68 results about "Agricultural nonpoint source pollution" patented technology

The invention discloses a key index screening method and system for investigation and monitoring of watershed agricultural non-point source pollution, and relates to the technical field of watershed agricultural non-point source pollution prevention and control. The method comprises the following steps: acquiring multi-source spatio-temporal data of a target area about watershed agricultural non-point source pollution; the multi-source spatio-temporal data comprises water quality monitoring data, geographic spatial data, yearbook statistical data and meteorological data; constructing a feature variable set and a target variable set by using a source-migration-sink theory based on the multi-source spatio-temporal data; inputting the feature variables in the feature variable set and the target variables in the target variable set into a pre-trained machine learning model to obtain a feature importance value of the contribution degree of each feature variable to each target variable; and screening out key indexes in the feature variable set according to the feature importance value. According to the method, a scientific and unified index system can be established, the monitoring cost is remarkably reduced, and the objectivity and comparability of evaluation are improved.

The invention relates to the technical field of agricultural environmental engineering and control, and discloses an agricultural non-point source pollution multistage control planning system and method based on a discussion hall architecture, and the system comprises an organization-level module, an adaptation-level module, a coordination-level module, an operation control-level module, a controlled-level module, a comprehensive integration discussion hall module, and an open external interface module. The organization level uses deep learning and causal inference to generate a full-watershed strategy; the discussion hall module fuses expert experience conversion constraints and carries out case migration; the adaptation level utilizes a recursive algorithm to dynamically correct model parameters; the coordination level adopts a hybrid optimization algorithm to solve a multi-objective optimization problem; the operation control level is combined with a feedforward feedback mechanism to generate an instruction; the controlled level executes actions and collects feedback; and the interface module is responsible for security encryption and verification of data interaction. According to the method, the expert intelligence of the discussion hall and the five-level hierarchical architecture are fused, qualitative and quantitative combination and full-basin dynamic collaborative optimization are realized, and the management and control precision and the response speed are improved.

The invention is suitable for the field of digital control, and discloses an energy recovery method and system for agricultural non-point source pollution treatment and a storage medium. The energy recovery method for agricultural non-point source pollution treatment comprises the steps that if to-be-treated pollutants are detected, component information of the to-be-treated pollutants is detected, the component information comprises the carbon nitrogen ratio, the water content and the organic matter content, and the to-be-treated pollutants comprise at least one of livestock and poultry breeding waste, crop straw, rural domestic sewage and agricultural production wastewater; according to the component information, a target energy conversion process is selected, and the target energy conversion process comprises at least one of an anaerobic fermentation biogas preparation process, a biomass pyrolysis fuel gas production process, a sewage anaerobic electricity production process and a straw solidification heat production process; according to the target energy conversion process, the recovered energy is output, collected and stored, and the energy comprises at least one of methane, combustible mixed gas, electric energy and heat energy. The conversion efficiency of energy recovery is improved.

This invention provides a composite ecological restoration system and method for agricultural non-point source pollution in lakes. The system includes several pre-treatment reservoirs located at the lake's edge, each including a sedimentation zone, a shallow water purification zone, and a deep water purification zone; several water quality improvement wetlands adjacent to the pre-treatment reservoirs; several ecological interception ditches located at the entry points of agricultural non-point source pollution into the lake; a shoreline ecological interception zone surrounding the lake and located along its shoreline; an ecological enclosure adjacent to the water quality improvement wetlands, within which a submerged plant restoration zone is arranged; several submerged plant restoration zones are located inside the ecological enclosure; and ecological floating islands are evenly distributed within the lake. This invention can effectively address the complex and variable nature of lake non-point source pollution, improve the treatment effect of lake non-point source pollution, and achieve the goal of treating different types of lakes.

