28 results about "Agricultural pollution" patented technology

The invention provides a method for preventing and controlling nitrogen and phosphorus loss of sandy and dry cultivated land based on EICP root reinforcement and relates to the field of soil ecological protection and agricultural pollution prevention and control. According to the method, a three-dimensional prevention and control system is formed from the two dimensions of surface layer film covering protection and deep root system soil fixation through the synergistic effect of EICP film covering and local plant root system three-dimensional reinforcement, wind erosion and water erosion are effectively resisted, the soil nitrogen and phosphorus loss rate of the large-gradient sandy and dry cultivated land is remarkably reduced, and meanwhile the soil desertification process is slowed down; the EICP film covering layer has good water permeability and moisture retention, nitrogen and phosphorus loss can be prevented, rainfall infiltration and soil moisture conservation can be guaranteed, and the germination rate and the growth speed of crops are increased; according to the method, local crop root system reinforcement is selected, the original planting structure is not disturbed, the economic benefit of cultivated land yield per mu is guaranteed, a harmless means of combining microorganisms, geotechnical engineering and agricultural planting is adopted, external pollution sources are not introduced, original basic characteristics of soil are not damaged, and the requirement for ecological protection of the Yellow River basin is met.

The application discloses an agricultural water quality and water quantity dual risk and cascade transmission evaluation method, belongs to the technical field of water resource management, and aims at solving the problem that traditional methods only stay in water quantity depletion caused water resource pressure accounting and ignore the risk caused by substandard water quality; the application comprises the following steps: based on a farmland soil nitrogen budget and hydrodynamics coupling model, quantifying the pollution emission list of subdivided sources in the growth process of specific crops, simulating agricultural pollution dilution water consumption; using a crop water requirement model to calculate the irrigation water consumption of specific crops in the whole growth period; using a source and sink corrected physical flow trade model to analyze the virtual water transfer path hidden in each agricultural product trade link; integrating the production end and the consumption end results to realize high-precision grid agricultural water resource supply and demand imbalance risk evaluation and cascade effect analysis; and the cascade transmission effect of the application in evaluating the water resource risk provides strong support for reasonable allocation of agricultural water resources and improvement of nitrogen fertilizer utilization efficiency.

The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification. The application discloses a CPN multi-pollutant efficient degradation agricultural sewage combined grid coordination purification system and belongs to the technical field of sewage purification.

The application discloses an adaptive method for relieving double risks of water quality and water quantity of agriculture, and belongs to the technical field of water resource management.The method is based on a farmland soil nitrogen balance and hydrodynamics coupling model, quantifies a pollution emission list of subdivided sources in the growth process of specific crops, and simulates agricultural pollution dilution water quantity; a crop water requirement model is used to calculate irrigation water consumption of the specific crops in the whole growth period; a water resource loss evaluation module is established to evaluate potential agricultural yield reduction and economic loss caused by water resource shortage; a scenario library of water and fertilizer coordination strategies is constructed to compare the relieving effects of different adaptive strategies on water quantity depletion type and water quality pollution type water resource risks.The application solves the technical problem that it is difficult to simultaneously cope with water quantity risks and water quality risks to develop targeted adaptive strategies, can effectively relieve water resource pressure, improve the sustainability of agricultural production, realize optimal allocation of water resources, and further guarantee the health of an ecological system.

The utility model provides an unpowered ecological wetland small-sized agricultural pollutant treatment device which comprises a base, an agricultural pollutant flowing structure is arranged at the top of the base, an agricultural pollutant filtering structure is arranged in the agricultural pollutant flowing structure, and a filler body is arranged in the agricultural pollutant flowing structure. The agricultural sewage filtering device is reasonable in design, the agricultural sewage filtering structure can be separated from the filtering bin through the arranged agricultural sewage filtering structure capable of being lifted, then different filtering layers are directly pushed towards one side, the filtering layers can be rapidly replaced, and the situation that the filtering layers needing to be replaced can be replaced only by taking out the different filtering layers layer by layer is not needed.

