling emergence rate of cotton in saline-alkali soil, and the salt resistance of cotton seed germination is improved by using rapeseed euricin regulator and GABA permeation regulator; the stable agent formed by strong acid materials such as urea phosphate can quickly reduce the pH value and saline-alkali of the soil tillage layer; meanwhile, the urea phosphate, amino acid, fulvic acid and auxiliary materials provide certain nutrient substances for seedling crops; the cooperation among raw materials fundamentally improves the salt tolerance of cotton seedling, not only improves the seedling emergence rate of cotton, but also can quickly reduce the pH value of saline-alkali soil in Xinjiang after dissolving water, improves the chemical composition of soil, reduces the salt content and alkalinity of soil, creates a good environment for crop growth, and after application, the soil salt content is below 20 g / kg, the pH value is below 7.5, the seedling emergence rate of cotton is above 70%, which is more than 30% higher than that of the control, and the yield of cotton in saline-alkali soil in Xinjiang is significantly increased, thereby providing technical support for rural revitalization.

The invention discloses a soil heavy metal traceability and treatment method based on machine learning regression, and belongs to the technical field of environmental geochemistry and artificial intelligence crossing. Comprising the following steps: acquiring geological background information of a research area, selecting regression indexes capable of reflecting heavy metal properties, and preprocessing; taking the preprocessed data set as a training set, constructing an element specificity machine learning regression model for each heavy metal element, establishing a nonlinear mapping model between the soil chemical components and the heavy metal elements, and training and optimizing the machine learning regression model; and collecting chemical component data of each sampling point in the target area, inputting the chemical component data into the trained machine learning regression model, outputting a heavy metal background predicted value of each sampling point, and determining a natural background value and human input content of the heavy metal. The problem of misjudgment of soil heavy metal heterogeneity is solved, a natural and human source quantitative separation method is established to support accurate traceability treatment, and an element specificity prediction framework is constructed to improve the adaptability of heavy metal elements.