The invention relates to the technical field of farmland available nutrient information online acquisition, and discloses an online farmland available nitrogen and phosphorus nutrient networking monitoring method which comprises the following steps: firstly, burying a plurality of sensor combined probes and sampling probes in different depths of farmland monitoring area soil; secondly, constructing a monitoring device at a farmland intersection to extract soil leaching solutions at different depths and monitor the content of available nitrogen and phosphorus nutrients on line; and finally, uploading a monitoring result to a cloud platform for storage, analysis and processing. According to the method, the dynamic change of available nitrogen and phosphorus nutrients in different depths of soil is monitored on line, so that farmland available nutrient information is obtained on line, accurate management of crop nutrients is realized, and the problems of hysteresis and data distortion of a traditional sampling detection method are solved; meanwhile, nutrient distribution of a monitoring area is managed in combination with an internet cloud platform, space nutrient information of a certain farming area is obtained, the fertilization mode is dynamically adjusted, the utilization rate of chemical fertilizer is effectively increased, and a scientific basis is provided for agricultural non-point source pollution prevention and control.

The invention discloses a rice-wheat rotation area liquid manure efficient returning planting method, which comprises the following steps: step 1, precisely metering and applying liquid manure subjected to innocent treatment, step 2, precisely applying the liquid manure by stages according to the fertilizer requirement rules of rice and wheat in different growth periods, and step 3, performing returning operation by combining injection type deep application and movable sprinkling irrigation equipment. 4, carrying out matched management after the liquid manure is applied; 5, carrying out a dynamic management closed loop of measurement, calculation, determination, application, monitoring and regulation; through system implementation and dynamic closed-loop management of three precise dimensions of opportunity, method and proportioning, ammonia volatilization and nitrogen and phosphorus runoff loss are greatly reduced, agricultural non-point source pollution is effectively controlled, soil organic matter is stably increased, chemical fertilizer investment can be remarkably reduced through precise replacement, the production cost is reduced, and the economic benefit is increased. Meanwhile, fertilizer utilization rate is increased, annual yield of rice and wheat is increased, and income is increased.

The invention discloses an agricultural non-point source pollution monitoring data quality evaluation method, and relates to the field of agricultural environment monitoring, an agricultural non-point source pollution area to be monitored is divided into a plurality of grid areas to be monitored, and a fixed monitoring unit is arranged in the physical center of each grid area; and the server creates a double-track digital file for each grid area, the double-track digital file comprises a static attribute and a dynamic attribute, the double-track digital file is stored in a database and updated according to a preset period, and an updated version record is retained. According to the method, a three-dimensional multi-index comprehensive scoring and fixed mobile monitoring collaborative verification mode is adopted, the key dimension of data quality is comprehensively covered, misjudgment is reduced, and the evaluation accuracy is improved. An index calculation method, weight configuration and threshold standard are clear, the process is clear and operable, and actual popularization and application are facilitated. And targeted rectification suggestions are output, so that the quality optimization of the monitoring data can be directly guided, the reliability of the monitoring data is guaranteed, and powerful support is provided for agricultural non-point source pollution abatement decisions.

The utility model discloses a treatment device for preventing and treating agricultural non-point source pollution, which comprises a box body, one side of the box body is provided with a water inlet pipe, the other side of the box body is provided with a water drainage pipe, a filter plate is detachably connected between the inner walls of the two sides of the box body through bolts, one side of the box body is provided with an avoiding opening, and the avoiding opening is provided with a water outlet. And the avoiding opening is located between the water inlet pipe and the filter plate, a collecting box is slidably connected into the avoiding opening, one side of the collecting box makes contact with the inner wall of one side of the box body, a fixing assembly is arranged between the box body and the collecting box, and two handles are fixedly connected to one side of the collecting box. According to the sewage treatment device, polluted water entering the box body can be preliminarily filtered through the filter plate, and filtered garbage can be collected into the collection box through the collection box, so that treatment is facilitated.

The invention discloses a crop disease, pest and weed identification and pesticide application system and method based on multi-modal fusion, and the system comprises a multi-modal data collection unit, an edge calculation and intelligent identification unit, and a precise decision and targeted pesticide application unit. The multi-modal data acquisition unit is used for acquiring visible light information of crops, fine spectral information of canopies and geographical location information, and the edge calculation and intelligent identification unit is used for preprocessing the acquired multi-modal data, then performing cross-modal attention fusion, performing information feature comparison with a stored disease, pest and weed damage library, and obtaining a target object. The accurate decision-making and targeted pesticide application unit is used for completing accurate pesticide delivery according to the information of the diseases, the weeds and the pests of the crops. Through targeted pesticide application and on-demand pesticide preparation, it is predicted that the pesticide use amount can be reduced by 50% or above, the production cost is directly reduced, and the risk of agricultural non-point source pollution and agricultural product pesticide residue is relieved from the source.