The invention provides a preparation method of a CoO / CoP-LIG heterojunction electrolyzed water catalyst, and belongs to the technical field of preparation methods of electrocatalytic materials. CoO and CoP in the obtained electro-catalysis material are of a heterostructure, a large number of active interfaces and defect sites are exposed between the two components, and the electro-catalysis reaction is facilitated. The laser induced graphene (LIG) has excellent conductivity and huge specific surface area, and an ideal platform is provided for loading of CoO / CoP heterojunction nanosheets and construction of electron / mass transfer channels. The water electrolysis catalyst is simple in preparation process, high in stability, low in raw material price, easy to realize industrial mass production, and beneficial to realizing industrial development of hydrogen production by water electrolysis. The electrolyzed water catalyst can also be applied to degradation of urea in industrial and agricultural pollutants, and is an environment-friendly electrolyzed water catalyst.

The utility model is applicable to the technical field of agriculture, and provides an agricultural polluted soil remediation device which comprises a mounting frame, the first telescopic rod is fixedly mounted below the mounting frame, and a placement frame is fixedly mounted on an output shaft of the first telescopic rod; the soil turning frame is rotationally mounted on the placement frame and used for turning over agricultural contaminated soil, and a soil turning mechanism used for driving the soil turning frame to rotate to turn over the contaminated soil is arranged on the placement frame and the soil turning frame; the placement box is fixedly mounted on the mounting frame, the placement box is used for placing crop straw materials used for contaminated soil remediation, and a discharging hopper is fixedly mounted at the bottom of the placement box. According to the agricultural contaminated soil remediation device provided by the scheme, agricultural contaminated soil can be remedied, straw materials used for remediation can be well and uniformly sprayed on the contaminated soil, and the remediation efficiency of the contaminated soil is effectively improved.

The invention relates to the technical field of agricultural pollution treatment of saline-alkali soil, and provides a small farmland sewage treatment device, through the arrangement of an intelligent water inlet gate and an intelligent water outlet gate which are combined with a sensor, the pretreatment step of farmland sewage is omitted, the adaptability to extreme water quality can be ensured through intelligent regulation and control of an inlet and an outlet, and the operation is simple and convenient. The high-alkali and high-salt sewage is directly treated, the pretreatment cost is reduced, and the risk of secondary pollution is avoided to a certain extent; meanwhile, by utilizing a specific structured microorganism load and flow field environment, a commercially available composite microbial preparation is promoted to spontaneously form and maintain a functional complementary and metabolism coordinated efficient community in a single carrier, complex proportion regulation necessary for a traditional multi-strain system is avoided, and the technical threshold and the operation and maintenance cost are reduced.

The invention discloses a method for reducing perfluorooctanoic acid in crops by applying nitrate nitrogen fertilizer to competitively inhibit nitrate transporter protein, and relates to the technical field of agricultural pollutant control. Calcium nitrate Ca (NO3) 2 is used for providing 4-16 mmol / L or mmol / kg nitrate (NO3 <->) nitrogen fertilizer for lettuce planting under the water culture or soil culture condition; the transmembrane transport of nitrate transporter protein to perfluorooctanoic acid (PFOA) is competitively inhibited, and the accumulation amount of the edible part PFOA of the lettuce is reduced. By applying the nitrate nitrogen fertilizer, transmembrane absorption of NRT2.7 transport protein on PFOA is competitively inhibited, accumulation of PFOA in the lettuce is remarkably reduced, the food safety is improved, crop growth is synchronously promoted, and double benefits of pollution reduction and yield increase are achieved. The method is easy and convenient to operate, high in adaptability and suitable for water culture and soil culture conditions, and has the good popularization prospect and the cost advantage. The mechanism has universality in various crops and has wide extension application value.

The invention relates to the technical field of water and fertilizer all-in-one machine management and control, in particular to water and fertilizer all-in-one machine management and control equipment based on a crop growth model, which comprises an outer shell and a bottom frame body mounted on the bottom surface of the outer shell, a controller is mounted on the right side of the outer shell, and a fertilizer storage cavity and a water storage cavity are mounted in the upper surface of the outer shell in a penetrating manner; a mixing cavity is fixed in the lower surface of the outer shell in a penetrating manner, and the bottom surfaces of the fertilizer storage cavity and the water storage cavity are communicated with the interior of the upper surface of the mixing cavity through a discharging control pipe. The water and fertilizer all-in-one machine management and control equipment based on the crop growth model can automatically adjust the water and fertilizer proportion and the supply amount based on the crop growth model and the growth requirements of crops, achieves the purpose of precise irrigation and fertilization, and meanwhile, through combination and alternate irrigation of the drip irrigation pipe and the spraying pipe, not only improves the water and fertilizer utilization rate, but also improves the water and fertilizer utilization rate. Resource waste is reduced, the growth efficiency and quality of crops are remarkably improved, agricultural pollution is reduced, and the method conforms to the development concept of green agriculture.