The invention discloses a pixel scale water environment safety assessment method based on a non-point source water body pollution risk, and belongs to the technical field of environmental protection. According to the method, through an agricultural non-point source pollution direct evaluation method, the pollution risk of terrestrial agricultural non-point source output to surface water is accurately quantified, a DPeRS model is introduced, quantitative evaluation of the remote sensing pixel scale agricultural non-point source river entering amount is achieved, and the pixel scale agricultural non-point source river entering concentration is quantified as a non-point source pollution risk evaluation index in combination with an SWAT model. With surface water environment quality improvement as a target, an agricultural non-point source pollution in-water risk grade threshold value is determined based on a nitrogen and phosphorus concentration limit value in a surface water environment quality standard and a national secondary pollution general survey agricultural non-point source proportion, and a pixel scale agricultural non-point source in-water pollution risk prominent area is rapidly screened. High-precision target positioning of remote sensing pixel scale agricultural non-point source pollution is realized, and source-targeted agricultural non-point source pollution precise prevention and control and agricultural non-point source pollution treatment effect evaluation are facilitated.

The invention relates to the technical field of environment monitoring, and discloses a plateau lake basin cultivated land soil pollution multi-index synchronous monitoring method. The method is suitable for plateau lake basin cultivated land, and under the condition that plateau lake basin cultivated land soil measured data is high in acquisition cost and difficult to acquire in quantity, a spatial distribution diagram of cultivated land soil non-point source pollution source load indexes is acquired in a large-scale, low-cost and high-efficiency manner by assisting limited field monitoring data through a satellite remote sensing means. Through long-term soil pollution index content and variable quantity monitoring and risk level evaluation, visualization, quantifiability, traceability and prevention and control of non-point source pollution are realized, the limitation of replacing surface by point in traditional point location measurement is overcome, and the method is the most efficient method for evaluating the potential risk of agricultural non-point source pollution.

The application provides a kind of method for identifying key source area of non-point source pollution, comprising: S1, the band of remote sensing image is fused, the multispectral image of study basin is generated, and the multispectral image is preprocessed and classified, to obtain the land use spatial distribution map of study basin, the land use spatial distribution map includes land use spatial distribution data;S2, calculate the influence factor related to soil erosion;And calculate the soil erosion modulus of study basin, and divide soil erosion grade according to soil erosion modulus;S3, calculate the landscape space load ratio index;S4, the land use spatial distribution map, the landscape space load ratio index, the soil erosion grade is standardized and spatial superposition analysis, to identify the key source area of non-point source pollution.The application can improve the accuracy of identifying pollution key source area, thereby providing technical support for agricultural non-point source pollution control and environmental protection.

The invention belongs to the technical field of agricultural non-point source pollution treatment and water body environment restoration, and particularly relates to a carbon-nitrogen-phosphorus synergistic purification system for polder area farmland water recession ditches and application of the carbon-nitrogen-phosphorus synergistic purification system. The system comprises a floatable photocatalytic water purification net and a modular purification box, the water purification net is composed of a polylactic acid / graphite phase carbon nitride modified polyurethane porous fiber sponge, and primary purification of nitrogen, phosphorus and organic pollutants in a water body is achieved through an adsorption-photocatalysis synergistic effect; a plurality of reaction chambers connected in series are constructed in the purification box through slope type choked flow baffles, and each reaction chamber is filled with a light composite adsorption filler taking polyethyleneimine modified loofah sponge-zeolite as a core, so that deep removal of nitrogen, phosphorus and organic pollutants is realized. According to the invention, a floating and modular unit is constructed by using a light functional material, and efficient and synchronous removal of carbon, nitrogen and phosphorus is realized through the cooperation of photocatalytic oxidation and specific adsorption on the premise of ensuring the drainage safety of the ditch.

The present application relates to the technical field of agricultural environment monitoring, and discloses a livestock and poultry manure field returning excessive judgment system based on environmental safety, which firstly collects basic data such as farmland soil nutrients, soil structure, meteorological conditions, groundwater depth, terrain slope, crop demand and manure nutrients, and carries out spatial gridding modeling on the farmland area; on this basis, the soil nutrient carrying capacity of each grid unit, the manure nutrient input and the crop nutrient absorption capacity are evaluated, and the nutrient diffusion risk index is calculated in combination with environmental factors such as rainfall, slope and groundwater depth; further, the manure safe application threshold and the excessive index are calculated by comprehensively considering the above parameters, so as to judge whether the manure field returning exceeds the environmental safety range, and output the risk early warning and application control suggestion. The present application can realize fine monitoring and dynamic management of the livestock and poultry manure field returning process, improve the resource utilization efficiency of manure, and reduce the risk of agricultural non-point source pollution.

This invention belongs to the field of pollution control technology and discloses an intelligent natural recycling system for farmland irrigation, fertilization, drought prevention, and water-saving, comprising 15 core nodes. The connections between these 15 core nodes form a complete closed-loop system integrating biogas energy recycling, water and fertilizer purification recycling, and organic fertilizer preparation recycling. This invention realizes the resource utilization of organic waste, thoroughly controls agricultural non-point source pollution, fully recovers biogas for power generation, achieves clean energy self-sufficiency and grid connection, and converts biogas slurry and sludge into water-soluble fertilizer and organic fertilizer, replacing chemical fertilizers. The entire system operates in a closed loop, with no secondary pollution, saving water, increasing efficiency, and ensuring harvests and drought prevention.

The invention relates to a heterogeneous sensor-oriented agricultural non-point source pollution monitoring data fusion and quality control method. According to the method, firstly, heterogeneous monitoring data is subjected to standardization processing, a drainage basin agent model fusing a physical mechanism is constructed, and then a dynamic event graph describing a cross-domain causal relationship is established according to the drainage basin agent model; when it is detected that data is abnormal, the system performs reverse traceability through the atlas and drives the agent model to generate a theoretical expected value, and logic consistency verification is performed through comparison so as to distinguish a real pollution event from a sensor fault; for the data judged to be faulty, an optimization model fused with physical constraints is further established and solved, and a self-consistent repair value conforming to a pollution transmission rule is generated, so that quality control normal form transformation from isolated threshold judgment to cross-domain logic verification is realized; the accuracy of complex pollution event identification, the reliability of sensor fault diagnosis and the physical rationality of an abnormal data restoration result are remarkably improved.

This invention relates to a composite microbial agent for the remediation of hexavalent chromium pollution and its application, belonging to the field of environmental engineering technology. The composite microbial agent for hexavalent chromium pollution remediation includes anaerobic bacteria, aerobic bacteria, heavy metal bacteria, and a carbon source. This composite microbial agent can maintain high activity in the actual complex environment of groundwater with low temperature and low nutrients, rapidly reducing hexavalent chromium to low-toxicity, low-migration trivalent chromium, achieving efficient removal of hexavalent chromium. The in-situ remediation method for hexavalent chromium-contaminated groundwater of this invention can be widely applied in environmental engineering fields such as industrial site pollution remediation, mine wastewater treatment, and agricultural non-point source pollution remediation, and is particularly suitable for in-situ injection-enhanced natural attenuation groundwater remediation processes.

The invention relates to the technical field of watershed hydrology and water quality simulation and agricultural non-point source pollution control, and discloses a watershed fertilization management-oriented SWAT multi-scenario automatic construction and evaluation method, which comprises the following steps of: establishing an SWAT reference model for a target watershed, constructing multiple groups of fertilization scenarios for target crops in a parameter configuration table manner, and establishing an SWAT reference model for the target watershed; and respectively operating multiple groups of fertilization scenarios on the SWAT reference model to simulate fertilization to obtain simulation data of each group of fertilization scenarios, further analyzing to obtain evaluation index data of each group of fertilization scenarios, comprehensively evaluating the multiple groups of fertilization scenarios, and screening out an optimal fertilization scenario for a target crop. According to the method, automatic construction and batch simulation of a fertilization scene are realized in a parameterized and templated manner, a multi-index automatic evaluation system covering water quality, yield and fertilization input is established, and the efficiency and scientificity of watershed agricultural non-point source pollution control and fertilization management optimization research are remarkably improved.