The invention provides an agricultural polluted water treatment device and method, and relates to the technical field of sewage treatment.The agricultural polluted water treatment device comprises a first treatment pond, a second treatment pond, a third treatment pond, a top plate, a bearing plate, a first filter plate, a first spring, a sliding assembly, a rotating assembly and a stirring assembly; a water outlet is formed between the first treatment pond and the second treatment pond, a filtering assembly is arranged between the second treatment pond and the third treatment pond, the rotating assembly and the sliding assembly are connected with the bottom of a top plate arranged above, and the two ends of the rotating assembly are connected with a bearing plate and a filtering plate correspondingly; the bearing plate is connected with the bottom of the first treatment pond through a first spring, the rotating end of the rotating assembly is meshed with one end of the sliding assembly, the other end of the sliding assembly is connected with the stirring assembly, and the stirring assembly is used for stirring polluted water in the third treatment pond. According to the invention, the produced agricultural polluted water can be quickly and effectively treated, and the pollution of the polluted water to the surrounding environment is avoided.

This application discloses a method and system for agricultural pollution inspection management based on big data analysis. The method involves image processing, including: collecting hyperspectral image data and laser point cloud data of agricultural pollution facilities; denoising the hyperspectral image data using an improved minimum noise factorization transform (MNF) algorithm to obtain a spectral feature band Z; the improved MNF algorithm optimizes the noise covariance matrix by introducing inter-band correlation estimation, and optimizes the MNF transformation process using the spatial information of the hyperspectral image data; classifying the spectral feature band Z using a kernel-based support vector machine (SVM) to determine the material and pollutant type of the agricultural pollution facility; and optimizing the SVM classification results by implementing a spatial regularization strategy based on a Markov random field (MRF) in the SVM classification. To address the incomplete acquisition of pollution information during agricultural pollution inspections, this application comprehensively assesses agricultural pollution information.

The invention discloses agricultural non-point source pollution multi-stage treatment equipment and a treatment method, and relates to the technical field of agricultural pollution treatment. Comprising an interception ditch, an ecological purification module, a composite wetland module and a deep purification module, wherein the interception ditch is arranged at a to-be-restored farmland drainage outlet; through a four-stage treatment system of interception ditch pretreatment, adsorption and degradation of an ecological purification module, deep purification of a composite wetland module and precise separation of a deep treatment module, the synergistic effect of multiple processes such as physical interception, chemical adsorption, biodegradation and membrane separation is integrated, specifically, suspended solids are removed through a front-end interception ditch, pesticides are removed through the ecological purification module, and the treatment effect is achieved. Total nitrogen and total phosphorus are removed by the composite wetland module, and finally, after being treated by the MBR membrane tank, the wastewater comprehensively meets the farmland irrigation water quality standard, so that the problem that complex non-point source pollutants are not thoroughly removed by a traditional single treatment process is solved.

The invention relates to the technical field of information, and discloses an agricultural sewage treatment control method based on the Internet of Things, which comprises the following steps: acquiring sewage water quality data in different time periods and preprocessing the sewage water quality data to obtain standard water quality data; extracting time sequence data of the water quality indexes from the water quality indexes, and obtaining smoothed time sequence data by using a time sequence analysis method; according to the smoothed time sequence data, through a trained long-short-term memory neural network model, obtaining prediction data of a future time sequence of the water quality index; according to the prediction data, constructing an objective function of an optimization problem so as to establish a multi-objective optimization model; solving the multi-objective optimization model by adopting a particle swarm optimization algorithm to obtain an optimal combination of process parameters; and converting the optimal combination into a control instruction, issuing the control instruction to execution equipment of the sewage treatment system, and controlling the operation state of the execution equipment. According to the method, the process parameters can be adjusted in time, and the efficiency and the effect of agricultural pollution treatment are improved.

The invention discloses an air quality monitoring system and method based on deep learning, and relates to the technical field of air quality monitoring. According to the air quality monitoring system and method based on deep learning, a hardware-level encryption identifier and a federated learning architecture are adopted to ensure that sovereignty ownership is clear during data cross-border circulation, and ownership dispute caused by data format difference in a traditional scheme is avoided; the dual-channel analysis module fuses GAN spectral decomposition and morphological waveform detection, realizes precise separation of industrial / agricultural pollution sources in a single PM2.5 data stream, and reduces the misjudgment rate; the dynamic weight distributor is combined with terrain correction parameters, so that the monitoring network automatically optimizes space coverage in a complicated border landform, and the equipment blind area is reduced compared with a fixed station layout; the differential privacy and gradient desensitization technology constructs multiple protections, and the data leakage risk is effectively controlled on the premise of keeping the model precision.

The invention discloses a method for predicting a heavy metal pollution source in soil, which comprises the following steps: collecting 0-20cm surface soil, and obtaining the heavy metal content of explained variable soil; respectively processing and quantifying the data of the explanatory variables of the pollution sources; the pollution sources comprise heavy industrial pollution sources, agricultural pollution sources, main road traffic pollution sources and natural pollution sources, and the natural pollution sources are from surface water, underground water, rainfall and dust fall; quantized data of all pollution sources serve as explanatory variables of agricultural land soil heavy metal content C and heavy metal to be added into a spatial measurement model, an inverse distance spatial weight matrix is adopted for analysis of heavy metal sources in small-size and regional-range point-shaped soil, and spatial dependency and heterogeneity inspection is conducted on the data. According to the method, heavy metals in soil in a certain area can be predicted according to the model, the prediction effect accords with the actual situation, and technical support is provided for local soil heavy metal pollution prevention and control, monitoring and early warning.

The invention discloses an agricultural non-point source pollution abatement monitoring and evaluation method based on an entropy weight comprehensive pollution index, and belongs to the field of agricultural pollution abatement. The method comprises the following steps: determining monitoring point positions, monitoring frequencies and monitoring indexes of each treatment project according to a monitoring thought of pollution source-conveying path-receiving water area; a single-factor evaluation method and a comprehensive pollution index method are adopted to perform quantitative analysis on the pollution control effect, and an entropy weight method is combined to calculate the pollution removal rate, so that the effect of the pollution control project is evaluated. The method can be used for various agricultural non-point source pollution treatment scenes such as livestock and poultry breeding pollution treatment and aquaculture pollution treatment, and the scientificity and accuracy of pollution treatment monitoring are improved.

The application discloses a kind of agricultural pollution source investigation method and system based on stratified random sampling, it is related to agricultural environmental monitoring technical field, which comprises: the planting production pollution load and livestock breeding production pollution load of target area are calculated respectively;Based on the planting production pollution load and livestock breeding production pollution load of target area, the pollution load grade of each to be investigated field plot and each to be investigated breeding farm in target area is determined;Load area grade is high load, medium load or low load;The minimum sample size sampling method is used to stratified sampling to the to be investigated field plot or to be investigated breeding farm under different pollution load grades, and the final sampling survey sample size of the to be investigated field plot and the final sampling survey sample size of to be investigated breeding farm under different pollution load grades are obtained;The stratified sampling includes: first-level stratified sampling and second-level stratified sampling.The application improves the accuracy and scientificity of agricultural pollution source investigation result.

The invention discloses a rural domestic sewage treatment effect image recognition and evaluation method, system and platform based on deep learning. The method comprises the following steps: constructing a problem picture data set corresponding to a treatment effect evaluation associated object; generating and acquiring first data corresponding to each associated object, labeling and processing a type label of a target object in the first data, and creating a corresponding training set and verification set; building an image recognition model based on deep learning, optimizing model parameters through the training set and the verification set, and generating second data corresponding to each associated object according to the image recognition model; performing scoring processing on the second data according to a preset score assignment rule, and generating third data corresponding to the second data; and the third data is evaluation treatment effect data integrating the scores of the associated objects, and a system and a platform corresponding to the method can solve the problems of high professional requirements of evaluation personnel, poor result consistency, low efficiency and high cost of an existing agricultural pollution effect evaluation mode.