The application discloses a light-controlled oxidation-reduction dual-mode biochar and application of the biochar in construction of a self-purification biological buffer zone, and belongs to the field of environmental functional materials and agricultural non-point source pollution control technology. The application takes biomass resource utilization as a channel, and prepares a light-controlled oxidation-reduction dual-mode biochar by co-pyrolysis of a semiconductor material precursor and biomass rich in nitrogen / sulfur through a one-step pyrolysis method. The prepared biochar utilizes photo-generated holes to oxidize and degrade organic pollutants and nitrate ammonia nitrogen into nitrate nitrogen under daytime light, and stores photo-generated electrons in doped sites of the biochar skeleton at the same time. The stored electrons are released to reduce nitrate nitrogen into nitrogen in situ at night. The dual-mode biochar is used as a core functional filler to construct a self-purification biological buffer zone, and efficient and synergistic removal of nitrogen and phosphorus pollutants and pesticides is realized by utilizing natural day and night alternation, and the buffer zone is endowed with continuous self-purification capacity, so that the risk of saturation of traditional fillers and secondary pollution is solved.

The application discloses a kind of agricultural non-point source pollution load evaluation method, device and medium based on water quality monitoring, and is related to agricultural non-point source detection field, wherein, method includes: according to hydrology water quality monitoring data, the sampling days of each target pollutant are estimated, the daily load data corresponding to the estimated minimum sampling days is posterior stratification, and the annual load of each target pollutant in each stratification is estimated by applying ratio method, and finally the annual total load of each target pollutant is obtained.In the application, the minimum sampling days is obtained by estimating the sampling days, which reduces the number of samples involved in pollution load calculation, improves the calculation efficiency, and uses ratio method to estimate pollution load, which ensures the accuracy of load estimation value under the premise of relatively high efficiency.

This invention provides a method and system for identifying agricultural non-point source pollution risks in lake basins. The method includes: acquiring meteorological and crop data and inputting them into a constructed basin SWAT model; running the model monthly to obtain the runoff of each river and the concentration and output of non-point source pollutants in each river; constructing a river-lake estuary MIKE21 model to simulate the changes in lake non-point source pollutants for the current month and predict the next month, obtaining lake water quality indicators, and determining whether the lake currently meets the requirements of the lake's water function zone. If so, the risk area under the minimum reduction inflow load scenario is determined, and the basin SWAT model is called again for basin-wide agricultural non-point source pollution control. If not, the input load of each inflow river sub-basin is reduced one by one until the water quality meets the standards. Based on the basin's agricultural characteristics and meteorological and hydrological forecasts, this invention identifies and predicts key areas and time periods for agricultural non-point source pollution and proposes small-basin and segmented area management, demonstrating significant environmental and ecological benefits as well as socio-economic benefits.

The invention relates to the technical field of livestock and poultry breeding, and discloses a livestock and poultry breeding carbon nitrogen collaborative reduction control and recycling system, which comprises a whole-chain data sensing module, a data driving prediction module and a dynamic adjustment adaptation module, and is characterized in that the whole-chain data sensing module is used for deploying an intelligent sensor by adopting a wireless sensing node in a livestock and poultry breeding area; the method comprises the following steps: monitoring the whole chain, acquiring whole chain monitoring data, predicting carbon nitrogen emission, a resource value coefficient and a carbon nitrogen emission reduction capability index based on the whole chain monitoring data through a data driving prediction module, and outputting a dynamic optimization adjustment scheme based on a prediction result of the data driving prediction module through a dynamic adjustment adaptation module. According to the system, a full-chain solution scheme from data support to quantitative evaluation to precise regulation and control is constructed, the goal of carbon and nitrogen collaborative reduction and control is achieved, the manure resource utilization efficiency is improved, the pressure of agricultural non-point source pollution and environmental compliance is relieved, and the breeding system is promoted to be transformed to the green sustainable direction.