The present application relates to a small watershed agricultural non-point source pollution intelligent monitoring and early warning method and system based on hyperspectral remote sensing, which solves the defect that it is difficult to real-time small watershed agricultural non-point source pollution intelligent monitoring and early warning compared with the prior art. The present application comprises the following steps: monitoring partition and control section layout of agricultural non-point source pollution; investigation and monitoring of small watershed water environment agricultural non-point source pollution background; construction of small watershed water environment hyperspectral remote sensing background database; small watershed agricultural non-point source pollution intelligent monitoring and early warning. The present application is used for monitoring the pollution situation and change trend of agricultural pollution source and receiving water body, understanding the spatio-temporal evolution law of small watershed agricultural non-point source pollution, realizing real-time dynamic monitoring and early warning of the influence of regional agricultural non-point source pollution on water environment quality, and providing basic support for agricultural non-point source pollution control.

The invention discloses a nitrogen and phosphorus vertical seepage barrier plate for a farmland in a karst region, and belongs to the technical field of agricultural pollution treatment. The barrier plate is formed by mixing three materials of biochar, sepiolite and quick lime according to different particle sizes and different proportions, three nitrogen and phosphorus vertical seepage barrier layers with different thicknesses from top to bottom and from coarse to fine are constructed, and nitrogen and phosphorus in soil can be prevented from flowing into a water source by compacting the barrier plate and placing the barrier plate below a farmland plowing layer in the karst region. The barrier material designed by the invention has good adsorption and barrier effects on nitrogen and phosphorus, does not cause pollution to soil, and can be used for a long time. After adsorption saturation, the barrier layer can be taken out, adsorbed nitrogen and phosphorus are desorbed, and the nitrogen and phosphorus can be used as a barrier material again subsequently; or the barrier layer subjected to saturated adsorption is taken out to serve as a nitrogen-phosphorus fertilizer and a carbon source to be applied to the plough layer, so that the fertility of the barren soil is increased, carbon sequestration is achieved, pollutants such as heavy metal and antibiotics in the plough layer are adsorbed, and the mobility of the pollutants is reduced.

The utility model discloses an agricultural pollution interception ecological ditch which comprises a ditch main body and two fixing frames, the two fixing frames are fixedly connected to the top end of the ditch main body and are symmetrically arranged on the front side and the rear side, threaded rods are fixedly connected to the middles of the close sides of the two fixing frames, guide rods are arranged on the two sides of the threaded rods, and the guide rods are fixedly connected to the two sides of the ditch main body. The front end and the rear end of the guide rod are fixedly connected to the corresponding fixing frames correspondingly, a connecting block is arranged in the ditch body, the transmission device is arranged at the top end of the connecting block and comprises a shell fixedly connected to the top end of the connecting block, and through holes are formed in the middles of the front end and the rear end of the shell correspondingly. An intercepting device is arranged at the bottom end of the connecting block. The device has the advantages that the intercepting device is arranged, dirt such as silt can be intercepted in a classified mode, and the intercepting effect is better; and the transmission device is arranged and can drive the intercepting device and the connecting block to reciprocate, and manual labor is reduced.

The utility model discloses a floating object intercepting device for agricultural non-point source pollution treatment, and relates to the technical field of agricultural pollution treatment, the floating object intercepting device comprises an intercepting frame, a plurality of horizontal guide rails are fixedly connected to the two sides of the inner wall of the intercepting frame, and a collecting assembly is slidably connected to the center in the intercepting frame through the horizontal guide rails; according to the device, the collecting assembly is arranged on one side of the transmission chain, pollutants salvaged by the hook claw can be transferred into the collecting groove from the water surface in real time, rapid separation of garbage and an irrigation water body is achieved, and the device has the advantages of being simple in structure, convenient to use and high in practicability. Pollutants are effectively prevented from staying on the water surface for a long time, the pollutants accumulated in the collecting assembly can be detachably cleaned through an elastic clamping structure of the matching assembly and the abutting spring, the risk that harmful substances seep along with soaking or diffuse due to external force is avoided from the source, and the influence of garbage on the irrigation efficiency can be effectively reduced while pollution diffusion of an agricultural area is relieved.

The invention relates to a water ecosystem risk assessment system and method based on human activities and biological invasion, and belongs to the technical field of ecosystem data acquisition and processing. The system comprises a data acquisition module used for acquiring population data, industrial pollution data, agricultural pollution data, fish catch data, water area ecological data and water area remote sensing data; the data processing module is used for carrying out preprocessing and feature recognition on the data; the analysis and prediction module is used for calculating a human activity pressure index and an ecological system health index; and the risk assessment module is used for calculating risk assessment indexes. According to the system, the human activity pressure index and the ecological system health index are estimated through the data analysis module, and the risk assessment index of the water ecological system is estimated according to the indexes, so that the influence of human activities and biological invasion on the water ecological system is analyzed; and adjusting the protection strategy of the water ecosystem.

The invention discloses an agricultural pollution source investigation method and system based on layered random sampling, and relates to the technical field of agricultural environment monitoring, and the method comprises the steps: respectively calculating the planting productive pollution load and the livestock breeding productive pollution load of a target region; based on the planting productive pollution load and the livestock breeding productive pollution load of the target area, determining pollution load levels of each to-be-investigated field parcel and each to-be-investigated farm of the target area; the grade of the load area is high load, medium load or low load; stratified sampling is carried out on the to-be-investigated field parcels or the to-be-investigated farms under different pollution load levels by adopting a minimum sample size sampling method, and the final sampling investigation sample size of the to-be-investigated field parcels and the final sampling investigation sample size of the to-be-investigated farms under different pollution load levels are obtained respectively; the stratified sampling comprises primary stratified sampling and secondary stratified sampling. According to the invention, the accuracy and scientificity of agricultural pollution source investigation results are improved.

The application relates to the technical field of sewage treatment, in particular to a farm sewage distribution system and a control method thereof. The system comprises a farm sewage distribution unit, a sludge feeding unit, a sludge screening unit and a dosing unit. The farm sewage distribution unit and the sludge feeding unit are communicated with the dosing unit, and the sludge feeding unit, the sludge screening unit and the farm sewage distribution unit are communicated in sequence. The sludge screening unit is used for receiving sludge sent from the sludge feeding unit and separating heavy sludge in the sludge. The farm sewage distribution unit is used for receiving raw water, liquid medicine sent from the dosing unit and heavy sludge sent from the sludge screening unit. The farm sewage distribution unit distributes the mixture of the raw water, the liquid medicine and the heavy sludge to multiple biochemical pools of a biochemical treatment unit. The application aims to solve at least one technical problem in the background art and provides a farm sewage distribution system and a control method thereof.

The invention belongs to the technical field of agricultural science and environmental science, and discloses a method for verifying whether allogenic materials reduce the heavy metal content of plants or not, which comprises the following steps: in the same controllable environment, setting at least three independent cultivation boxes as a blank control group, a heavy metal stress group and an experimental treatment group respectively; the blank control group adopts a classic total nutrient solution or an improved total nutrient solution; the heavy metal stress group adds a target heavy metal salt solution into the blank control nutrient solution to form a stress nutrient solution; adding a to-be-tested allogenic material solution into the nutrient solution of the heavy metal stress group by the experimental treatment group; plant cultivation, sample treatment and analysis, and if the heavy metal content of an experimental treatment group is significantly lower than that of a heavy metal stress group and no significant accumulation exists in a blank control group, it is judged that the allogenic material has the effect of reducing plant heavy metal accumulation. The method is suitable for agricultural pollution remediation, food safety assessment and plant remediation technology research and development, and provides standardized technical support for screening efficient heavy metal passivators or plant conditioners.

The present invention discloses a composition for preventing and controlling phosphorus leaching in a strawberry field and a preparation method thereof, and the present invention relates to the technical field of agricultural pollution prevention and control. The composition comprises the following raw materials in parts by weight: 40-50 parts of modified biochar, 50-70 parts of modified zeolite, 10-20 parts of montmorillonite-chitosan complex, 15-25 parts of shiitake mushroom residue enzymatic hydrolysate and 5-10 parts of light calcium. The raw materials of the present invention are easy to obtain, low in cost, safe and environmentally friendly. The phosphorus leaching barrier layer constructed by the present invention can function sustainably for 4-5 years and can effectively prevent and control the risk of phosphorus leaching pollution. After the barrier capacity decreases, combined with deep plowing and land preparation, the barrier layer is fully mixed with the soil, providing beneficial substances to the soil layer, which has a positive effect on improving the soil biological environment. The problem of low phosphorus leaching barrier efficiency and complex raw materials in the prior art is solved.