The application relates to the technical field of ecological environment treatment, in particular to a hilly agricultural non-point source pollution treatment bamboo-woven ecological pool and a manufacturing method thereof. The pool pit is internally provided with a pool wall frame. The pool wall frame comprises bamboo poles. The plurality of bamboo poles are arranged in a circumferential array on the inner wall of the pool pit, and the bamboo poles are vertically arranged. Microbial strains are arranged in the bamboo poles. A bamboo-woven basket is arranged in the pool wall frame. The outer side of the bamboo-woven basket is coated with multiple layers of clay slurry. Pool water is added in the bamboo-woven basket, so that the effective treatment of the agricultural non-point source pollution in the hilly area is guaranteed.

This invention discloses an analytical method for the correlation mechanism between farmland fertility resilience and ecological barriers in black soil regions, relating to the field of agricultural non-point source pollution control technology. The method includes the following steps: S1: Establishing an evaluation index system for farmland fertility resilience; S2: Finding optimal parameters and establishing a candidate library of resilience measurement methods; S3: Screening out the optimal resilience measurement method using multiple methods; S4: Analyzing the evolution law and driving effects of farmland resilience in black soil regions using the optimal measurement method; S5: Correlating farmland resilience and ecological barriers across scales in black soil regions to analyze the interaction mechanism between farmland resilience and ecological barriers. This invention, employing the above-mentioned analytical method for the correlation mechanism between farmland fertility resilience and ecological barriers in black soil regions, significantly improves the scientific nature of weight allocation and the accuracy of model prediction; it accurately identifies driving factors and their interaction mechanisms, providing a theoretical basis and technical support for the sustainable management of farmland in black soil regions.

The application discloses a kind of methods for preventing saline-alkali farmland drainage nitrogen and phosphorus loss, specifically related to the technical field of agricultural environmental protection and water and fertilizer management;Establish a three-dimensional drainage path initial model, according to the slope and sodium saturation of each micro-unit joint index, calculate the drainage easy flow intensity coefficient;Further through experimental nitrogen and phosphorus tracking irrigation, monitor the nitrogen and phosphorus concentration change rate in different regions, obtain nitrogen and phosphorus migration sensitivity parameters;Then the drainage easy flow intensity coefficient and nitrogen and phosphorus migration sensitivity parameters are combined, the nitrogen and phosphorus loss risk index is constructed, and the nitrogen and phosphorus loss risk hot zone distribution map of saline-alkali farmland is formed, the area with risk index exceeding the preset threshold is identified as the target area needing regulation, and differential regulation measures are implemented in the target area, the application can realize the accurate identification and dynamic regulation of nitrogen and phosphorus loss in saline-alkali farmland, improve the fertilizer utilization efficiency, reduce the risk of agricultural non-point source pollution, and has strong popularization significance.

The invention relates to the field of farmland residual film pollution risk assessment and early warning, and discloses a farmland residual film pollution comprehensive risk assessment and early warning method coupled with space-air-ground data. According to the method, spatial distribution of mulching films and residual films is extracted, and multi-dimensional data such as cultivated land quality grades, basic farmland ranges, administrative boundaries and agricultural statistics are integrated; after unifying the coordinate system and delimiting an evaluation unit, calculating the residual film rate, the retention rate and the land average production capacity; a farmland residual film pollution comprehensive risk assessment model including a residual film pollution index, a cultivated land quality grade, basic farmland attributes and average land production capacity is constructed, and a comprehensive risk index is calculated; and dividing risk levels based on a natural breakpoint method, analyzing and identifying spatial aggregation features in combination with cold and hot spots, and generating an early warning level spatial distribution diagram. According to the invention, through fusion of space-air-ground data, whole-process supervision from identification to evaluation to early warning is realized, evaluation scientificity, accuracy and efficiency are improved, and effective technical support is provided for agricultural non-point source pollution treatment.

This invention provides an intelligent river water quality monitoring system based on remote sensing technology, belonging to the field of river monitoring technology. It solves the technical problem that current intelligent river water quality monitoring systems cannot achieve comprehensive, all-weather, and integrated monitoring from large-scale to micro-scale perspectives. The intelligent river water quality monitoring system based on remote sensing technology includes a satellite remote sensing module, a UAV remote sensing module, an upper-level gimbal module, and a ground-based water quality detection module. In this invention, by setting up the satellite remote sensing module, UAV remote sensing module, upper-level gimbal module, and ground-based water quality detection module, multi-source collaborative monitoring of river water quality from space, air, and ground is achieved. Furthermore, with the assistance of the unmanned surface vessel's fixed-ship flow measurement component, mobile and fixed-point monitoring can be performed within the river. Simultaneously, by utilizing satellite remote sensing and UAVs, advanced and mature technologies for agricultural non-point source pollution satellite remote sensing and ground-based automatic monitoring are integrated, enabling water quality monitoring to move from large-scale to micro-scale detection.

The utility model relates to a multi-stage ecological interception ditch for agricultural non-point source pollution prevention and control, which is suitable for agricultural non-point source pollution prevention and control. Comprising a ditch body, ecological protection slopes are arranged on the two sides of the ditch body, slope plants are arranged on the slopes of the ecological protection slopes, a plurality of interception dams are distributed in the ditch body in a staggered mode to form a snakelike overflowing channel, the upstream side of each interception dam is provided with a slag blocking net, the upper edge of each slag blocking net is higher than the water surface, and the area between every two adjacent interception dams is a purification area. By arranging multiple stages of interception units, the retention time of a water body is greatly prolonged, so that the sewage treatment and purification efficiency is further improved. Through multiple effects of physics and microorganisms, the filtering and conversion performance of the ecological interception ditch on nitrogen and phosphorus in water is improved, and then the purification effect of the ecological ditch is integrally improved.

The present application relates to the technical field of agricultural non-point source pollution prevention and control and slope farmland soil and water conservation, and particularly relates to a five-zone three-stage double-cycle slope farmland non-point source pollution prevention and control system, which comprises, from top to bottom along the slope, an abrupt slope source head control zone, a middle slope soil flow nutrient interception zone, a regulation and storage moisture stabilization zone, a gentle slope ecological interception double purification ditch zone and an ecological pool recycling zone, forming a five-zone prevention and control system; wherein the abrupt slope source head control zone constitutes a source head control barrier, the middle slope soil flow nutrient interception zone and the gentle slope ecological interception double purification ditch zone constitute a process interception and purification barrier, and the regulation and storage moisture stabilization zone and the ecological pool recycling zone constitute a terminal stabilization maintenance and recycling barrier. In the system operation, the purified tail water is recycled for irrigation, water replenishment or soil moisture conservation to form a water cycle, and agricultural waste is used as an adsorption, carbon source or moisture retention material and is renewed to form a material cycle. The present application can realize hierarchical interception of runoff and soil flow, nitrogen and phosphorus reduction, denitrification and purification, and resource recycling.

The invention relates to the technical field of agricultural non-point source pollution treatment, and particularly discloses an ammonia direct oxidation denitrification method suitable for a slope cropland ecological ditch. According to the method, one or more AMAO reaction units are arranged in an ecological ditch system along a longitudinal slope of a ditch in a stepped manner, and ammonia nitrogen is directly converted into nitrogen in the ecological ditch system by utilizing AMAO functional flora based on a microbial acetone-mediated ammoxidation (AMAO, acetone + ammonia-acetoxime-acetone + nitrogen) way in the AMAO reaction units, so that the ammonia nitrogen can be directly converted into nitrogen in the ecological ditch system. The system utilizes widely distributed AMAO functional microorganisms to directly convert ammonia nitrogen into nitrogen in a single reaction unit, so that the limitation of a traditional nitrification-denitrification path is broken through. According to the invention, through the modularized stepped drop structure, the composite functional filler layer and accurate microenvironment regulation and control, the efficient and stable removal of ammonia nitrogen in the slope cropland farmland drainage under the conditions of low energy consumption and low cost is realized, and a brand new technical normal form is provided for solving the problem of nitrogen pollution of the slope cropland.